Ballx.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!gdown https://drive.google.com/uc?id=1uqdj-mCZTwxwEhVG3utjtHlNDiDa0LZf"
      ],
      "metadata": {
        "id": "UeQy4X_IYuUu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b809fd0e-d836-4a96-f449-980909eac154"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1uqdj-mCZTwxwEhVG3utjtHlNDiDa0LZf\n",
            "To: /content/Ballx.zip\n",
            "\r  0% 0.00/5.73M [00:00<?, ?B/s]\r100% 5.73M/5.73M [00:00<00:00, 97.4MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip Ballx"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NCk89WL35nrv",
        "outputId": "088b2520-3f02-4715-bfeb-da567ba9999c"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  Ballx.zip\n",
            "   creating: Ballx/train/\n",
            "   creating: Ballx/train/images/\n",
            "  inflating: Ballx/train/images/B1.jpg  \n",
            "  inflating: Ballx/train/images/B2.jpg  \n",
            "  inflating: Ballx/train/images/B3.jpg  \n",
            "  inflating: Ballx/train/images/B4.jpg  \n",
            "  inflating: Ballx/train/images/s.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.05.58_22d3339c.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.05.58_421f2c30.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.05.59_9dd8b7d9.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.00_9f33e9d6.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.00_c62285e1.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.01_6e295376.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.02_f401e080.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.03_332b9565.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.04_989f1b92.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.05_0a77d2ad.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.05_da7d48c0.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.06_b96f77c0.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.08_d9f57f6a.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.09_24c1e074.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.09_527d8bca.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.09_5b55a40d.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.09_9e58104d.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.10_17153f5e.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.10_bb425cdf.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.11_6c2358ac.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.12_cddbba49.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.12_e65e4a8b.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.13_26737756.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.13_a2bf8825.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.14_1457842b.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.14_98963fb6.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.14_f434b711.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.15_1d5eb4bd.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.15_34be8b1f.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.15_7675daf9.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.16_7d4c02eb.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.17_022b2b29.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.17_3a154ce8.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.17_f0e975c4.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.19_0c875f15.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.21_4aed2832.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.21_67d6439d.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.21_a1796c4d.jpg  \n",
            "  inflating: Ballx/train/images/WhatsApp Image 2023-12-03 at 14.06.22_a577f0e1.jpg  \n",
            "   creating: Ballx/train/labels/\n",
            "  inflating: Ballx/train/labels/B1.txt  \n",
            "  inflating: Ballx/train/labels/B2.txt  \n",
            "  inflating: Ballx/train/labels/B3.txt  \n",
            "  inflating: Ballx/train/labels/B4.txt  \n",
            " extracting: Ballx/train/labels/classes.txt  \n",
            "  inflating: Ballx/train/labels/s.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.05.58_22d3339c.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.05.58_421f2c30.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.05.59_9dd8b7d9.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.00_9f33e9d6.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.00_c62285e1.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.01_6e295376.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.02_f401e080.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.03_332b9565.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.04_989f1b92.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.05_0a77d2ad.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.05_da7d48c0.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.06_b96f77c0.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.08_d9f57f6a.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.09_24c1e074.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.09_527d8bca.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.09_5b55a40d.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.09_9e58104d.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.10_17153f5e.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.10_bb425cdf.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.11_6c2358ac.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.12_cddbba49.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.12_e65e4a8b.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.13_26737756.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.13_a2bf8825.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.14_1457842b.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.14_98963fb6.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.14_f434b711.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.15_1d5eb4bd.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.15_34be8b1f.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.15_7675daf9.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.16_7d4c02eb.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.17_022b2b29.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.17_3a154ce8.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.17_f0e975c4.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.19_0c875f15.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.21_4aed2832.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.21_67d6439d.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.21_a1796c4d.txt  \n",
            "  inflating: Ballx/train/labels/WhatsApp Image 2023-12-03 at 14.06.22_a577f0e1.txt  \n",
            "   creating: Ballx/val/\n",
            "   creating: Ballx/val/images/\n",
            "  inflating: Ballx/val/images/WhatsApp Image 2023-12-03 at 14.21.45_589cc68f.jpg  \n",
            "  inflating: Ballx/val/images/WhatsApp Image 2023-12-03 at 14.21.52_cbf98327.jpg  \n",
            "   creating: Ballx/val/labels/\n",
            " extracting: Ballx/val/labels/classes.txt  \n",
            "  inflating: Ballx/val/labels/WhatsApp Image 2023-12-03 at 14.21.45_589cc68f.txt  \n",
            "  inflating: Ballx/val/labels/WhatsApp Image 2023-12-03 at 14.21.52_cbf98327.txt  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aiosHyBMfy3i",
        "outputId": "6c70b52f-c727-483f-cf08-6292e724b4c4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting ultralytics\n",
            "  Downloading ultralytics-8.0.221-py3-none-any.whl (646 kB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/646.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m30.7/646.6 kB\u001b[0m \u001b[31m794.4 kB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m194.6/646.6 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m646.6/646.6 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: matplotlib>=3.3.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (3.7.1)\n",
            "Requirement already satisfied: numpy>=1.22.2 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (1.23.5)\n",
            "Requirement already satisfied: opencv-python>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (4.8.0.76)\n",
            "Requirement already satisfied: pillow>=7.1.2 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (9.4.0)\n",
            "Requirement already satisfied: pyyaml>=5.3.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (6.0.1)\n",
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            "Requirement already satisfied: scipy>=1.4.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (1.11.4)\n",
            "Requirement already satisfied: torch>=1.8.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (2.1.0+cu118)\n",
            "Requirement already satisfied: torchvision>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (0.16.0+cu118)\n",
            "Requirement already satisfied: tqdm>=4.64.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (4.66.1)\n",
            "Requirement already satisfied: pandas>=1.1.4 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (1.5.3)\n",
            "Requirement already satisfied: seaborn>=0.11.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics) (0.12.2)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from ultralytics) (5.9.5)\n",
            "Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from ultralytics) (9.0.0)\n",
            "Collecting thop>=0.1.1 (from ultralytics)\n",
            "  Downloading thop-0.1.1.post2209072238-py3-none-any.whl (15 kB)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (1.2.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (0.12.1)\n",
