src/002_train_mmrotate.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Environments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 3.7.12\n"
     ]
    }
   ],
   "source": [
    "!python -V"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('1.6.0+cu101', '0.7.0+cu101')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch, torchvision\n",
    "torch.__version__, torchvision.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/src/article-009/src/mmrotate\n"
     ]
    }
   ],
   "source": [
    "%cd mmrotate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rm: cannot remove '/workspace/src/mmrotate/mmrotate.egg-info': No such file or directory\n",
      "Collecting cython (from -r requirements/build.txt (line 2))\n",
      "  Using cached Cython-0.29.35-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (1.9 MB)\n",
      "Requirement already satisfied: numpy in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from -r requirements/build.txt (line 3)) (1.21.6)\n",
      "Installing collected packages: cython\n",
      "Successfully installed cython-0.29.35\n",
      "Using pip 23.1.2 from /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages/pip (python 3.7)\n",
      "Obtaining file:///home/ubuntu/src/article-009/src/mmrotate\n",
      "  Preparing metadata (setup.py) ... \u001b[?25l  Running command python setup.py egg_info\n",
      "  running egg_info\n",
      "  creating /tmp/pip-pip-egg-info-gro8jv5k/mmrotate.egg-info\n",
      "  writing /tmp/pip-pip-egg-info-gro8jv5k/mmrotate.egg-info/PKG-INFO\n",
      "  writing dependency_links to /tmp/pip-pip-egg-info-gro8jv5k/mmrotate.egg-info/dependency_links.txt\n",
      "  writing requirements to /tmp/pip-pip-egg-info-gro8jv5k/mmrotate.egg-info/requires.txt\n",
      "  writing top-level names to /tmp/pip-pip-egg-info-gro8jv5k/mmrotate.egg-info/top_level.txt\n",
      "  writing manifest file '/tmp/pip-pip-egg-info-gro8jv5k/mmrotate.egg-info/SOURCES.txt'\n",
      "  reading manifest file '/tmp/pip-pip-egg-info-gro8jv5k/mmrotate.egg-info/SOURCES.txt'\n",
      "  reading manifest template 'MANIFEST.in'\n",
      "  warning: no files found matching 'mmrotate/.mim/model-index.yml'\n",
      "  warning: no files found matching '*.py' under directory 'mmrotate/.mim/configs'\n",
      "  warning: no files found matching '*.yml' under directory 'mmrotate/.mim/configs'\n",
      "  warning: no files found matching '*.py' under directory 'mmrotate/.mim/tools'\n",
      "  warning: no files found matching '*.sh' under directory 'mmrotate/.mim/tools'\n",
      "  adding license file 'LICENSE'\n",
      "  writing manifest file '/tmp/pip-pip-egg-info-gro8jv5k/mmrotate.egg-info/SOURCES.txt'\n",
      "\u001b[?25hdone\n",
      "Collecting e2cnn (from mmrotate==0.3.4)\n",
      "  Downloading e2cnn-0.2.3-py3-none-any.whl (225 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m225.3/225.3 kB\u001b[0m \u001b[31m19.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: matplotlib in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmrotate==0.3.4) (3.5.3)\n",
      "Requirement already satisfied: mmcv-full in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmrotate==0.3.4) (1.6.2)\n",
      "Collecting mmdet<3.0.0,>=2.25.1 (from mmrotate==0.3.4)\n",
      "  Downloading mmdet-2.28.2-py3-none-any.whl (1.5 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m62.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: numpy in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmrotate==0.3.4) (1.21.6)\n",
      "Requirement already satisfied: pycocotools in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmrotate==0.3.4) (2.0.6)\n",
      "Requirement already satisfied: six in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmrotate==0.3.4) (1.16.0)\n",
      "Collecting terminaltables (from mmrotate==0.3.4)\n",
      "  Downloading terminaltables-3.1.10-py2.py3-none-any.whl (15 kB)\n",
      "Requirement already satisfied: torch in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmrotate==0.3.4) (1.6.0+cu101)\n",
      "Requirement already satisfied: scipy in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmdet<3.0.0,>=2.25.1->mmrotate==0.3.4) (1.7.3)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/c7/2c/673478fbf79915fe8e55092cd649a3268b17910f41e9c5880406a5b49fdc/sympy-1.11rc1-py3-none-any.whl (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/97/ff/a6f5e277972ab30207a5d378402cfc598d55caa1bba81abee06592bf1c53/sympy-1.11rc1.tar.gz (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/62/a5/54c15ac18abaf2aad2b017110f5271aeb5cb05f19876b66fb5c907fe1116/sympy-1.11-py3-none-any.whl (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/06/6e/56ffadfbdb30ab3650c2074bd35a3439728c8a1c2a50a0f13a2475a4ecac/sympy-1.11.tar.gz (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/2d/49/a2d03101e2d28ad528968144831d506344418ef1cc04839acdbe185889c2/sympy-1.11.1-py3-none-any.whl (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/5a/36/4667b08bc45131fe655a27b1a112c1730f3244343c53a338f44d730bd6ba/sympy-1.11.1.tar.gz (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/48/c8/01feab160a64edcc0741c0c912010728bf4368be4e69c427ac5273e30a70/sympy-1.12rc1-py3-none-any.whl (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/be/dc/df3fcb8f5d1c2568799d649c5312c99812dd971a50560aaa23673731bdac/sympy-1.12rc1.tar.gz (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/d2/05/e6600db80270777c4a64238a98d442f0fd07cc8915be2a1c16da7f2b9e74/sympy-1.12-py3-none-any.whl (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "  Link requires a different Python (3.7.12 not in: '>=3.8'): https://files.pythonhosted.org/packages/e5/57/3485a1a3dff51bfd691962768b14310dae452431754bfc091250be50dd29/sympy-1.12.tar.gz (from https://pypi.org/simple/sympy/) (requires-python:>=3.8)\n",
      "Collecting sympy (from e2cnn->mmrotate==0.3.4)\n",
      "  Downloading sympy-1.10.1-py3-none-any.whl (6.4 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.4/6.4 MB\u001b[0m \u001b[31m74.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m0:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: cycler>=0.10 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from matplotlib->mmrotate==0.3.4) (0.11.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from matplotlib->mmrotate==0.3.4) (4.38.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from matplotlib->mmrotate==0.3.4) (1.4.4)\n",
      "Requirement already satisfied: packaging>=20.0 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from matplotlib->mmrotate==0.3.4) (23.1)\n",
      "Requirement already satisfied: pillow>=6.2.0 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from matplotlib->mmrotate==0.3.4) (9.5.0)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from matplotlib->mmrotate==0.3.4) (3.1.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from matplotlib->mmrotate==0.3.4) (2.8.2)\n",
      "Requirement already satisfied: addict in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmcv-full->mmrotate==0.3.4) (2.4.0)\n",
      "Requirement already satisfied: pyyaml in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmcv-full->mmrotate==0.3.4) (6.0)\n",
      "Requirement already satisfied: yapf in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmcv-full->mmrotate==0.3.4) (0.40.1)\n",
      "Requirement already satisfied: opencv-python>=3 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from mmcv-full->mmrotate==0.3.4) (4.8.0.74)\n",
