YOLOv5
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Updated
Mar 3, 2023 - Python
YOLOv5
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Implementation of popular deep learning networks with TensorRT network definition API
PyTorch ,ONNX and TensorRT implementation of YOLOv4
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
A PyTorch implementation of the YOLO v3 object detection algorithm
YoloV3 Implemented in Tensorflow 2.0
Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Scaled-YOLOv4: Scaling Cross Stage Partial Network
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
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