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            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (1.4.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (23.2)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (3.1.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib>=3.3.0->ultralytics) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.4->ultralytics) (2023.3.post1)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.23.0->ultralytics) (2023.11.17)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.13.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (3.1.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (2023.6.0)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.8.0->ultralytics) (2.1.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib>=3.3.0->ultralytics) (1.16.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.8.0->ultralytics) (2.1.3)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.8.0->ultralytics) (1.3.0)\n",
            "Installing collected packages: thop, ultralytics\n",
            "Successfully installed thop-0.1.1.post2209072238 ultralytics-8.0.221\n"
          ]
        }
      ],
      "source": [
        "!pip install ultralytics"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from ultralytics import YOLO\n",
        "model=YOLO()\n",
        "model.train(data=\"data.yaml\",epochs=50)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8slQ3_nO5254",
        "outputId": "4ecb4217-e440-46b7-ac34-b0504eb6cfbd"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt to 'yolov8n.pt'...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 6.23M/6.23M [00:00<00:00, 261MB/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ultralytics YOLOv8.0.221 🚀 Python-3.10.12 torch-2.1.0+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "\u001b[34m\u001b[1mengine/trainer: \u001b[0mtask=detect, mode=train, model=yolov8n.pt, data=data.yaml, epochs=50, patience=50, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train\n",
            "Downloading https://ultralytics.com/assets/Arial.ttf to '/root/.config/Ultralytics/Arial.ttf'...\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 755k/755k [00:00<00:00, 117MB/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Overriding model.yaml nc=80 with nc=1\n",
            "\n",
            "                   from  n    params  module                                       arguments                     \n",
            "  0                  -1  1       464  ultralytics.nn.modules.conv.Conv             [3, 16, 3, 2]                 \n",
            "  1                  -1  1      4672  ultralytics.nn.modules.conv.Conv             [16, 32, 3, 2]                \n",
            "  2                  -1  1      7360  ultralytics.nn.modules.block.C2f             [32, 32, 1, True]             \n",
            "  3                  -1  1     18560  ultralytics.nn.modules.conv.Conv             [32, 64, 3, 2]                \n",
            "  4                  -1  2     49664  ultralytics.nn.modules.block.C2f             [64, 64, 2, True]             \n",
            "  5                  -1  1     73984  ultralytics.nn.modules.conv.Conv             [64, 128, 3, 2]               \n",
            "  6                  -1  2    197632  ultralytics.nn.modules.block.C2f             [128, 128, 2, True]           \n",
            "  7                  -1  1    295424  ultralytics.nn.modules.conv.Conv             [128, 256, 3, 2]              \n",
            "  8                  -1  1    460288  ultralytics.nn.modules.block.C2f             [256, 256, 1, True]           \n",
            "  9                  -1  1    164608  ultralytics.nn.modules.block.SPPF            [256, 256, 5]                 \n",
            " 10                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 11             [-1, 6]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 12                  -1  1    148224  ultralytics.nn.modules.block.C2f             [384, 128, 1]                 \n",
            " 13                  -1  1         0  torch.nn.modules.upsampling.Upsample         [None, 2, 'nearest']          \n",
            " 14             [-1, 4]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 15                  -1  1     37248  ultralytics.nn.modules.block.C2f             [192, 64, 1]                  \n",
            " 16                  -1  1     36992  ultralytics.nn.modules.conv.Conv             [64, 64, 3, 2]                \n",
            " 17            [-1, 12]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 18                  -1  1    123648  ultralytics.nn.modules.block.C2f             [192, 128, 1]                 \n",
            " 19                  -1  1    147712  ultralytics.nn.modules.conv.Conv             [128, 128, 3, 2]              \n",
            " 20             [-1, 9]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n",
            " 21                  -1  1    493056  ultralytics.nn.modules.block.C2f             [384, 256, 1]                 \n",
            " 22        [15, 18, 21]  1    751507  ultralytics.nn.modules.head.Detect           [1, [64, 128, 256]]           \n",
            "Model summary: 225 layers, 3011043 parameters, 3011027 gradients, 8.2 GFLOPs\n",
            "\n",
            "Transferred 319/355 items from pretrained weights\n",
            "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/detect/train', view at http://localhost:6006/\n",
            "Freezing layer 'model.22.dfl.conv.weight'\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...\n",
            "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/Ballx/train/labels... 44 images, 0 backgrounds, 0 corrupt: 100%|██████████| 44/44 [00:00<00:00, 1347.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/Ballx/train/labels.cache\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mScanning /content/Ballx/val/labels... 2 images, 0 backgrounds, 0 corrupt: 100%|██████████| 2/2 [00:00<00:00, 7958.83it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/Ballx/val/labels.cache\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Plotting labels to runs/detect/train/labels.jpg... \n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n",
            "\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.002, momentum=0.9) with parameter groups 57 weight(decay=0.0), 64 weight(decay=0.0005), 63 bias(decay=0.0)\n",
            "Image sizes 640 train, 640 val\n",
            "Using 2 dataloader workers\n",
            "Logging results to \u001b[1mruns/detect/train\u001b[0m\n",
            "Starting training for 50 epochs...\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       1/50      2.27G      1.093          3      1.321         17        640: 100%|██████████| 3/3 [00:03<00:00,  1.25s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:02<00:00,  2.24s/it]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2    0.00333          1      0.251        0.2\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       2/50      2.23G       1.04      2.938      1.344         19        640: 100%|██████████| 3/3 [00:00<00:00,  4.10it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2    0.00333          1      0.255        0.2\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       3/50      2.25G      1.017      2.744      1.321         23        640: 100%|██████████| 3/3 [00:00<00:00,  4.58it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.41it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2    0.00333          1      0.662      0.546\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       4/50      2.26G      0.855      2.127      1.289         17        640: 100%|██████████| 3/3 [00:00<00:00,  4.61it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.31it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.592      0.776      0.828      0.728\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       5/50      2.26G     0.6915      1.376      1.086         20        640: 100%|██████████| 3/3 [00:00<00:00,  4.17it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 18.28it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2          1        0.8      0.995      0.895\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       6/50      2.26G     0.7302      1.202      1.092         26        640: 100%|██████████| 3/3 [00:00<00:00,  4.85it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.61it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.978          1      0.995      0.846\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       7/50      2.26G     0.7674        1.2      1.066         31        640: 100%|██████████| 3/3 [00:00<00:00,  4.67it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.36it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.754          1      0.995      0.771\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       8/50      2.26G     0.6913      1.193      1.099         19        640: 100%|██████████| 3/3 [00:00<00:00,  5.33it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.25it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.971          1      0.995      0.845\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "       9/50      2.26G     0.6786      1.172      1.059         22        640: 100%|██████████| 3/3 [00:00<00:00,  4.69it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.12it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.953          1      0.995      0.895\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      10/50      2.26G     0.6921      1.081      1.091         23        640: 100%|██████████| 3/3 [00:00<00:00,  3.49it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  6.56it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.941          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      11/50      2.26G      0.701       1.05      1.092         21        640: 100%|██████████| 3/3 [00:00<00:00,  3.34it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  7.06it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.973          1      0.995      0.846\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      12/50      2.26G     0.7307      1.115      1.126         20        640: 100%|██████████| 3/3 [00:00<00:00,  4.84it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  9.43it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.962          1      0.995       0.92\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      13/50      