      "Requirement already satisfied: future in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from torch->mmrotate==0.3.4) (0.18.3)\n",
      "Requirement already satisfied: typing-extensions in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib->mmrotate==0.3.4) (4.7.1)\n",
      "Collecting mpmath>=0.19 (from sympy->e2cnn->mmrotate==0.3.4)\n",
      "  Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m536.2/536.2 kB\u001b[0m \u001b[31m63.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: importlib-metadata>=6.6.0 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from yapf->mmcv-full->mmrotate==0.3.4) (6.7.0)\n",
      "Requirement already satisfied: platformdirs>=3.5.1 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from yapf->mmcv-full->mmrotate==0.3.4) (3.8.0)\n",
      "Requirement already satisfied: tomli>=2.0.1 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from yapf->mmcv-full->mmrotate==0.3.4) (2.0.1)\n",
      "Requirement already satisfied: zipp>=0.5 in /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages (from importlib-metadata>=6.6.0->yapf->mmcv-full->mmrotate==0.3.4) (3.15.0)\n",
      "Installing collected packages: mpmath, terminaltables, sympy, e2cnn, mmdet, mmrotate\n",
      "  changing mode of /home/ubuntu/.conda/envs/article-009/bin/isympy to 775\n",
      "  Running setup.py develop for mmrotate\n",
      "    Running command python setup.py develop\n",
      "    running develop\n",
      "    /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages/setuptools/command/develop.py:40: EasyInstallDeprecationWarning: easy_install command is deprecated.\n",
      "    !!\n",
      "\n",
      "            ********************************************************************************\n",
      "            Please avoid running ``setup.py`` and ``easy_install``.\n",
      "            Instead, use pypa/build, pypa/installer or other\n",
      "            standards-based tools.\n",
      "\n",
      "            See https://github.com/pypa/setuptools/issues/917 for details.\n",
      "            ********************************************************************************\n",
      "\n",
      "    !!\n",
      "      easy_install.initialize_options(self)\n",
      "    /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n",
      "    !!\n",
      "\n",
      "            ********************************************************************************\n",
      "            Please avoid running ``setup.py`` directly.\n",
      "            Instead, use pypa/build, pypa/installer or other\n",
      "            standards-based tools.\n",
      "\n",
      "            See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n",
      "            ********************************************************************************\n",
      "\n",
      "    !!\n",
      "      self.initialize_options()\n",
      "    running egg_info\n",
      "    creating mmrotate.egg-info\n",
      "    writing mmrotate.egg-info/PKG-INFO\n",
      "    writing dependency_links to mmrotate.egg-info/dependency_links.txt\n",
      "    writing requirements to mmrotate.egg-info/requires.txt\n",
      "    writing top-level names to mmrotate.egg-info/top_level.txt\n",
      "    writing manifest file 'mmrotate.egg-info/SOURCES.txt'\n",
      "    reading manifest file 'mmrotate.egg-info/SOURCES.txt'\n",
      "    reading manifest template 'MANIFEST.in'\n",
      "    adding license file 'LICENSE'\n",
      "    writing manifest file 'mmrotate.egg-info/SOURCES.txt'\n",
      "    running build_ext\n",
      "    Creating /home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages/mmrotate.egg-link (link to .)\n",
      "    Adding mmrotate 0.3.4 to easy-install.pth file\n",
      "\n",
      "    Installed /home/ubuntu/src/article-009/src/mmrotate\n",
      "Successfully installed e2cnn-0.2.3 mmdet-2.28.2 mmrotate-0.3.4 mpmath-1.3.0 sympy-1.10.1 terminaltables-3.1.10\n"
     ]
    }
   ],
   "source": [
    "!rm -r /workspace/src/mmrotate/mmrotate.egg-info\n",
    "!pip install -r requirements/build.txt\n",
    "!pip install -v -e ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/src/article-009/src\n"
     ]
    }
   ],
   "source": [
    "# notebook directory\n",
    "%cd ../"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import mmcv\n",
    "import mmrotate ## mmcv>=1.3.17, <=1.8.0.\n",
    "# mmcv.__version__, mmrotate.__version__"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GPU Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch \n",
    "# gpu check\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(device)\n",
    "\n",
    "torch.cuda.is_available()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thu Jul  6 09:11:52 2023       \n",
      "+-----------------------------------------------------------------------------+\n",
      "| NVIDIA-SMI 510.73.08    Driver Version: 510.73.08    CUDA Version: 11.6     |\n",
      "|-------------------------------+----------------------+----------------------+\n",
      "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
      "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
      "|                               |                      |               MIG M. |\n",
      "|===============================+======================+======================|\n",
      "|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |\n",
      "| N/A   52C    P0    69W /  70W |   8955MiB / 15360MiB |    100%      Default |\n",
      "|                               |                      |                  N/A |\n",
      "+-------------------------------+----------------------+----------------------+\n",
      "                                                                               \n",
      "+-----------------------------------------------------------------------------+\n",
      "| Processes:                                                                  |\n",
      "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
      "|        ID   ID                                                   Usage      |\n",
      "|=============================================================================|\n",
      "|    0   N/A  N/A     24107      C   /usr/bin/python3                 8953MiB |\n",
      "+-----------------------------------------------------------------------------+\n"
     ]
    }
   ],
   "source": [
    "!nvidia-smi"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pretrained model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading package lists... Done\n",
      "Building dependency tree       \n",
      "Reading state information... Done\n",
      "The following NEW packages will be installed:\n",
      "  wget\n",
      "0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded.\n",
      "Need to get 316 kB of archives.\n",
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      "Get:1 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 wget amd64 1.19.4-1ubuntu2.2 [316 kB]\n",
      "Fetched 316 kB in 1s (219 kB/s)\u001b[0m3m\u001b[33m\n",
      "debconf: delaying package configuration, since apt-utils is not installed\n",
      "\n",
      "\u001b7\u001b[0;23r\u001b8\u001b[1ASelecting previously unselected package wget.\n",
      "(Reading database ... 18025 files and directories currently installed.)\n",
      "Preparing to unpack .../wget_1.19.4-1ubuntu2.2_amd64.deb ...\n",
