use pyqt5 to build yolov5

PyQt5 implementation of YOLOv5 GUI

这是一个yolov7的库，可以用于训练自己的数据集。

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

基于yoloV7-pose添加任意个关键点和检测目标多分类

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. Forked from https://ultralytics.com/yolov5

Convert JSON annotations into YOLO format.

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931)

How to Train a Custom Keypoint Detection Model with PyTorch (Article on Medium)

"Learning Delicate Local Representations for Multi-Person Pose Estimation" (ECCV 2020 Spotlight) & (COCO 2019 Human Keypoint Detection Challenge Winner) & (COCO 2019 Best Paper Award)

fork from https://github.com/GengDavid/pytorch-cpn, do minor changes for my own project

Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018)