2.26G     0.7621     0.9946      1.114         27        640: 100%|██████████| 3/3 [00:00<00:00,  4.59it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.07it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.965          1      0.995      0.846\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      14/50      2.27G     0.7287     0.9255       1.06         27        640: 100%|██████████| 3/3 [00:00<00:00,  5.30it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.51it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2       0.97          1      0.995      0.821\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      15/50      2.26G     0.8499      1.032      1.161         25        640: 100%|██████████| 3/3 [00:00<00:00,  4.46it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.72it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.924          1      0.995      0.821\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      16/50      2.26G     0.7225     0.9894      1.092         24        640: 100%|██████████| 3/3 [00:00<00:00,  5.59it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.06it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.946          1      0.995      0.895\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      17/50      2.26G     0.6991     0.9193      1.074         31        640: 100%|██████████| 3/3 [00:00<00:00,  4.85it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.54it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.954          1      0.995       0.92\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      18/50      2.27G     0.6901     0.9214      1.052         27        640: 100%|██████████| 3/3 [00:00<00:00,  4.70it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.21it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.939          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      19/50      2.26G     0.8019      1.052      1.115         23        640: 100%|██████████| 3/3 [00:00<00:00,  5.24it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  9.82it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.964          1      0.995       0.92\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      20/50      2.26G     0.6664     0.9337      1.046         24        640: 100%|██████████| 3/3 [00:00<00:00,  3.50it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.17it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.978          1      0.995      0.895\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      21/50      2.27G      0.703     0.9614      1.055         27        640: 100%|██████████| 3/3 [00:00<00:00,  3.49it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.969          1      0.995      0.895\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      22/50      2.26G     0.6695     0.9092      1.074         23        640: 100%|██████████| 3/3 [00:00<00:00,  3.30it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.08it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.962          1      0.995      0.895\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      23/50      2.27G     0.7019     0.9664      1.124         24        640: 100%|██████████| 3/3 [00:00<00:00,  4.54it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  9.35it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2          1      0.998      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      24/50      2.27G     0.7276     0.9661      1.119         24        640: 100%|██████████| 3/3 [00:00<00:00,  5.06it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  9.13it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2          1       0.99      0.995      0.895\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      25/50      2.26G     0.7468      1.049       1.07         24        640: 100%|██████████| 3/3 [00:00<00:00,  4.96it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.23it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2          1      0.997      0.995       0.92\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      26/50      2.27G     0.6764     0.8888      1.039         30        640: 100%|██████████| 3/3 [00:00<00:00,  5.54it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.59it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.983          1      0.995      0.846\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      27/50      2.27G      0.599     0.8378      1.008         22        640: 100%|██████████| 3/3 [00:00<00:00,  5.12it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.50it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.973          1      0.995      0.895\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      28/50      2.26G     0.5958     0.8127      1.004         32        640: 100%|██████████| 3/3 [00:00<00:00,  5.14it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 20.10it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.979          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      29/50      2.26G     0.5923     0.7674      1.028         23        640: 100%|██████████| 3/3 [00:00<00:00,  5.94it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  6.71it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.979          1      0.995      0.945\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      30/50      2.26G     0.6941      0.795       1.05         30        640: 100%|██████████| 3/3 [00:00<00:00,  5.41it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.17it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.981          1      0.995       0.92\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      31/50      2.27G       0.65      0.795      1.017         27        640: 100%|██████████| 3/3 [00:00<00:00,  4.19it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  9.03it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.983          1      0.995      0.846\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      32/50      2.26G     0.6565       0.81      1.013         20        640: 100%|██████████| 3/3 [00:00<00:00,  3.76it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  6.22it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.983          1      0.995      0.846\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      33/50      2.26G     0.6099      0.801     0.9937         19        640: 100%|██████████| 3/3 [00:00<00:00,  3.80it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  5.09it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.983          1      0.995      0.846\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      34/50      2.26G     0.6623     0.8058      1.025         22        640: 100%|██████████| 3/3 [00:00<00:00,  4.86it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  7.72it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.981          1      0.995      0.821\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      35/50      2.27G     0.7212     0.8434      1.078         24        640: 100%|██████████| 3/3 [00:00<00:00,  4.93it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 21.37it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.982          1      0.995      0.796\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      36/50      2.26G     0.7306     0.8109      1.066         27        640: 100%|██████████| 3/3 [00:00<00:00,  5.29it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.93it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.982          1      0.995      0.796\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      37/50      2.26G     0.6737     0.9174      1.086         16        640: 100%|██████████| 3/3 [00:00<00:00,  5.57it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.50it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.982          1      0.995      0.796\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      38/50      2.26G     0.6292     0.7352      1.037         26        640: 100%|██████████| 3/3 [00:00<00:00,  5.51it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  7.77it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.982          1      0.995      0.845\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      39/50      2.27G     0.6854     0.8234      1.055         21        640: 100%|██████████| 3/3 [00:00<00:00,  5.25it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.72it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.983          1      0.995      0.845\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      40/50      2.26G     0.6255     0.7606      1.031         22        640: 100%|██████████| 3/3 [00:00<00:00,  5.21it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  9.41it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.983          1      0.995      0.845\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Closing dataloader mosaic\n",
            "\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      41/50      2.27G     0.5144      1.004     0.9624         12        640: 100%|██████████| 3/3 [00:03<00:00,  1.03s/it]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  3.21it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.983          1      0.995      0.845\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      42/50      2.26G     0.5631      1.059      1.002         13        640: 100%|██████████| 3/3 [00:00<00:00,  3.17it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  5.21it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.984          1      0.995      0.895\n",