      "\u001b7\u001b[24;0f\u001b[42m\u001b[30mProgress: [  0%]\u001b[49m\u001b[39m [..........................................................] \u001b8\u001b7\u001b[24;0f\u001b[42m\u001b[30mProgress: [ 17%]\u001b[49m\u001b[39m [#########.................................................] \u001b8Unpacking wget (1.19.4-1ubuntu2.2) ...\n",
      "\u001b7\u001b[24;0f\u001b[42m\u001b[30mProgress: [ 33%]\u001b[49m\u001b[39m [###################.......................................] \u001b8\u001b7\u001b[24;0f\u001b[42m\u001b[30mProgress: [ 50%]\u001b[49m\u001b[39m [#############################.............................] \u001b8Setting up wget (1.19.4-1ubuntu2.2) ...\n",
      "\u001b7\u001b[24;0f\u001b[42m\u001b[30mProgress: [ 67%]\u001b[49m\u001b[39m [######################################....................] \u001b8\u001b7\u001b[24;0f\u001b[42m\u001b[30mProgress: [ 83%]\u001b[49m\u001b[39m [################################################..........] \u001b8\n",
      "\u001b7\u001b[0;24r\u001b8\u001b[1A\u001b[J"
     ]
    }
   ],
   "source": [
    "!apt install wget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2023-07-04 04:08:05--  https://download.openmmlab.com/mmrotate/v0.1.0/orientedreppoints/oriented_reppoints_r50_fpn_1x_dota_le135/oriented_reppoints_r50_fpn_1x_dota_le135-ef072de9.pth\n",
      "Resolving download.openmmlab.com (download.openmmlab.com)... 128.1.157.210, 128.1.157.217, 128.1.157.212, ...\n",
      "Connecting to download.openmmlab.com (download.openmmlab.com)|128.1.157.210|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 147620842 (141M) [application/octet-stream]\n",
      "Saving to: ‘./weights/oriented_reppoints_r50_fpn_1x_dota_le135-ef072de9.pth’\n",
      "\n",
      "oriented_reppoints_ 100%[===================>] 140.78M  31.3MB/s    in 4.6s    \n",
      "\n",
      "2023-07-04 04:08:09 (30.9 MB/s) - ‘./weights/oriented_reppoints_r50_fpn_1x_dota_le135-ef072de9.pth’ saved [147620842/147620842]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://download.openmmlab.com/mmrotate/v0.1.0/orientedreppoints/oriented_reppoints_r50_fpn_1x_dota_le135/oriented_reppoints_r50_fpn_1x_dota_le135-ef072de9.pth  -P ./weights/"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DOTA v1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pycocotools.coco import COCO\n",
    "from tqdm import tqdm\n",
    "import os\n",
    "import cv2\n",
    "\n",
    "COCO_ROOT = '../sample/train_scale1_h640_w640_oh0.5_ow0.5_min1_segs'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loading annotations into memory...\n",
      "Done (t=0.14s)\n",
      "creating index...\n",
      "index created!\n",
      "\n",
      " 392 images for train\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 392/392 [00:05<00:00, 72.11it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9 images have no label phase train\n",
      "loading annotations into memory...\n",
      "Done (t=0.01s)\n",
      "creating index...\n",
      "index created!\n",
      "\n",
      " 215 images for valid\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 215/215 [00:00<00:00, 409.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "178 images have no label phase valid\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "for phase in ['train', 'valid']:\n",
    "    \n",
    "    COUNT_NO_LABEL = 0\n",
    "    \n",
    "    os.makedirs(COCO_ROOT + '/' + phase, exist_ok=True)\n",
    "    coco = COCO(f'{COCO_ROOT}/{phase}.json')\n",
    "\n",
    "    catIds = coco.getCatIds(catNms=['car']);\n",
    "    imgIds = coco.getImgIds(catIds=catIds);\n",
    "    \n",
    "    print('\\n' , f'{len(imgIds)} images for {phase}')\n",
    "    \n",
    "    for idx_img in tqdm(imgIds, total=len(imgIds)):\n",
    "        try:\n",
    "            img_info = coco.loadImgs(imgIds[idx_img])[0]\n",
    "            annIds = coco.getAnnIds(imgIds=img_info['id'], catIds=catIds, iscrowd=None)\n",
    "            anns = coco.loadAnns(annIds)\n",
    "            \n",
    "            DOTA_FMTS = []\n",
    "            \n",
    "            for ann in anns:\n",
    "                bbox = ann['segmentation'][0]\n",
    "                if len(bbox) < 8:\n",
    "                    # put tmp point\n",
    "                    bbox += bbox\n",
    "                \n",
    "                bbox = bbox[:8]\n",
    "                bbox = list(map(str,map(round, bbox)))\n",
    "                DOTA_FMTS.append(' '.join(bbox) + f' car 0')\n",
    "                \n",
    "            img = cv2.imread(f'{COCO_ROOT}/{img_info[\"file_name\"]}')\n",
    "            cv2.imwrite(f'{COCO_ROOT}/{phase}/{img_info[\"file_name\"]}', img)\n",
    "                \n",
    "            # write to txet file\n",
    "            with open(f'{COCO_ROOT}/{phase}/{img_info[\"file_name\"]}.txt', 'w') as f:\n",
    "                f.write('\\n'.join(DOTA_FMTS))\n",
    "        except Exception as e:\n",
    "            COUNT_NO_LABEL += 1\n",
    "            \n",
    "    print(f'{COUNT_NO_LABEL} images have no label phase {phase}')\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "!cp dota.py mmrotate/mmrotate/datasets/dota.py"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/ubuntu/src/article-009/src/mmrotate/mmrotate/utils/setup_env.py:39: UserWarning: Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.\n",
      "  f'Setting OMP_NUM_THREADS environment variable for each process '\n",
      "/home/ubuntu/src/article-009/src/mmrotate/mmrotate/utils/setup_env.py:49: UserWarning: Setting MKL_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.\n",
      "  f'Setting MKL_NUM_THREADS environment variable for each process '\n",
      "2023-07-07 04:07:26,860 - mmrotate - INFO - Environment info:\n",
      "------------------------------------------------------------\n",
      "sys.platform: linux\n",
      "Python: 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 06:08:21) [GCC 9.4.0]\n",
      "CUDA available: True\n",
      "GPU 0: Tesla T4\n",
      "CUDA_HOME: /usr/local/cuda\n",
      "NVCC: Cuda compilation tools, release 11.6, V11.6.124\n",
      "GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0\n",
      "PyTorch: 1.6.0+cu101\n",
      "PyTorch compiling details: PyTorch built with:\n",
      "  - GCC 7.3\n",
      "  - C++ Version: 201402\n",
      "  - Intel(R) Math Kernel Library Version 2019.0.5 Product Build 20190808 for Intel(R) 64 architecture applications\n",
      "  - Intel(R) MKL-DNN v1.5.0 (Git Hash e2ac1fac44c5078ca927cb9b90e1b3066a0b2ed0)\n",
      "  - OpenMP 201511 (a.k.a. OpenMP 4.5)\n",
      "  - NNPACK is enabled\n",
      "  - CPU capability usage: AVX2\n",
      "  - CUDA Runtime 10.1\n",
      "  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75\n",
      "  - CuDNN 7.6.3\n",
      "  - Magma 2.5.2\n",
      "  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, \n",
      "\n",
      "TorchVision: 0.7.0+cu101\n",
      "OpenCV: 4.8.0\n",
      "MMCV: 1.6.2\n",
      "MMCV Compiler: GCC 7.3\n",
      "MMCV CUDA Compiler: 10.1\n",
      "MMRotate: 0.3.4+9f45c7f\n",
      "------------------------------------------------------------\n",
      "\n",
      "2023-07-07 04:07:27,601 - mmrotate - INFO - Distributed training: False\n",
      "2023-07-07 04:07:28,321 - mmrotate - INFO - Config:\n",
      "angle_version = 'le135'\n",
      "norm_cfg = dict(type='GN', num_groups=32, requires_grad=True)\n",
      "model = dict(\n",
      "    type='RotatedRepPoints',\n",
      "    backbone=dict(\n",
      "        type='ResNet',\n",
