YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Jul 1, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
PyTorch ,ONNX and TensorRT implementation of YOLOv4
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
A PyTorch implementation of the YOLO v3 object detection algorithm
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
Scaled-YOLOv4: Scaling Cross Stage Partial Network
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
🔥🔥🔥 专注于YOLOv5,YOLOv7、YOLOv8、YOLOv9改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
Creating a software for automatic monitoring in online proctoring
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