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      43/50      2.27G     0.6027      1.061      1.092         13        640: 100%|██████████| 3/3 [00:00<00:00,  4.57it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  7.86it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.984          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      44/50      2.26G     0.5917      1.064      1.056         12        640: 100%|██████████| 3/3 [00:00<00:00,  5.53it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00,  8.99it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.985          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      45/50      2.26G     0.5088     0.9568     0.9756         12        640: 100%|██████████| 3/3 [00:00<00:00,  5.29it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 12.70it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.985          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      46/50      2.27G     0.5731      1.019      1.033         13        640: 100%|██████████| 3/3 [00:00<00:00,  5.78it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 10.20it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.986          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      47/50      2.27G     0.4825     0.9836      0.976         13        640: 100%|██████████| 3/3 [00:00<00:00,  5.36it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.16it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.988          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      48/50      2.26G     0.4678     0.9333     0.8901         12        640: 100%|██████████| 3/3 [00:00<00:00,  5.32it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 11.68it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.986          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      49/50      2.27G     0.4922     0.9933     0.9788         13        640: 100%|██████████| 3/3 [00:00<00:00,  5.28it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 15.94it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.986          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "      50/50      2.27G     0.4742     0.9511     0.9332         12        640: 100%|██████████| 3/3 [00:00<00:00,  5.58it/s]\n",
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 16.96it/s]"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.985          1      0.995      0.945\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "50 epochs completed in 0.023 hours.\n",
            "Optimizer stripped from runs/detect/train/weights/last.pt, 6.3MB\n",
            "Optimizer stripped from runs/detect/train/weights/best.pt, 6.3MB\n",
            "\n",
            "Validating runs/detect/train/weights/best.pt...\n",
            "Ultralytics YOLOv8.0.221 🚀 Python-3.10.12 torch-2.1.0+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
            "Model summary (fused): 168 layers, 3005843 parameters, 0 gradients, 8.1 GFLOPs\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 1/1 [00:00<00:00, 13.83it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                   all          2          2      0.985          1      0.995      0.945\n",
            "Speed: 0.3ms preprocess, 14.3ms inference, 0.0ms loss, 1.8ms postprocess per image\n",
            "Results saved to \u001b[1mruns/detect/train\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ultralytics.utils.metrics.DetMetrics object with attributes:\n",
              "\n",
              "ap_class_index: array([0])\n",
              "box: ultralytics.utils.metrics.Metric object\n",
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              "curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']\n",
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              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           0]]), 'Recall', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[  0.0066445,   0.0066445,   0.0066445,    0.011711,    0.012406,    0.013391,    0.015508,    0.020084,    0.033921,    0.078925,     0.18802,      0.3214,     0.62243,       0.742,     0.80008,     0.80043,     0.80078,     0.80113,     0.80148,     0.80183,     0.80218,     0.80253,     0.80288,\n",
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              "            0.88565,     0.88596,     0.88626,     0.88656,     0.88686,     0.88717,     0.88747,     0.88777,     0.88807,     0.88838,     0.88868,     0.88898,     0.88928,     0.88958,     0.88988,     0.89018,     0.89048,     0.89079,     0.89109,     0.89139,     0.89169,     0.89199,     0.89229,\n",
              "            0.89259,     0.89289,     0.89318,     0.89348,     0.89378,     0.89408,     0.89438,     0.89468,     0.89498,     0.89528,     0.89557,     0.89587,     0.89617,     0.89647,     0.89676,     0.89706,     0.89736,     0.89766,     0.89795,     0.89825,     0.89854,     0.89884,     0.89914,\n",
              "            0.89943,     0.89973,     0.90002,     0.90032,     0.90062,     0.90091,     0.90121,      0.9015,      0.9018,     0.90209,     0.90238,     0.90268,     0.90297,     0.90327,     0.90356,     0.90385,     0.90415,     0.90444,     0.90473,     0.90503,     0.90532,     0.90561,      0.9059,\n",
              "             0.9062,     0.90649,     0.90678,     0.90707,     0.90736,     0.90766,     0.90795,     0.90824,     0.90853,     0.90882,     0.90911,      0.9094,     0.90969,     0.90998,     0.91027,     0.91056,     0.91085,     0.91114,     0.91143,     0.91172,     0.91201,      0.9123,     0.91259,\n",
              "            0.91288,     0.91317,     0.91345,     0.91374,     0.91403,     0.91432,     0.91461,     0.91489,     0.91518,     0.91547,     0.91576,     0.91604,     0.91633,     0.91662,      0.9169,     0.91719,     0.91748,     0.91776,     0.91805,     0.91833,     0.91862,     0.91891,     0.91919,\n",
              "            0.91948,     0.91976,     0.92005,     0.92033,     0.92062,      0.9209,     0.92119,     0.92147,     0.92175,     0.92204,     0.92232,      0.9226,     0.92289,     0.92317,     0.92345,     0.92374,     0.92402,      0.9243,     0.92459,     0.92487,     0.92515,     0.92543,     0.92571,\n",
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              "            0.93244,     0.93272,     0.93299,     0.93327,     0.93355,     0.93383,     0.93411,     0.93438,     0.93466,     0.93494,     0.93521,     0.93549,     0.93577,     0.93605,     0.93632,      0.9366,     0.93687,     0.93715,     0.93743,      0.9377,     0.93798,     0.93825,     0.93853,\n",
              "             0.9388,     0.93908,     0.93935,     0.93963,      0.9399,     0.94018,     0.94045,     0.94073,       0.941,     0.94127,     0.94155,     0.94182,     0.94209,     0.94237,     0.94264,     0.94291,     0.94319,     0.94346,     0.94373,       0.944,     0.94428,     0.94455,     0.94482,\n",
              "            0.94509,     0.94536,     0.94564,     0.94591,     0.94618,     0.94645,     0.94672,     0.94699,     0.94726,     0.94753,      0.9478,     0.94807,     0.94834,     0.94861,     0.94888,     0.94915,     0.94942,     0.94969,     0.94996,     0.95023,      0.9505,     0.95077,     0.95104,\n",
              "            0.95131,     0.95158,     0.95184,     0.95211,     0.95238,     0.95265,     0.95292,     0.95318,     0.95345,     0.95372,     0.95399,     0.95425,     0.95452,     0.95479,     0.95506,     0.95532,     0.95559,     0.95585,     0.95612,     0.95639,     0.95665,     0.95692,     0.95718,\n",
              "            0.95745,     0.95772,     0.95798,     0.95825,     0.95851,     0.95878,     0.95904,     0.95931,     0.95957,     0.95983,      0.9601,     0.96036,     0.96063,     0.96089,     0.96115,     0.96142,     0.96168,     0.96194,     0.96221,     0.96247,     0.96273,       0.963,     0.96326,\n",
              "            0.96352,     0.96378,     0.96405,     0.96431,     0.96457,     0.96483,     0.96509,     0.96536,     0.96562,     0.96588,     0.96614,      0.9664,     0.96666,     0.96692,     0.96718,     0.96744,      0.9677,     0.96796,     0.96822,     0.96848,     0.96874,       0.969,     0.96926,\n",
              "            0.96952,     0.96978,     0.97004,      0.9703,     0.97056,     0.97082,     0.97108,     0.97133,     0.97159,     0.97185,     0.97211,     0.97237,     0.97263,     0.97288,     0.97314,      0.9734,     0.97366,     0.97391,     0.97417,     0.97443,     0.97468,     0.97494,      0.9752,\n",
              "            0.97545,     0.97571,     0.97597,     0.97622,     0.97648,     0.97673,     0.97699,     0.97725,      0.9775,     0.97776,     0.97801,     0.97827,     0.97852,     0.97878,     0.97903,     0.97929,     0.97954,     0.97979,     0.98005,      0.9803,     0.98056,     0.98081,     0.98106,\n",
              "            0.98132,     0.98157,     0.98182,     0.98208,     0.98233,     0.98258,     0.98284,     0.98309,     0.98334,     0.98359,     0.98385,      0.9841,     0.98435,      0.9846,     0.98485,     0.98511,     0.98536,     0.98561,     0.98586,     0.98611,     0.98636,     0.98661,     0.98686,\n",
              "            0.98711,     0.98736,     0.98762,     0.98787,     0.98812,     0.98837,     0.98862,     0.98887,     0.98912,     0.98936,     0.98961,     0.98986,     0.99011,     0.99036,     0.99061,     0.99086,     0.99111,     0.99136,     0.99161,     0.99185,      0.9921,     0.99235,      0.9926,\n",
              "            0.99285,     0.99309,     0.99334,     0.99359,     0.99384,     0.99408,     0.99433,     0.99458,     0.99482,     0.99507,     0.99532,     0.99556,     0.99581,     0.99606,      0.9963,     0.99655,     0.99679,     0.99704,     0.99729,     0.99753,     0.99778,     0.99802,     0.99827,\n",
              "            0.99851,     0.99876,       0.999,     0.99925,     0.99949,     0.99974,     0.99998,     0.99906,     0.99804,     0.99702,       0.996,     0.99497,     0.99394,     0.99291,     0.99188,     0.99085,     0.98981,     0.98877,     0.98773,     0.98669,     0.98564,     0.98459,     0.98355,\n",
              "            0.98249,     0.98144,     0.98038,     0.97933,     0.97826,      0.9772,     0.97614,     0.97507,       0.974,     0.97293,     0.97186,     0.97078,      0.9697,     0.96862,     0.96754,     0.96645,     0.96537,     0.96428,     0.96318,     0.96209,     0.96099,     0.95989,     0.95879,\n",