      "        depth=50,\n",
      "        num_stages=4,\n",
      "        out_indices=(0, 1, 2, 3),\n",
      "        frozen_stages=1,\n",
      "        zero_init_residual=False,\n",
      "        norm_cfg=dict(type='BN', requires_grad=True),\n",
      "        norm_eval=True,\n",
      "        style='pytorch',\n",
      "        init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50')),\n",
      "    neck=dict(\n",
      "        type='FPN',\n",
      "        in_channels=[256, 512, 1024, 2048],\n",
      "        out_channels=256,\n",
      "        start_level=1,\n",
      "        add_extra_convs='on_input',\n",
      "        num_outs=5,\n",
      "        norm_cfg=dict(type='GN', num_groups=32, requires_grad=True)),\n",
      "    bbox_head=dict(\n",
      "        type='OrientedRepPointsHead',\n",
      "        num_classes=1,\n",
      "        in_channels=256,\n",
      "        feat_channels=256,\n",
      "        point_feat_channels=256,\n",
      "        stacked_convs=3,\n",
      "        num_points=9,\n",
      "        gradient_mul=0.3,\n",
      "        point_strides=[8, 16, 32, 64, 128],\n",
      "        point_base_scale=2,\n",
      "        norm_cfg=dict(type='GN', num_groups=32, requires_grad=True),\n",
      "        loss_cls=dict(\n",
      "            type='FocalLoss',\n",
      "            use_sigmoid=True,\n",
      "            gamma=2.0,\n",
      "            alpha=0.25,\n",
      "            loss_weight=1.0),\n",
      "        loss_bbox_init=dict(type='ConvexGIoULoss', loss_weight=0.375),\n",
      "        loss_bbox_refine=dict(type='ConvexGIoULoss', loss_weight=1.0),\n",
      "        loss_spatial_init=dict(type='SpatialBorderLoss', loss_weight=0.05),\n",
      "        loss_spatial_refine=dict(type='SpatialBorderLoss', loss_weight=0.1),\n",
      "        init_qua_weight=0.2,\n",
      "        top_ratio=0.4),\n",
      "    train_cfg=dict(\n",
      "        init=dict(\n",
      "            assigner=dict(type='ConvexAssigner', scale=4, pos_num=1),\n",
      "            allowed_border=-1,\n",
      "            pos_weight=-1,\n",
      "            debug=False),\n",
      "        refine=dict(\n",
      "            assigner=dict(\n",
      "                type='MaxConvexIoUAssigner',\n",
      "                pos_iou_thr=0.1,\n",
      "                neg_iou_thr=0.1,\n",
      "                min_pos_iou=0,\n",
      "                ignore_iof_thr=-1),\n",
      "            allowed_border=-1,\n",
      "            pos_weight=-1,\n",
      "            debug=False)),\n",
      "    test_cfg=dict(\n",
      "        nms_pre=2000,\n",
      "        min_bbox_size=0,\n",
      "        score_thr=0.05,\n",
      "        nms=dict(iou_thr=0.4),\n",
      "        max_per_img=2000))\n",
      "img_norm_cfg = dict(\n",
      "    mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\n",
      "train_pipeline = [\n",
      "    dict(type='LoadImageFromFile'),\n",
      "    dict(type='LoadAnnotations', with_bbox=True),\n",
      "    dict(type='RResize', img_scale=(640, 640)),\n",
      "    dict(type='RRandomFlip', flip_ratio=0.5),\n",
      "    dict(\n",
      "        type='Normalize',\n",
      "        mean=[123.675, 116.28, 103.53],\n",
      "        std=[58.395, 57.12, 57.375],\n",
      "        to_rgb=True),\n",
      "    dict(type='Pad', size_divisor=32),\n",
      "    dict(type='DefaultFormatBundle'),\n",
      "    dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n",
      "]\n",
      "data = dict(\n",
      "    samples_per_gpu=4,\n",
      "    workers_per_gpu=4,\n",
      "    train=dict(\n",
      "        type='DOTADataset',\n",
      "        ann_file=\n",
      "        '../sample/train_scale1_h640_w640_oh0.5_ow0.5_min1_segs//train',\n",
      "        img_prefix=\n",
      "        '../sample/train_scale1_h640_w640_oh0.5_ow0.5_min1_segs//train',\n",
      "        pipeline=[\n",
      "            dict(type='LoadImageFromFile'),\n",
      "            dict(type='LoadAnnotations', with_bbox=True),\n",
      "            dict(type='RResize', img_scale=(640, 640)),\n",
      "            dict(type='RRandomFlip', flip_ratio=0.5),\n",
      "            dict(\n",
      "                type='Normalize',\n",
      "                mean=[123.675, 116.28, 103.53],\n",
      "                std=[58.395, 57.12, 57.375],\n",
      "                to_rgb=True),\n",
      "            dict(type='Pad', size_divisor=32),\n",
      "            dict(type='DefaultFormatBundle'),\n",
      "            dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels'])\n",
      "        ]),\n",
      "    val=dict(\n",
      "        type='DOTADataset',\n",
      "        ann_file=\n",
      "        '../sample/train_scale1_h640_w640_oh0.5_ow0.5_min1_segs//valid',\n",
      "        img_prefix=\n",
      "        '../sample/train_scale1_h640_w640_oh0.5_ow0.5_min1_segs//valid',\n",
      "        pipeline=[\n",
      "            dict(type='LoadImageFromFile'),\n",
      "            dict(\n",
      "                type='MultiScaleFlipAug',\n",
      "                img_scale=(640, 640),\n",
      "                flip=False,\n",
      "                transforms=[\n",
      "                    dict(type='RResize'),\n",
      "                    dict(\n",
      "                        type='Normalize',\n",
      "                        mean=[123.675, 116.28, 103.53],\n",
      "                        std=[58.395, 57.12, 57.375],\n",
      "                        to_rgb=True),\n",
      "                    dict(type='Pad', size_divisor=32),\n",
      "                    dict(type='DefaultFormatBundle'),\n",
      "                    dict(type='Collect', keys=['img'])\n",
      "                ])\n",
      "        ]),\n",
      "    test=dict(\n",
      "        type='DOTADataset',\n",
      "        ann_file=\n",
      "        '../sample/train_scale1_h640_w640_oh0.5_ow0.5_min1_segs//valid',\n",
      "        img_prefix=\n",
      "        '../sample/train_scale1_h640_w640_oh0.5_ow0.5_min1_segs//valid',\n",
      "        pipeline=[\n",
      "            dict(type='LoadImageFromFile'),\n",
      "            dict(\n",
      "                type='MultiScaleFlipAug',\n",
      "                img_scale=(640, 640),\n",
      "                flip=False,\n",
      "                transforms=[\n",
      "                    dict(type='RResize'),\n",
      "                    dict(\n",
      "                        type='Normalize',\n",
      "                        mean=[123.675, 116.28, 103.53],\n",
      "                        std=[58.395, 57.12, 57.375],\n",
      "                        to_rgb=True),\n",
      "                    dict(type='Pad', size_divisor=32),\n",
      "                    dict(type='DefaultFormatBundle'),\n",
      "                    dict(type='Collect', keys=['img'])\n",
      "                ])\n",
      "        ]))\n",
      "dataset_type = 'DOTADataset'\n",
      "data_root = '../sample/train_scale1_h640_w640_oh0.5_ow0.5_min1_segs/'\n",
      "test_pipeline = [\n",
      "    dict(type='LoadImageFromFile'),\n",
      "    dict(\n",
      "        type='MultiScaleFlipAug',\n",
      "        img_scale=(640, 640),\n",
      "        flip=False,\n",
      "        transforms=[\n",
      "            dict(type='RResize'),\n",
      "            dict(\n",
      "                type='Normalize',\n",
      "                mean=[123.675, 116.28, 103.53],\n",