              "            0.95769,     0.95658,     0.95547,     0.95436,     0.95325,     0.95214,     0.95102,      0.9499,     0.94878,     0.94765,     0.94652,     0.94539,     0.94426,     0.94313,     0.94199,     0.94085,     0.93971,     0.93856,     0.93742,     0.93627,     0.93511,     0.93396,      0.9328,\n",
              "            0.93164,     0.93048,     0.92932,     0.92815,     0.92698,     0.92581,     0.92463,     0.92346,     0.92228,      0.9211,     0.91991,     0.91872,     0.91753,     0.91634,     0.91514,     0.91395,     0.91275,     0.91154,     0.91034,     0.90913,     0.90792,      0.9067,     0.90548,\n",
              "            0.90426,     0.90304,     0.90182,     0.90059,     0.89936,     0.89813,     0.89689,     0.89565,     0.89441,     0.89317,     0.89192,     0.89067,     0.88942,     0.88816,      0.8869,     0.88564,     0.88438,     0.88311,     0.88184,     0.88057,     0.87929,     0.87801,     0.87673,\n",
              "            0.87545,     0.87416,     0.87287,     0.87157,     0.87028,     0.86898,     0.86768,     0.86637,     0.86506,     0.86375,     0.86244,     0.86112,      0.8598,     0.85848,     0.85715,     0.85582,     0.85449,     0.85315,     0.85181,     0.85047,     0.84912,     0.84778,     0.84642,\n",
              "            0.84507,     0.84371,     0.84235,     0.84099,     0.83962,     0.83825,     0.83687,      0.8355,     0.83411,     0.83273,     0.83134,     0.82995,     0.82856,     0.82716,     0.82576,     0.82436,     0.82295,     0.82154,     0.82013,     0.81871,     0.81729,     0.81586,     0.81444,\n",
              "            0.81301,     0.81157,     0.81013,     0.80869,     0.80725,      0.8058,     0.80435,     0.80289,     0.80143,     0.79997,      0.7985,     0.79703,     0.79556,     0.79408,      0.7926,     0.79112,     0.78963,     0.78814,     0.78664,     0.78514,     0.78364,     0.78214,     0.78063,\n",
              "            0.77911,     0.77759,     0.77607,     0.77455,     0.77302,     0.77149,     0.76995,     0.76841,     0.76686,     0.76532,     0.76376,     0.76221,     0.76065,     0.75908,     0.75752,     0.75594,     0.75437,     0.75279,      0.7512,     0.74962,     0.74802,     0.74643,     0.74483,\n",
              "            0.74322,     0.74162,        0.74,     0.73839,     0.73677,     0.73514,     0.73351,     0.73188,     0.73024,      0.7286,     0.72695,      0.7253,     0.72365,     0.72199,     0.72033,     0.71866,     0.71699,     0.71531,     0.71363,     0.71195,     0.71026,     0.70856,     0.70687,\n",
              "            0.70516,     0.70346,     0.70175,     0.70003,     0.69831,     0.69658,     0.69485,     0.69312,     0.69138,     0.68964,     0.68789,     0.68613,     0.68438,     0.68261,     0.68085,     0.67907,      0.6773,     0.67552,     0.67373,     0.67194,     0.67014,     0.66834,           0,\n",
              "                  0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,\n",
              "                  0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,\n",
              "                  0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0]]), 'Confidence', 'F1'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[  0.0033333,   0.0033333,   0.0033333,   0.0058902,    0.006242,   0.0067405,   0.0078147,    0.010144,    0.017253,    0.041084,     0.10377,     0.19147,     0.45183,     0.58982,     0.66677,     0.66726,     0.66775,     0.66824,     0.66873,     0.66922,     0.66971,     0.67019,     0.67068,\n",
              "            0.67117,     0.67166,     0.67215,     0.67264,     0.67313,     0.67361,      0.6741,     0.67459,     0.67508,     0.67557,     0.67606,     0.67654,     0.67703,     0.67752,     0.67801,      0.6785,     0.67899,     0.67948,     0.67996,     0.68045,     0.68094,     0.68143,     0.68192,\n",
              "            0.68241,      0.6829,     0.68338,     0.68387,     0.68436,     0.68485,     0.68534,     0.68583,     0.68632,      0.6868,     0.68729,     0.68778,     0.68827,     0.68876,     0.68925,     0.68974,     0.69022,     0.69071,      0.6912,     0.69169,     0.69218,     0.69267,     0.69316,\n",
              "            0.69364,     0.69413,     0.69462,     0.69511,      0.6956,     0.69609,     0.69658,     0.69706,     0.69755,     0.69804,     0.69853,     0.69902,     0.69951,         0.7,     0.70048,     0.70097,     0.70146,     0.70195,     0.70244,     0.70293,     0.70341,      0.7039,     0.70439,\n",
              "            0.70488,     0.70537,     0.70586,     0.70635,     0.70683,     0.70732,     0.70781,      0.7083,     0.70879,     0.70928,     0.70977,     0.71025,     0.71074,     0.71123,     0.71172,     0.71221,      0.7127,     0.71319,     0.71367,     0.71416,     0.71465,     0.71514,     0.71563,\n",
              "            0.71612,     0.71661,     0.71709,     0.71758,     0.71807,     0.71856,     0.71905,     0.71954,     0.72003,     0.72051,       0.721,     0.72149,     0.72198,     0.72247,     0.72296,     0.72345,     0.72393,     0.72442,     0.72491,      0.7254,     0.72589,     0.72638,     0.72686,\n",
              "            0.72735,     0.72784,     0.72833,     0.72882,     0.72931,      0.7298,     0.73028,     0.73077,     0.73126,     0.73175,     0.73224,     0.73273,     0.73322,      0.7337,     0.73419,     0.73468,     0.73517,     0.73566,     0.73615,     0.73664,     0.73712,     0.73761,      0.7381,\n",
              "            0.73859,     0.73908,     0.73957,     0.74006,     0.74054,     0.74103,     0.74152,     0.74201,      0.7425,     0.74299,     0.74348,     0.74396,     0.74445,     0.74494,     0.74543,     0.74592,     0.74641,      0.7469,     0.74738,     0.74787,     0.74836,     0.74885,     0.74934,\n",
              "            0.74983,     0.75031,      0.7508,     0.75129,     0.75178,     0.75227,     0.75276,     0.75325,     0.75373,     0.75422,     0.75471,      0.7552,     0.75569,     0.75618,     0.75667,     0.75715,     0.75764,     0.75813,     0.75862,     0.75911,      0.7596,     0.76009,     0.76057,\n",
              "            0.76106,     0.76155,     0.76204,     0.76253,     0.76302,     0.76351,     0.76399,     0.76448,     0.76497,     0.76546,     0.76595,     0.76644,     0.76693,     0.76741,      0.7679,     0.76839,     0.76888,     0.76937,     0.76986,     0.77035,     0.77083,     0.77132,     0.77181,\n",
              "             0.7723,     0.77279,     0.77328,     0.77377,     0.77425,     0.77474,     0.77523,     0.77572,     0.77621,      0.7767,     0.77718,     0.77767,     0.77816,     0.77865,     0.77914,     0.77963,     0.78012,      0.7806,     0.78109,     0.78158,     0.78207,     0.78256,     0.78305,\n",
              "            0.78354,     0.78402,     0.78451,       0.785,     0.78549,     0.78598,     0.78647,     0.78696,     0.78744,     0.78793,     0.78842,     0.78891,      0.7894,     0.78989,     0.79038,     0.79086,     0.79135,     0.79184,     0.79233,     0.79282,     0.79331,      0.7938,     0.79428,\n",
              "            0.79477,     0.79526,     0.79575,     0.79624,     0.79673,     0.79722,      0.7977,     0.79819,     0.79868,     0.79917,     0.79966,     0.80015,     0.80063,     0.80112,     0.80161,      0.8021,     0.80259,     0.80308,     0.80357,     0.80405,     0.80454,     0.80503,     0.80552,\n",
              "            0.80601,      0.8065,     0.80699,     0.80747,     0.80796,     0.80845,     0.80894,     0.80943,     0.80992,     0.81041,     0.81089,     0.81138,     0.81187,     0.81236,     0.81285,     0.81334,     0.81383,     0.81431,      0.8148,     0.81529,     0.81578,     0.81627,     0.81676,\n",
              "            0.81725,     0.81773,     0.81822,     0.81871,      0.8192,     0.81969,     0.82018,     0.82067,     0.82115,     0.82164,     0.82213,     0.82262,     0.82311,      0.8236,     0.82409,     0.82457,     0.82506,     0.82555,     0.82604,     0.82653,     0.82702,      0.8275,     0.82799,\n",
              "            0.82848,     0.82897,     0.82946,     0.82995,     0.83044,     0.83092,     0.83141,      0.8319,     0.83239,     0.83288,     0.83337,     0.83386,     0.83434,     0.83483,     0.83532,     0.83581,      0.8363,     0.83679,     0.83728,     0.83776,     0.83825,     0.83874,     0.83923,\n",
              "            0.83972,     0.84021,      0.8407,     0.84118,     0.84167,     0.84216,     0.84265,     0.84314,     0.84363,     0.84412,      0.8446,     0.84509,     0.84558,     0.84607,     0.84656,     0.84705,     0.84754,     0.84802,     0.84851,       0.849,     0.84949,     0.84998,     0.85047,\n",
              "            0.85095,     0.85144,     0.85193,     0.85242,     0.85291,      0.8534,     0.85389,     0.85437,     0.85486,     0.85535,     0.85584,     0.85633,     0.85682,     0.85731,     0.85779,     0.85828,     0.85877,     0.85926,     0.85975,     0.86024,     0.86073,     0.86121,      0.8617,\n",
              "            0.86219,     0.86268,     0.86317,     0.86366,     0.86415,     0.86463,     0.86512,     0.86561,      0.8661,     0.86659,     0.86708,     0.86757,     0.86805,     0.86854,     0.86903,     0.86952,     0.87001,      0.8705,     0.87099,     0.87147,     0.87196,     0.87245,     0.87294,\n",
              "            0.87343,     0.87392,      0.8744,     0.87489,     0.87538,     0.87587,     0.87636,     0.87685,     0.87734,     0.87782,     0.87831,      0.8788,     0.87929,     0.87978,     0.88027,     0.88076,     0.88124,     0.88173,     0.88222,     0.88271,      0.8832,     0.88369,     0.88418,\n",
              "            0.88466,     0.88515,     0.88564,     0.88613,     0.88662,     0.88711,      0.8876,     0.88808,     0.88857,     0.88906,     0.88955,     0.89004,     0.89053,     0.89102,      0.8915,     0.89199,     0.89248,     0.89297,     0.89346,     0.89395,     0.89444,     0.89492,     0.89541,\n",
              "             0.8959,     0.89639,     0.89688,     0.89737,     0.89786,     0.89834,     0.89883,     0.89932,     0.89981,      0.9003,     0.90079,     0.90127,     0.90176,     0.90225,     0.90274,     0.90323,     0.90372,     0.90421,     0.90469,     0.90518,     0.90567,     0.90616,     0.90665,\n",