      "                std=[58.395, 57.12, 57.375],\n",
      "                to_rgb=True),\n",
      "            dict(type='Pad', size_divisor=32),\n",
      "            dict(type='DefaultFormatBundle'),\n",
      "            dict(type='Collect', keys=['img'])\n",
      "        ])\n",
      "]\n",
      "evaluation = dict(interval=1, metric='mAP')\n",
      "optimizer = dict(type='SGD', lr=0.008, momentum=0.9, weight_decay=0.0001)\n",
      "optimizer_config = dict(grad_clip=dict(max_norm=15, norm_type=2))\n",
      "lr_config = dict(\n",
      "    policy='step',\n",
      "    warmup='linear',\n",
      "    warmup_iters=500,\n",
      "    warmup_ratio=0.3333333333333333,\n",
      "    step=[15, 20])\n",
      "runner = dict(type='EpochBasedRunner', max_epochs=30)\n",
      "checkpoint_config = dict(interval=2, max_keep_ckpts=3)\n",
      "log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')])\n",
      "dist_params = dict(backend='nccl')\n",
      "log_level = 'INFO'\n",
      "load_from = 'weights/oriented_reppoints_r50_fpn_1x_dota_le135-ef072de9.pth'\n",
      "resume_from = None\n",
      "workflow = [('train', 1)]\n",
      "work_dirs = 'work_dirs/oriented_reppoints_segs/'\n",
      "opencv_num_threads = 0\n",
      "mp_start_method = 'fork'\n",
      "work_dir = './work_dirs/oriented_reppoints_segs'\n",
      "auto_resume = False\n",
      "gpu_ids = range(0, 1)\n",
      "\n",
      "2023-07-07 04:07:28,321 - mmrotate - INFO - Set random seed to 1329835948, deterministic: False\n",
      "2023-07-07 04:07:28,789 - mmrotate - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'}\n",
      "2023-07-07 04:07:28,790 - mmcv - INFO - load model from: torchvision://resnet50\n",
      "2023-07-07 04:07:28,790 - mmcv - INFO - load checkpoint from torchvision path: torchvision://resnet50\n",
      "2023-07-07 04:07:29,381 - mmcv - WARNING - The model and loaded state dict do not match exactly\n",
      "\n",
      "unexpected key in source state_dict: fc.weight, fc.bias\n",
      "\n",
      "2023-07-07 04:07:29,406 - mmrotate - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'}\n",
      "2023-07-07 04:07:29,458 - mmrotate - INFO - initialize OrientedRepPointsHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01, 'override': {'type': 'Normal', 'name': 'reppoints_cls_out', 'std': 0.01, 'bias_prob': 0.01}}\n",
      "2023-07-07 04:07:35,646 - mmrotate - INFO - load checkpoint from local path: weights/oriented_reppoints_r50_fpn_1x_dota_le135-ef072de9.pth\n",
      "2023-07-07 04:07:36,250 - mmrotate - WARNING - The model and loaded state dict do not match exactly\n",
      "\n",
      "size mismatch for bbox_head.reppoints_cls_out.weight: copying a param with shape torch.Size([15, 256, 1, 1]) from checkpoint, the shape in current model is torch.Size([1, 256, 1, 1]).\n",
      "size mismatch for bbox_head.reppoints_cls_out.bias: copying a param with shape torch.Size([15]) from checkpoint, the shape in current model is torch.Size([1]).\n",
      "2023-07-07 04:07:36,256 - mmrotate - INFO - Start running, host: ubuntu@ip-172-31-44-23, work_dir: /home/ubuntu/src/article-009/src/work_dirs/oriented_reppoints_segs\n",
      "2023-07-07 04:07:36,257 - mmrotate - INFO - Hooks will be executed in the following order:\n",
      "before_run:\n",
      "(VERY_HIGH   ) StepLrUpdaterHook                  \n",
      "(NORMAL      ) CheckpointHook                     \n",
      "(LOW         ) EvalHook                           \n",
      "(VERY_LOW    ) TextLoggerHook                     \n",
      " -------------------- \n",
      "before_train_epoch:\n",
      "(VERY_HIGH   ) StepLrUpdaterHook                  \n",
      "(LOW         ) IterTimerHook                      \n",
      "(LOW         ) EvalHook                           \n",
      "(VERY_LOW    ) TextLoggerHook                     \n",
      " -------------------- \n",
      "before_train_iter:\n",
      "(VERY_HIGH   ) StepLrUpdaterHook                  \n",
      "(LOW         ) IterTimerHook                      \n",
      "(LOW         ) EvalHook                           \n",
      " -------------------- \n",
      "after_train_iter:\n",
      "(ABOVE_NORMAL) OptimizerHook                      \n",
      "(NORMAL      ) CheckpointHook                     \n",
      "(LOW         ) IterTimerHook                      \n",
      "(LOW         ) EvalHook                           \n",
      "(VERY_LOW    ) TextLoggerHook                     \n",
      " -------------------- \n",
      "after_train_epoch:\n",
      "(NORMAL      ) CheckpointHook                     \n",
      "(LOW         ) EvalHook                           \n",
      "(VERY_LOW    ) TextLoggerHook                     \n",
      " -------------------- \n",
      "before_val_epoch:\n",
      "(LOW         ) IterTimerHook                      \n",
      "(VERY_LOW    ) TextLoggerHook                     \n",
      " -------------------- \n",
      "before_val_iter:\n",
      "(LOW         ) IterTimerHook                      \n",
      " -------------------- \n",
      "after_val_iter:\n",
      "(LOW         ) IterTimerHook                      \n",
      " -------------------- \n",
      "after_val_epoch:\n",
      "(VERY_LOW    ) TextLoggerHook                     \n",
      " -------------------- \n",
      "after_run:\n",
      "(VERY_LOW    ) TextLoggerHook                     \n",
      " -------------------- \n",
      "2023-07-07 04:07:36,257 - mmrotate - INFO - workflow: [('train', 1)], max: 30 epochs\n",
      "2023-07-07 04:07:36,257 - mmrotate - INFO - Checkpoints will be saved to /home/ubuntu/src/article-009/src/work_dirs/oriented_reppoints_segs by HardDiskBackend.\n",
      "/home/ubuntu/.conda/envs/article-009/lib/python3.7/site-packages/torch/nn/functional.py:3384: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details.\n",
      "  warnings.warn(\"Default grid_sample and affine_grid behavior has changed \"\n",
      "[W TensorIterator.cpp:918] Warning: Mixed memory format inputs detected while calling the operator. The operator will output contiguous tensor even if some of the inputs are in channels_last format. (function operator())\n",
      "2023-07-07 04:08:30,757 - mmrotate - INFO - Epoch [1][50/96]\tlr: 3.189e-03, eta: 0:51:24, time: 1.090, data_time: 0.052, memory: 3531, loss_cls: 0.5969, loss_pts_init: 0.2157, loss_pts_refine: 0.5791, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 1.3918, grad_norm: 3.7448\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 14.5 task/s, elapsed: 3s, ETA:     0s2023-07-07 04:09:25,958 - mmrotate - INFO - \n",
      "+-------+-----+-------+--------+-------+\n",
      "| class | gts | dets  | recall | ap    |\n",
      "+-------+-----+-------+--------+-------+\n",
      "| car   | 347 | 14438 | 0.357  | 0.061 |\n",
      "+-------+-----+-------+--------+-------+\n",
      "| mAP   |     |       |        | 0.061 |\n",
      "+-------+-----+-------+--------+-------+\n",
      "2023-07-07 04:09:25,958 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:09:25,958 - mmrotate - INFO - Epoch(val) [1][37]\tmAP: 0.0614\n",
      "2023-07-07 04:10:22,819 - mmrotate - INFO - Epoch [2][50/96]\tlr: 4.213e-03, eta: 0:34:45, time: 1.137, data_time: 0.051, memory: 3531, loss_cls: 0.3291, loss_pts_init: 0.1952, loss_pts_refine: 0.5230, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 1.0475, grad_norm: 2.6754\n",
      "2023-07-07 04:11:11,800 - mmrotate - INFO - Saving checkpoint at 2 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.1 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:11:18,326 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 8810 | 0.369  | 0.056 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.056 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:11:18,326 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:11:18,326 - mmrotate - INFO - Epoch(val) [2][37]\tmAP: 0.0564\n",
      "2023-07-07 04:12:14,978 - mmrotate - INFO - Epoch [3][50/96]\tlr: 5.237e-03, eta: 0:30:31, time: 1.133, data_time: 0.051, memory: 3531, loss_cls: 0.3680, loss_pts_init: 0.1888, loss_pts_refine: 0.5039, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 1.0608, grad_norm: 3.0087\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.0 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:13:09,349 - mmrotate - INFO - \n",
      "+-------+-----+-------+--------+-------+\n",
      "| class | gts | dets  | recall | ap    |\n",
      "+-------+-----+-------+--------+-------+\n",
      "| car   | 347 | 11291 | 0.447  | 0.088 |\n",
      "+-------+-----+-------+--------+-------+\n",
      "| mAP   |     |       |        | 0.088 |\n",
      "+-------+-----+-------+--------+-------+\n",
      "2023-07-07 04:13:09,349 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:13:09,350 - mmrotate - INFO - Epoch(val) [3][37]\tmAP: 0.0876\n",
      "2023-07-07 04:14:05,027 - mmrotate - INFO - Epoch [4][50/96]\tlr: 6.261e-03, eta: 0:28:02, time: 1.113, data_time: 0.051, memory: 3531, loss_cls: 0.2755, loss_pts_init: 0.1825, loss_pts_refine: 0.4828, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.9410, grad_norm: 2.3842\n",
      "2023-07-07 04:14:54,495 - mmrotate - INFO - Saving checkpoint at 4 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.1 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:15:00,933 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 5894 | 0.432  | 0.087 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.087 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:15:00,934 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:15:00,934 - mmrotate - INFO - Epoch(val) [4][37]\tmAP: 0.0869\n",
      "2023-07-07 04:15:57,192 - mmrotate - INFO - Epoch [5][50/96]\tlr: 7.285e-03, eta: 0:26:17, time: 1.125, data_time: 0.052, memory: 3531, loss_cls: 0.2555, loss_pts_init: 0.1783, loss_pts_refine: 0.4725, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.9065, grad_norm: 2.0599\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.3 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:16:52,561 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 8408 | 0.481  | 0.160 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.160 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:16:52,561 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:16:52,561 - mmrotate - INFO - Epoch(val) [5][37]\tmAP: 0.1604\n",
      "2023-07-07 04:17:48,606 - mmrotate - INFO - Epoch [6][50/96]\tlr: 8.000e-03, eta: 0:24:49, time: 1.121, data_time: 0.052, memory: 3531, loss_cls: 0.2112, loss_pts_init: 0.1694, loss_pts_refine: 0.4477, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.8285, grad_norm: 2.0571\n",
      "2023-07-07 04:18:37,931 - mmrotate - INFO - Saving checkpoint at 6 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.1 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:18:44,516 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 6725 | 0.467  | 0.171 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.171 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:18:44,517 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:18:44,517 - mmrotate - INFO - Epoch(val) [6][37]\tmAP: 0.1711\n",
      "2023-07-07 04:19:41,031 - mmrotate - INFO - Epoch [7][50/96]\tlr: 8.000e-03, eta: 0:23:33, time: 1.130, data_time: 0.051, memory: 3531, loss_cls: 0.2175, loss_pts_init: 0.1623, loss_pts_refine: 0.4283, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.8083, grad_norm: 2.5081\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.3 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:20:36,346 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 8754 | 0.550  | 0.198 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.198 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:20:36,346 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:20:36,346 - mmrotate - INFO - Epoch(val) [7][37]\tmAP: 0.1976\n",
      "2023-07-07 04:21:31,506 - mmrotate - INFO - Epoch [8][50/96]\tlr: 8.000e-03, eta: 0:22:17, time: 1.103, data_time: 0.051, memory: 3531, loss_cls: 0.1866, loss_pts_init: 0.1574, loss_pts_refine: 0.4213, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.7655, grad_norm: 2.2766\n",
      "2023-07-07 04:22:20,430 - mmrotate - INFO - Saving checkpoint at 8 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.1 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:22:26,819 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 5057 | 0.628  | 0.194 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.194 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:22:26,820 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:22:26,820 - mmrotate - INFO - Epoch(val) [8][37]\tmAP: 0.1938\n",
      "2023-07-07 04:23:22,712 - mmrotate - INFO - Epoch [9][50/96]\tlr: 8.000e-03, eta: 0:21:09, time: 1.118, data_time: 0.051, memory: 3531, loss_cls: 0.1575, loss_pts_init: 0.1478, loss_pts_refine: 0.3914, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.6969, grad_norm: 2.2390\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.2 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:24:17,836 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 5107 | 0.628  | 0.167 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.167 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:24:17,836 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:24:17,837 - mmrotate - INFO - Epoch(val) [9][37]\tmAP: 0.1666\n",
      "2023-07-07 04:25:15,880 - mmrotate - INFO - Epoch [10][50/96]\tlr: 8.000e-03, eta: 0:20:07, time: 1.161, data_time: 0.051, memory: 3531, loss_cls: 0.1399, loss_pts_init: 0.1425, loss_pts_refine: 0.3752, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.6578, grad_norm: 2.0906\n",
      "2023-07-07 04:26:03,680 - mmrotate - INFO - Saving checkpoint at 10 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.1 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:26:09,823 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 3980 | 0.646  | 0.200 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.200 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:26:09,824 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:26:09,824 - mmrotate - INFO - Epoch(val) [10][37]\tmAP: 0.1999\n",
      "2023-07-07 04:27:04,586 - mmrotate - INFO - Epoch [11][50/96]\tlr: 8.000e-03, eta: 0:19:00, time: 1.095, data_time: 0.051, memory: 3531, loss_cls: 0.1451, loss_pts_init: 0.1380, loss_pts_refine: 0.3651, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.6484, grad_norm: 2.3574\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.2 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:27:59,425 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 4922 | 0.660  | 0.173 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.173 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:27:59,425 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:27:59,426 - mmrotate - INFO - Epoch(val) [11][37]\tmAP: 0.1729\n",