              "            0.90714,     0.90763,     0.90811,      0.9086,     0.90909,     0.90958,     0.91007,     0.91056,     0.91105,     0.91153,     0.91202,     0.91251,       0.913,     0.91349,     0.91398,     0.91447,     0.91495,     0.91544,     0.91593,     0.91642,     0.91691,      0.9174,     0.91789,\n",
              "            0.91837,     0.91886,     0.91935,     0.91984,     0.92033,     0.92082,     0.92131,     0.92179,     0.92228,     0.92277,     0.92326,     0.92375,     0.92424,     0.92472,     0.92521,      0.9257,     0.92619,     0.92668,     0.92717,     0.92766,     0.92814,     0.92863,     0.92912,\n",
              "            0.92961,      0.9301,     0.93059,     0.93108,     0.93156,     0.93205,     0.93254,     0.93303,     0.93352,     0.93401,      0.9345,     0.93498,     0.93547,     0.93596,     0.93645,     0.93694,     0.93743,     0.93792,      0.9384,     0.93889,     0.93938,     0.93987,     0.94036,\n",
              "            0.94085,     0.94134,     0.94182,     0.94231,      0.9428,     0.94329,     0.94378,     0.94427,     0.94476,     0.94524,     0.94573,     0.94622,     0.94671,      0.9472,     0.94769,     0.94818,     0.94866,     0.94915,     0.94964,     0.95013,     0.95062,     0.95111,     0.95159,\n",
              "            0.95208,     0.95257,     0.95306,     0.95355,     0.95404,     0.95453,     0.95501,      0.9555,     0.95599,     0.95648,     0.95697,     0.95746,     0.95795,     0.95843,     0.95892,     0.95941,      0.9599,     0.96039,     0.96088,     0.96137,     0.96185,     0.96234,     0.96283,\n",
              "            0.96332,     0.96381,      0.9643,     0.96479,     0.96527,     0.96576,     0.96625,     0.96674,     0.96723,     0.96772,     0.96821,     0.96869,     0.96918,     0.96967,     0.97016,     0.97065,     0.97114,     0.97163,     0.97211,      0.9726,     0.97309,     0.97358,     0.97407,\n",
              "            0.97456,     0.97504,     0.97553,     0.97602,     0.97651,       0.977,     0.97749,     0.97798,     0.97846,     0.97895,     0.97944,     0.97993,     0.98042,     0.98091,      0.9814,     0.98188,     0.98237,     0.98286,     0.98335,     0.98384,     0.98433,     0.98482,      0.9853,\n",
              "            0.98579,     0.98628,     0.98677,     0.98726,     0.98775,     0.98824,     0.98872,     0.98921,      0.9897,     0.99019,     0.99068,     0.99117,     0.99166,     0.99214,     0.99263,     0.99312,     0.99361,      0.9941,     0.99459,     0.99508,     0.99556,     0.99605,     0.99654,\n",
              "            0.99703,     0.99752,     0.99801,      0.9985,     0.99898,     0.99947,     0.99996,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1]]), 'Confidence', 'Precision'], [array([          0,    0.001001,    0.002002,    0.003003,    0.004004,    0.005005,    0.006006,    0.007007,    0.008008,    0.009009,     0.01001,    0.011011,    0.012012,    0.013013,    0.014014,    0.015015,    0.016016,    0.017017,    0.018018,    0.019019,     0.02002,    0.021021,    0.022022,    0.023023,\n",
              "          0.024024,    0.025025,    0.026026,    0.027027,    0.028028,    0.029029,     0.03003,    0.031031,    0.032032,    0.033033,    0.034034,    0.035035,    0.036036,    0.037037,    0.038038,    0.039039,     0.04004,    0.041041,    0.042042,    0.043043,    0.044044,    0.045045,    0.046046,    0.047047,\n",
              "          0.048048,    0.049049,     0.05005,    0.051051,    0.052052,    0.053053,    0.054054,    0.055055,    0.056056,    0.057057,    0.058058,    0.059059,     0.06006,    0.061061,    0.062062,    0.063063,    0.064064,    0.065065,    0.066066,    0.067067,    0.068068,    0.069069,     0.07007,    0.071071,\n",
              "          0.072072,    0.073073,    0.074074,    0.075075,    0.076076,    0.077077,    0.078078,    0.079079,     0.08008,    0.081081,    0.082082,    0.083083,    0.084084,    0.085085,    0.086086,    0.087087,    0.088088,    0.089089,     0.09009,    0.091091,    0.092092,    0.093093,    0.094094,    0.095095,\n",
              "          0.096096,    0.097097,    0.098098,    0.099099,      0.1001,      0.1011,      0.1021,      0.1031,      0.1041,     0.10511,     0.10611,     0.10711,     0.10811,     0.10911,     0.11011,     0.11111,     0.11211,     0.11311,     0.11411,     0.11512,     0.11612,     0.11712,     0.11812,     0.11912,\n",
              "           0.12012,     0.12112,     0.12212,     0.12312,     0.12412,     0.12513,     0.12613,     0.12713,     0.12813,     0.12913,     0.13013,     0.13113,     0.13213,     0.13313,     0.13413,     0.13514,     0.13614,     0.13714,     0.13814,     0.13914,     0.14014,     0.14114,     0.14214,     0.14314,\n",
              "           0.14414,     0.14515,     0.14615,     0.14715,     0.14815,     0.14915,     0.15015,     0.15115,     0.15215,     0.15315,     0.15415,     0.15516,     0.15616,     0.15716,     0.15816,     0.15916,     0.16016,     0.16116,     0.16216,     0.16316,     0.16416,     0.16517,     0.16617,     0.16717,\n",
              "           0.16817,     0.16917,     0.17017,     0.17117,     0.17217,     0.17317,     0.17417,     0.17518,     0.17618,     0.17718,     0.17818,     0.17918,     0.18018,     0.18118,     0.18218,     0.18318,     0.18418,     0.18519,     0.18619,     0.18719,     0.18819,     0.18919,     0.19019,     0.19119,\n",
              "           0.19219,     0.19319,     0.19419,      0.1952,      0.1962,      0.1972,      0.1982,      0.1992,      0.2002,      0.2012,      0.2022,      0.2032,      0.2042,     0.20521,     0.20621,     0.20721,     0.20821,     0.20921,     0.21021,     0.21121,     0.21221,     0.21321,     0.21421,     0.21522,\n",
              "           0.21622,     0.21722,     0.21822,     0.21922,     0.22022,     0.22122,     0.22222,     0.22322,     0.22422,     0.22523,     0.22623,     0.22723,     0.22823,     0.22923,     0.23023,     0.23123,     0.23223,     0.23323,     0.23423,     0.23524,     0.23624,     0.23724,     0.23824,     0.23924,\n",
              "           0.24024,     0.24124,     0.24224,     0.24324,     0.24424,     0.24525,     0.24625,     0.24725,     0.24825,     0.24925,     0.25025,     0.25125,     0.25225,     0.25325,     0.25425,     0.25526,     0.25626,     0.25726,     0.25826,     0.25926,     0.26026,     0.26126,     0.26226,     0.26326,\n",
              "           0.26426,     0.26527,     0.26627,     0.26727,     0.26827,     0.26927,     0.27027,     0.27127,     0.27227,     0.27327,     0.27427,     0.27528,     0.27628,     0.27728,     0.27828,     0.27928,     0.28028,     0.28128,     0.28228,     0.28328,     0.28428,     0.28529,     0.28629,     0.28729,\n",
              "           0.28829,     0.28929,     0.29029,     0.29129,     0.29229,     0.29329,     0.29429,      0.2953,      0.2963,      0.2973,      0.2983,      0.2993,      0.3003,      0.3013,      0.3023,      0.3033,      0.3043,     0.30531,     0.30631,     0.30731,     0.30831,     0.30931,     0.31031,     0.31131,\n",
              "           0.31231,     0.31331,     0.31431,     0.31532,     0.31632,     0.31732,     0.31832,     0.31932,     0.32032,     0.32132,     0.32232,     0.32332,     0.32432,     0.32533,     0.32633,     0.32733,     0.32833,     0.32933,     0.33033,     0.33133,     0.33233,     0.33333,     0.33433,     0.33534,\n",
              "           0.33634,     0.33734,     0.33834,     0.33934,     0.34034,     0.34134,     0.34234,     0.34334,     0.34434,     0.34535,     0.34635,     0.34735,     0.34835,     0.34935,     0.35035,     0.35135,     0.35235,     0.35335,     0.35435,     0.35536,     0.35636,     0.35736,     0.35836,     0.35936,\n",
              "           0.36036,     0.36136,     0.36236,     0.36336,     0.36436,     0.36537,     0.36637,     0.36737,     0.36837,     0.36937,     0.37037,     0.37137,     0.37237,     0.37337,     0.37437,     0.37538,     0.37638,     0.37738,     0.37838,     0.37938,     0.38038,     0.38138,     0.38238,     0.38338,\n",
              "           0.38438,     0.38539,     0.38639,     0.38739,     0.38839,     0.38939,     0.39039,     0.39139,     0.39239,     0.39339,     0.39439,      0.3954,      0.3964,      0.3974,      0.3984,      0.3994,      0.4004,      0.4014,      0.4024,      0.4034,      0.4044,     0.40541,     0.40641,     0.40741,\n",
              "           0.40841,     0.40941,     0.41041,     0.41141,     0.41241,     0.41341,     0.41441,     0.41542,     0.41642,     0.41742,     0.41842,     0.41942,     0.42042,     0.42142,     0.42242,     0.42342,     0.42442,     0.42543,     0.42643,     0.42743,     0.42843,     0.42943,     0.43043,     0.43143,\n",
              "           0.43243,     0.43343,     0.43443,     0.43544,     0.43644,     0.43744,     0.43844,     0.43944,     0.44044,     0.44144,     0.44244,     0.44344,     0.44444,     0.44545,     0.44645,     0.44745,     0.44845,     0.44945,     0.45045,     0.45145,     0.45245,     0.45345,     0.45445,     0.45546,\n",
              "           0.45646,     0.45746,     0.45846,     0.45946,     0.46046,     0.46146,     0.46246,     0.46346,     0.46446,     0.46547,     0.46647,     0.46747,     0.46847,     0.46947,     0.47047,     0.47147,     0.47247,     0.47347,     0.47447,     0.47548,     0.47648,     0.47748,     0.47848,     0.47948,\n",
              "           0.48048,     0.48148,     0.48248,     0.48348,     0.48448,     0.48549,     0.48649,     0.48749,     0.48849,     0.48949,     0.49049,     0.49149,     0.49249,     0.49349,     0.49449,      0.4955,      0.4965,      0.4975,      0.4985,      0.4995,      0.5005,      0.5015,      0.5025,      0.5035,\n",
              "            0.5045,     0.50551,     0.50651,     0.50751,     0.50851,     0.50951,     0.51051,     0.51151,     0.51251,     0.51351,     0.51451,     0.51552,     0.51652,     0.51752,     0.51852,     0.51952,     0.52052,     0.52152,     0.52252,     0.52352,     0.52452,     0.52553,     0.52653,     0.52753,\n",