      "2023-07-07 04:28:54,559 - mmrotate - INFO - Epoch [12][50/96]\tlr: 8.000e-03, eta: 0:17:56, time: 1.103, data_time: 0.051, memory: 3531, loss_cls: 0.1351, loss_pts_init: 0.1321, loss_pts_refine: 0.3499, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.6173, grad_norm: 2.2459\n",
      "2023-07-07 04:29:43,803 - mmrotate - INFO - Saving checkpoint at 12 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.3 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:29:50,037 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 4103 | 0.706  | 0.194 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.194 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:29:50,037 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:29:50,037 - mmrotate - INFO - Epoch(val) [12][37]\tmAP: 0.1941\n",
      "2023-07-07 04:30:45,974 - mmrotate - INFO - Epoch [13][50/96]\tlr: 8.000e-03, eta: 0:16:55, time: 1.119, data_time: 0.051, memory: 3531, loss_cls: 0.1517, loss_pts_init: 0.1316, loss_pts_refine: 0.3492, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.6326, grad_norm: 2.6559\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.3 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:31:41,362 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 3022 | 0.692  | 0.194 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.194 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:31:41,363 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:31:41,363 - mmrotate - INFO - Epoch(val) [13][37]\tmAP: 0.1937\n",
      "2023-07-07 04:32:39,590 - mmrotate - INFO - Epoch [14][50/96]\tlr: 8.000e-03, eta: 0:15:57, time: 1.164, data_time: 0.051, memory: 3531, loss_cls: 0.1161, loss_pts_init: 0.1240, loss_pts_refine: 0.3296, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.5699, grad_norm: 2.1170\n",
      "2023-07-07 04:33:27,318 - mmrotate - INFO - Saving checkpoint at 14 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.1 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:33:33,412 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 3705 | 0.657  | 0.229 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.229 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:33:33,422 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:33:33,423 - mmrotate - INFO - Epoch(val) [14][37]\tmAP: 0.2292\n",
      "2023-07-07 04:34:29,253 - mmrotate - INFO - Epoch [15][50/96]\tlr: 8.000e-03, eta: 0:14:56, time: 1.116, data_time: 0.051, memory: 3531, loss_cls: 0.1221, loss_pts_init: 0.1265, loss_pts_refine: 0.3362, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.5850, grad_norm: 2.4721\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.2 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:35:23,748 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 3253 | 0.738  | 0.204 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.204 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:35:23,749 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:35:23,749 - mmrotate - INFO - Epoch(val) [15][37]\tmAP: 0.2044\n",
      "2023-07-07 04:36:19,823 - mmrotate - INFO - Epoch [16][50/96]\tlr: 8.000e-04, eta: 0:13:57, time: 1.121, data_time: 0.051, memory: 3531, loss_cls: 0.1086, loss_pts_init: 0.1154, loss_pts_refine: 0.3076, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.5317, grad_norm: 2.0190\n",
      "2023-07-07 04:37:09,699 - mmrotate - INFO - Saving checkpoint at 16 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.2 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:37:15,783 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2510 | 0.735  | 0.221 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.221 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:37:15,784 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:37:15,784 - mmrotate - INFO - Epoch(val) [16][37]\tmAP: 0.2207\n",
      "2023-07-07 04:38:12,139 - mmrotate - INFO - Epoch [17][50/96]\tlr: 8.000e-04, eta: 0:12:58, time: 1.127, data_time: 0.051, memory: 3531, loss_cls: 0.1006, loss_pts_init: 0.1076, loss_pts_refine: 0.2816, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4899, grad_norm: 1.7977\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.1 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:39:06,516 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2395 | 0.752  | 0.231 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.231 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:39:06,517 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:39:06,517 - mmrotate - INFO - Epoch(val) [17][37]\tmAP: 0.2306\n",
      "2023-07-07 04:40:01,871 - mmrotate - INFO - Epoch [18][50/96]\tlr: 8.000e-04, eta: 0:11:58, time: 1.107, data_time: 0.051, memory: 3531, loss_cls: 0.1015, loss_pts_init: 0.1083, loss_pts_refine: 0.2834, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4935, grad_norm: 1.9705\n",
      "2023-07-07 04:40:51,904 - mmrotate - INFO - Saving checkpoint at 18 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.2 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:40:57,944 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2221 | 0.744  | 0.226 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.226 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:40:57,945 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:40:57,945 - mmrotate - INFO - Epoch(val) [18][37]\tmAP: 0.2257\n",
      "2023-07-07 04:41:53,223 - mmrotate - INFO - Epoch [19][50/96]\tlr: 8.000e-04, eta: 0:10:59, time: 1.105, data_time: 0.051, memory: 3531, loss_cls: 0.0928, loss_pts_init: 0.1021, loss_pts_refine: 0.2619, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4570, grad_norm: 1.8884\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.3 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:42:48,267 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2095 | 0.720  | 0.217 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.217 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:42:48,267 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:42:48,268 - mmrotate - INFO - Epoch(val) [19][37]\tmAP: 0.2175\n",
      "2023-07-07 04:43:44,379 - mmrotate - INFO - Epoch [20][50/96]\tlr: 8.000e-04, eta: 0:10:01, time: 1.122, data_time: 0.051, memory: 3531, loss_cls: 0.0930, loss_pts_init: 0.1010, loss_pts_refine: 0.2590, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4531, grad_norm: 1.7278\n",
      "2023-07-07 04:44:33,180 - mmrotate - INFO - Saving checkpoint at 20 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 14.6 task/s, elapsed: 3s, ETA:     0s2023-07-07 04:44:40,501 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2088 | 0.732  | 0.221 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.221 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:44:40,502 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:44:40,502 - mmrotate - INFO - Epoch(val) [20][37]\tmAP: 0.2208\n",
      "2023-07-07 04:45:36,830 - mmrotate - INFO - Epoch [21][50/96]\tlr: 8.000e-05, eta: 0:09:03, time: 1.126, data_time: 0.051, memory: 3531, loss_cls: 0.0898, loss_pts_init: 0.1014, loss_pts_refine: 0.2623, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4537, grad_norm: 1.6717\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.4 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:46:30,610 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2086 | 0.726  | 0.222 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.222 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:46:30,610 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:46:30,610 - mmrotate - INFO - Epoch(val) [21][37]\tmAP: 0.2217\n",
      "2023-07-07 04:47:27,450 - mmrotate - INFO - Epoch [22][50/96]\tlr: 8.000e-05, eta: 0:08:06, time: 1.137, data_time: 0.051, memory: 3531, loss_cls: 0.0872, loss_pts_init: 0.0967, loss_pts_refine: 0.2465, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4306, grad_norm: 1.6515\n",
      "2023-07-07 04:48:16,083 - mmrotate - INFO - Saving checkpoint at 22 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.2 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:48:22,121 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2051 | 0.729  | 0.223 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.223 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:48:22,122 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:48:22,122 - mmrotate - INFO - Epoch(val) [22][37]\tmAP: 0.2233\n",
      "2023-07-07 04:49:18,950 - mmrotate - INFO - Epoch [23][50/96]\tlr: 8.000e-05, eta: 0:07:08, time: 1.136, data_time: 0.051, memory: 3531, loss_cls: 0.0882, loss_pts_init: 0.1007, loss_pts_refine: 0.2611, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4502, grad_norm: 1.5994\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.2 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:50:12,820 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2044 | 0.726  | 0.224 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.224 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:50:12,821 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:50:12,821 - mmrotate - INFO - Epoch(val) [23][37]\tmAP: 0.2235\n",
      "2023-07-07 04:51:08,947 - mmrotate - INFO - Epoch [24][50/96]\tlr: 8.000e-05, eta: 0:06:10, time: 1.122, data_time: 0.052, memory: 3531, loss_cls: 0.0868, loss_pts_init: 0.1001, loss_pts_refine: 0.2547, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4418, grad_norm: 1.6371\n",
      "2023-07-07 04:51:58,682 - mmrotate - INFO - Saving checkpoint at 24 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.3 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:52:04,816 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2019 | 0.729  | 0.224 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.224 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:52:04,816 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:52:04,817 - mmrotate - INFO - Epoch(val) [24][37]\tmAP: 0.2242\n",
      "2023-07-07 04:53:01,124 - mmrotate - INFO - Epoch [25][50/96]\tlr: 8.000e-05, eta: 0:05:13, time: 1.126, data_time: 0.052, memory: 3531, loss_cls: 0.0858, loss_pts_init: 0.1000, loss_pts_refine: 0.2544, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4403, grad_norm: 1.6186\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.2 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:53:55,731 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 1968 | 0.723  | 0.222 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.222 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:53:55,732 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:53:55,732 - mmrotate - INFO - Epoch(val) [25][37]\tmAP: 0.2218\n",
      "2023-07-07 04:54:52,466 - mmrotate - INFO - Epoch [26][50/96]\tlr: 8.000e-05, eta: 0:04:16, time: 1.134, data_time: 0.051, memory: 3531, loss_cls: 0.0855, loss_pts_init: 0.0995, loss_pts_refine: 0.2578, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4429, grad_norm: 1.6425\n",
      "2023-07-07 04:55:41,442 - mmrotate - INFO - Saving checkpoint at 26 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 14.7 task/s, elapsed: 3s, ETA:     0s2023-07-07 04:55:48,877 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 1975 | 0.723  | 0.223 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.223 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:55:48,878 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:55:48,878 - mmrotate - INFO - Epoch(val) [26][37]\tmAP: 0.2229\n",
      "2023-07-07 04:56:44,415 - mmrotate - INFO - Epoch [27][50/96]\tlr: 8.000e-05, eta: 0:03:18, time: 1.111, data_time: 0.051, memory: 3531, loss_cls: 0.0917, loss_pts_init: 0.1010, loss_pts_refine: 0.2605, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4535, grad_norm: 1.7568\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.4 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:57:39,467 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 1972 | 0.723  | 0.223 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.223 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:57:39,497 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:57:39,497 - mmrotate - INFO - Epoch(val) [27][37]\tmAP: 0.2228\n",
      "2023-07-07 04:58:35,036 - mmrotate - INFO - Epoch [28][50/96]\tlr: 8.000e-05, eta: 0:02:21, time: 1.111, data_time: 0.051, memory: 3531, loss_cls: 0.0929, loss_pts_init: 0.1002, loss_pts_refine: 0.2582, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4516, grad_norm: 1.7410\n",
      "2023-07-07 04:59:25,028 - mmrotate - INFO - Saving checkpoint at 28 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 14.8 task/s, elapsed: 2s, ETA:     0s2023-07-07 04:59:32,415 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 2001 | 0.720  | 0.219 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.219 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 04:59:32,415 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 04:59:32,415 - mmrotate - INFO - Epoch(val) [28][37]\tmAP: 0.2189\n",
      "2023-07-07 05:00:28,939 - mmrotate - INFO - Epoch [29][50/96]\tlr: 8.000e-05, eta: 0:01:24, time: 1.130, data_time: 0.052, memory: 3531, loss_cls: 0.0883, loss_pts_init: 0.1002, loss_pts_refine: 0.2551, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4438, grad_norm: 1.7487\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 15.3 task/s, elapsed: 2s, ETA:     0s2023-07-07 05:01:23,565 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 1977 | 0.718  | 0.218 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.218 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 05:01:23,565 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 05:01:23,566 - mmrotate - INFO - Epoch(val) [29][37]\tmAP: 0.2181\n",
      "2023-07-07 05:02:20,336 - mmrotate - INFO - Epoch [30][50/96]\tlr: 8.000e-05, eta: 0:00:27, time: 1.135, data_time: 0.051, memory: 3531, loss_cls: 0.0846, loss_pts_init: 0.0980, loss_pts_refine: 0.2492, loss_spatial_init: 0.0001, loss_spatial_refine: 0.0001, loss: 0.4319, grad_norm: 1.5687\n",
      "2023-07-07 05:03:09,114 - mmrotate - INFO - Saving checkpoint at 30 epochs\n",
      "[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 37/37, 14.6 task/s, elapsed: 3s, ETA:     0s2023-07-07 05:03:16,538 - mmrotate - INFO - \n",
      "+-------+-----+------+--------+-------+\n",
      "| class | gts | dets | recall | ap    |\n",
      "+-------+-----+------+--------+-------+\n",
      "| car   | 347 | 1991 | 0.723  | 0.221 |\n",
      "+-------+-----+------+--------+-------+\n",
      "| mAP   |     |      |        | 0.221 |\n",
      "+-------+-----+------+--------+-------+\n",
      "2023-07-07 05:03:16,539 - mmrotate - INFO - Exp name: oriented_reppoints_segs.py\n",
      "2023-07-07 05:03:16,539 - mmrotate - INFO - Epoch(val) [30][37]\tmAP: 0.2212\n"
     ]
    }
   ],
   "source": [
    "!python mmrotate/tools/train.py cfg/oriented_reppoints_segs.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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