              "           0.52853,     0.52953,     0.53053,     0.53153,     0.53253,     0.53353,     0.53453,     0.53554,     0.53654,     0.53754,     0.53854,     0.53954,     0.54054,     0.54154,     0.54254,     0.54354,     0.54454,     0.54555,     0.54655,     0.54755,     0.54855,     0.54955,     0.55055,     0.55155,\n",
              "           0.55255,     0.55355,     0.55455,     0.55556,     0.55656,     0.55756,     0.55856,     0.55956,     0.56056,     0.56156,     0.56256,     0.56356,     0.56456,     0.56557,     0.56657,     0.56757,     0.56857,     0.56957,     0.57057,     0.57157,     0.57257,     0.57357,     0.57457,     0.57558,\n",
              "           0.57658,     0.57758,     0.57858,     0.57958,     0.58058,     0.58158,     0.58258,     0.58358,     0.58458,     0.58559,     0.58659,     0.58759,     0.58859,     0.58959,     0.59059,     0.59159,     0.59259,     0.59359,     0.59459,      0.5956,      0.5966,      0.5976,      0.5986,      0.5996,\n",
              "            0.6006,      0.6016,      0.6026,      0.6036,      0.6046,     0.60561,     0.60661,     0.60761,     0.60861,     0.60961,     0.61061,     0.61161,     0.61261,     0.61361,     0.61461,     0.61562,     0.61662,     0.61762,     0.61862,     0.61962,     0.62062,     0.62162,     0.62262,     0.62362,\n",
              "           0.62462,     0.62563,     0.62663,     0.62763,     0.62863,     0.62963,     0.63063,     0.63163,     0.63263,     0.63363,     0.63463,     0.63564,     0.63664,     0.63764,     0.63864,     0.63964,     0.64064,     0.64164,     0.64264,     0.64364,     0.64464,     0.64565,     0.64665,     0.64765,\n",
              "           0.64865,     0.64965,     0.65065,     0.65165,     0.65265,     0.65365,     0.65465,     0.65566,     0.65666,     0.65766,     0.65866,     0.65966,     0.66066,     0.66166,     0.66266,     0.66366,     0.66466,     0.66567,     0.66667,     0.66767,     0.66867,     0.66967,     0.67067,     0.67167,\n",
              "           0.67267,     0.67367,     0.67467,     0.67568,     0.67668,     0.67768,     0.67868,     0.67968,     0.68068,     0.68168,     0.68268,     0.68368,     0.68468,     0.68569,     0.68669,     0.68769,     0.68869,     0.68969,     0.69069,     0.69169,     0.69269,     0.69369,     0.69469,      0.6957,\n",
              "            0.6967,      0.6977,      0.6987,      0.6997,      0.7007,      0.7017,      0.7027,      0.7037,      0.7047,     0.70571,     0.70671,     0.70771,     0.70871,     0.70971,     0.71071,     0.71171,     0.71271,     0.71371,     0.71471,     0.71572,     0.71672,     0.71772,     0.71872,     0.71972,\n",
              "           0.72072,     0.72172,     0.72272,     0.72372,     0.72472,     0.72573,     0.72673,     0.72773,     0.72873,     0.72973,     0.73073,     0.73173,     0.73273,     0.73373,     0.73473,     0.73574,     0.73674,     0.73774,     0.73874,     0.73974,     0.74074,     0.74174,     0.74274,     0.74374,\n",
              "           0.74474,     0.74575,     0.74675,     0.74775,     0.74875,     0.74975,     0.75075,     0.75175,     0.75275,     0.75375,     0.75475,     0.75576,     0.75676,     0.75776,     0.75876,     0.75976,     0.76076,     0.76176,     0.76276,     0.76376,     0.76476,     0.76577,     0.76677,     0.76777,\n",
              "           0.76877,     0.76977,     0.77077,     0.77177,     0.77277,     0.77377,     0.77477,     0.77578,     0.77678,     0.77778,     0.77878,     0.77978,     0.78078,     0.78178,     0.78278,     0.78378,     0.78478,     0.78579,     0.78679,     0.78779,     0.78879,     0.78979,     0.79079,     0.79179,\n",
              "           0.79279,     0.79379,     0.79479,      0.7958,      0.7968,      0.7978,      0.7988,      0.7998,      0.8008,      0.8018,      0.8028,      0.8038,      0.8048,     0.80581,     0.80681,     0.80781,     0.80881,     0.80981,     0.81081,     0.81181,     0.81281,     0.81381,     0.81481,     0.81582,\n",
              "           0.81682,     0.81782,     0.81882,     0.81982,     0.82082,     0.82182,     0.82282,     0.82382,     0.82482,     0.82583,     0.82683,     0.82783,     0.82883,     0.82983,     0.83083,     0.83183,     0.83283,     0.83383,     0.83483,     0.83584,     0.83684,     0.83784,     0.83884,     0.83984,\n",
              "           0.84084,     0.84184,     0.84284,     0.84384,     0.84484,     0.84585,     0.84685,     0.84785,     0.84885,     0.84985,     0.85085,     0.85185,     0.85285,     0.85385,     0.85485,     0.85586,     0.85686,     0.85786,     0.85886,     0.85986,     0.86086,     0.86186,     0.86286,     0.86386,\n",
              "           0.86486,     0.86587,     0.86687,     0.86787,     0.86887,     0.86987,     0.87087,     0.87187,     0.87287,     0.87387,     0.87487,     0.87588,     0.87688,     0.87788,     0.87888,     0.87988,     0.88088,     0.88188,     0.88288,     0.88388,     0.88488,     0.88589,     0.88689,     0.88789,\n",
              "           0.88889,     0.88989,     0.89089,     0.89189,     0.89289,     0.89389,     0.89489,      0.8959,      0.8969,      0.8979,      0.8989,      0.8999,      0.9009,      0.9019,      0.9029,      0.9039,      0.9049,     0.90591,     0.90691,     0.90791,     0.90891,     0.90991,     0.91091,     0.91191,\n",
              "           0.91291,     0.91391,     0.91491,     0.91592,     0.91692,     0.91792,     0.91892,     0.91992,     0.92092,     0.92192,     0.92292,     0.92392,     0.92492,     0.92593,     0.92693,     0.92793,     0.92893,     0.92993,     0.93093,     0.93193,     0.93293,     0.93393,     0.93493,     0.93594,\n",
              "           0.93694,     0.93794,     0.93894,     0.93994,     0.94094,     0.94194,     0.94294,     0.94394,     0.94494,     0.94595,     0.94695,     0.94795,     0.94895,     0.94995,     0.95095,     0.95195,     0.95295,     0.95395,     0.95495,     0.95596,     0.95696,     0.95796,     0.95896,     0.95996,\n",
              "           0.96096,     0.96196,     0.96296,     0.96396,     0.96496,     0.96597,     0.96697,     0.96797,     0.96897,     0.96997,     0.97097,     0.97197,     0.97297,     0.97397,     0.97497,     0.97598,     0.97698,     0.97798,     0.97898,     0.97998,     0.98098,     0.98198,     0.98298,     0.98398,\n",
              "           0.98498,     0.98599,     0.98699,     0.98799,     0.98899,     0.98999,     0.99099,     0.99199,     0.99299,     0.99399,     0.99499,       0.996,       0.997,       0.998,       0.999,           1]), array([[          1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,           1,\n",
              "                  1,           1,           1,           1,           1,           1,           1,     0.99813,      0.9961,     0.99406,     0.99203,     0.98999,     0.98796,     0.98593,     0.98389,     0.98186,     0.97983,     0.97779,     0.97576,     0.97372,     0.97169,     0.96966,     0.96762,\n",
              "            0.96559,     0.96356,     0.96152,     0.95949,     0.95745,     0.95542,     0.95339,     0.95135,     0.94932,     0.94729,     0.94525,     0.94322,     0.94118,     0.93915,     0.93712,     0.93508,     0.93305,     0.93102,     0.92898,     0.92695,     0.92491,     0.92288,     0.92085,\n",
              "            0.91881,     0.91678,     0.91475,     0.91271,     0.91068,     0.90864,     0.90661,     0.90458,     0.90254,     0.90051,     0.89847,     0.89644,     0.89441,     0.89237,     0.89034,     0.88831,     0.88627,     0.88424,      0.8822,     0.88017,     0.87814,      0.8761,     0.87407,\n",
              "            0.87204,        0.87,     0.86797,     0.86593,      0.8639,     0.86187,     0.85983,      0.8578,     0.85577,     0.85373,      0.8517,     0.84966,     0.84763,      0.8456,     0.84356,     0.84153,      0.8395,     0.83746,     0.83543,     0.83339,     0.83136,     0.82933,     0.82729,\n",
              "            0.82526,     0.82323,     0.82119,     0.81916,     0.81712,     0.81509,     0.81306,     0.81102,     0.80899,     0.80695,     0.80492,     0.80289,     0.80085,     0.79882,     0.79679,     0.79475,     0.79272,     0.79068,     0.78865,     0.78662,     0.78458,     0.78255,     0.78052,\n",
              "            0.77848,     0.77645,     0.77441,     0.77238,     0.77035,     0.76831,     0.76628,     0.76425,     0.76221,     0.76018,     0.75814,     0.75611,     0.75408,     0.75204,     0.75001,     0.74798,     0.74594,     0.74391,     0.74187,     0.73984,     0.73781,     0.73577,     0.73374,\n",
              "             0.7317,     0.72967,     0.72764,      0.7256,     0.72357,     0.72154,      0.7195,     0.71747,     0.71543,      0.7134,     0.71137,     0.70933,      0.7073,     0.70527,     0.70323,      0.7012,     0.69916,     0.69713,      0.6951,     0.69306,     0.69103,       0.689,     0.68696,\n",
              "            0.68493,     0.68289,     0.68086,     0.67883,     0.67679,     0.67476,     0.67273,     0.67069,     0.66866,     0.66662,     0.66459,     0.66256,     0.66052,     0.65849,     0.65646,     0.65442,     0.65239,     0.65035,     0.64832,     0.64629,     0.64425,     0.64222,     0.64018,\n",
              "            0.63815,     0.63612,     0.63408,     0.63205,     0.63002,     0.62798,     0.62595,     0.62391,     0.62188,     0.61985,     0.61781,     0.61578,     0.61375,     0.61171,     0.60968,     0.60764,     0.60561,     0.60358,     0.60154,     0.59951,     0.59748,     0.59544,     0.59341,\n",
              "            0.59137,     0.58934,     0.58731,     0.58527,     0.58324,     0.58121,     0.57917,     0.57714,      0.5751,     0.57307,     0.57104,       0.569,     0.56697,     0.56493,      0.5629,     0.56087,     0.55883,      0.5568,     0.55477,     0.55273,      0.5507,     0.54866,     0.54663,\n",
              "             0.5446,     0.54256,     0.54053,      0.5385,     0.53646,     0.53443,     0.53239,     0.53036,     0.52833,     0.52629,     0.52426,     0.52223,     0.52019,     0.51816,     0.51612,     0.51409,     0.51206,     0.51002,     0.50799,     0.50596,     0.50392,     0.50189,           0,\n",
              "                  0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,\n",
              "                  0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0,\n",
              "                  0,           0,           0,           0,           0,           0,           0,           0,           0,           0,           0]]), 'Confidence', 'Recall']]\n",
              "fitness: 0.95003825\n",
              "keys: ['metrics/precision(B)', 'metrics/recall(B)', 'metrics/mAP50(B)', 'metrics/mAP50-95(B)']\n",
              "maps: array([    0.94504])\n",
              "names: {0: 'class_0'}\n",
              "plot: True\n",
              "results_dict: {'metrics/precision(B)': 0.9848157958375414, 'metrics/recall(B)': 1.0, 'metrics/mAP50(B)': 0.995, 'metrics/mAP50-95(B)': 0.9450424999999999, 'fitness': 0.95003825}\n",
              "save_dir: PosixPath('runs/detect/train')\n",
              "speed: {'preprocess': 0.3376007080078125, 'inference': 14.258742332458496, 'loss': 0.009655952453613281, 'postprocess': 1.7542839050292969}\n",
              "task: 'detect'"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from ultralytics import YOLO\n",
        "\n",
        "# Load a pretrained YOLOv8n model\n",
        "model = YOLO('/content/runs/detect/train/weights/best.pt')\n",
        "\n",
        "# Run inference on 'bus.jpg' with arguments\n",
        "model.predict(['C1.jpg','C2.jpg'], save=True, imgsz=320, conf=0.5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BBKrk5mj6nCJ",
        "outputId": "f4385536-df2f-461d-9b37-c76dfd46ffff"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "0: 320x320 (no detections), 1: 320x320 1 class_0, 14.0ms\n",
            "Speed: 1.1ms preprocess, 7.0ms inference, 1.9ms postprocess per image at shape (1, 3, 320, 320)\n",
            "Results saved to \u001b[1mruns/detect/predict2\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[ultralytics.engine.results.Results object with attributes:\n",
              " \n",
              " boxes: ultralytics.engine.results.Boxes object\n",
              " keypoints: None\n",
              " masks: None\n",
              " names: {0: 'class_0'}\n",
              " orig_img: array([[[136, 152, 175],\n",
              "         [135, 151, 174],\n",
              "         [135, 151, 174],\n",
              "         ...,\n",
              "         [134, 141, 161],\n",
              "         [134, 141, 161],\n",
              "         [133, 140, 160]],\n",
              " \n",
              "        [[136, 152, 175],\n",
              "         [135, 151, 174],\n",
              "         [135, 151, 174],\n",
              "         ...,\n",
              "         [134, 141, 161],\n",
              "         [134, 141, 161],\n",
              "         [133, 140, 160]],\n",
              " \n",
              "        [[138, 154, 177],\n",
              "         [136, 152, 175],\n",
              "         [136, 152, 175],\n",
              "         ...,\n",
              "         [134, 141, 161],\n",
              "         [134, 141, 161],\n",
              "         [133, 140, 160]],\n",
              " \n",
              "        ...,\n",
              " \n",
              "        [[ 21,  30,  27],\n",
              "         [ 19,  28,  25],\n",
              "         [ 18,  27,  24],\n",
              "         ...,\n",
              "         [ 53,  85,  90],\n",
              "         [ 54,  86,  91],\n",
              "         [ 54,  86,  91]],\n",
              " \n",
              "        [[ 20,  29,  26],\n",
              "         [ 18,  27,  24],\n",
              "         [ 17,  26,  23],\n",
              "         ...,\n",
              "         [ 53,  85,  90],\n",
              "         [ 54,  86,  91],\n",
              "         [ 54,  86,  91]],\n",
              " \n",
              "        [[ 18,  27,  24],\n",
              "         [ 17,  26,  23],\n",
              "         [ 17,  26,  23],\n",
              "         ...,\n",
              "         [ 53,  85,  90],\n",
              "         [ 54,  86,  91],\n",
              "         [ 54,  86,  91]]], dtype=uint8)\n",
              " orig_shape: (900, 1600)\n",
              " path: 'C1.jpg'\n",
              " probs: None\n",
              " save_dir: 'runs/detect/predict2'\n",
              " speed: {'preprocess': 1.107335090637207, 'inference': 6.999373435974121, 'postprocess': 1.898050308227539},\n",
              " ultralytics.engine.results.Results object with attributes:\n",
              " \n",
              " boxes: ultralytics.engine.results.Boxes object\n",
              " keypoints: None\n",
              " masks: None\n",
              " names: {0: 'class_0'}\n",
              " orig_img: array([[[195, 197, 198],\n",
              "         [193, 195, 196],\n",
              "         [192, 194, 195],\n",
              "         ...,\n",
              "         [182, 183, 187],\n",
              "         [182, 183, 187],\n",
              "         [181, 182, 186]],\n",
              " \n",
              "        [[194, 196, 197],\n",
              "         [192, 194, 195],\n",
              "         [191, 193, 194],\n",
              "         ...,\n",
              "         [181, 182, 186],\n",
              "         [181, 182, 186],\n",
              "         [181, 182, 186]],\n",
              " \n",
              "        [[192, 194, 195],\n",
              "         [191, 193, 194],\n",
              "         [190, 192, 193],\n",
              "         ...,\n",
              "         [181, 182, 186],\n",
              "         [180, 181, 185],\n",
              "         [180, 181, 185]],\n",
              " \n",
              "        ...,\n",
              " \n",
              "        [[107, 116, 120],\n",
              "         [107, 116, 120],\n",
              "         [107, 116, 120],\n",
              "         ...,\n",
              "         [101, 105, 110],\n",
              "         [ 99, 103, 108],\n",
              "         [ 98, 102, 107]],\n",
              " \n",
              "        [[108, 117, 121],\n",
              "         [107, 116, 120],\n",
              "         [107, 116, 120],\n",
              "         ...,\n",
              "         [100, 104, 109],\n",
              "         [ 99, 103, 108],\n",
              "         [ 98, 102, 107]],\n",
              " \n",
              "        [[108, 117, 121],\n",
              "         [108, 117, 121],\n",
              "         [107, 116, 120],\n",
              "         ...,\n",
              "         [100, 104, 109],\n",
              "         [ 99, 103, 108],\n",
              "         [ 98, 102, 107]]], dtype=uint8)\n",
              " orig_shape: (1560, 1560)\n",
              " path: 'C2.jpg'\n",
              " probs: None\n",
              " save_dir: 'runs/detect/predict2'\n",
              " speed: {'preprocess': 1.107335090637207, 'inference': 6.999373435974121, 'postprocess': 1.898050308227539}]"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from ultralytics import YOLO\n",
        "\n",
        "# Load a model  # load an official model\n",
        "model = YOLO('/content/runs/detect/train/weights/best.pt')  # load a custom trained model\n",
        "\n",
        "# Export the model\n",
        "model.export(format='onnx')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "oaJkr9Kh7_O7",
        "outputId": "5af76191-8471-4684-8fcf-912c5c6b8d3b"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ultralytics YOLOv8.0.221 🚀 Python-3.10.12 torch-2.1.0+cu118 CPU (Intel Xeon 2.00GHz)\n",
            "Model summary (fused): 168 layers, 3005843 parameters, 0 gradients, 8.1 GFLOPs\n",
            "\n",
            "\u001b[34m\u001b[1mPyTorch:\u001b[0m starting from '/content/runs/detect/train/weights/best.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 5, 8400) (6.0 MB)\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m Ultralytics requirement ['onnx>=1.12.0'] not found, attempting AutoUpdate...\n",
            "Collecting onnx>=1.12.0\n",
            "  Downloading onnx-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.7 MB)\n",
            "     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.7/15.7 MB 188.3 MB/s eta 0:00:00\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from onnx>=1.12.0) (1.23.5)\n",
            "Requirement already satisfied: protobuf>=3.20.2 in /usr/local/lib/python3.10/dist-packages (from onnx>=1.12.0) (3.20.3)\n",
            "Installing collected packages: onnx\n",
            "Successfully installed onnx-1.15.0\n",
            "\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m AutoUpdate success ✅ 9.3s, installed 1 package: ['onnx>=1.12.0']\n",
            "\u001b[31m\u001b[1mrequirements:\u001b[0m ⚠️ \u001b[1mRestart runtime or rerun command for updates to take effect\u001b[0m\n",
            "\n",
            "\n",
            "\u001b[34m\u001b[1mONNX:\u001b[0m starting export with onnx 1.15.0 opset 17...\n",
            "\u001b[34m\u001b[1mONNX:\u001b[0m export success ✅ 10.5s, saved as '/content/runs/detect/train/weights/best.onnx' (11.7 MB)\n",
            "\n",
            "Export complete (13.3s)\n",
            "Results saved to \u001b[1m/content/runs/detect/train/weights\u001b[0m\n",
            "Predict:         yolo predict task=detect model=/content/runs/detect/train/weights/best.onnx imgsz=640  \n",
            "Validate:        yolo val task=detect model=/content/runs/detect/train/weights/best.onnx imgsz=640 data=data.yaml  \n",
            "Visualize:       https://netron.app\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content/runs/detect/train/weights/best.onnx'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "9Ez1H_PE9RfG"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}