Pick-Me-Up-Up's starred repositories
YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
yolov5-deepsort-pedestrian-counting
yolov5 + deepsort实现了行人计数功能， 统计摄像头内出现过的总人数，以及对穿越自定义黄线行人计数效果如下
vehicle-speed-check
Vehicle Speed Check
yolov5-deepsort-cars
一个使用yolov5模型和deepsort算法的车辆检测项目，附带处理好的数据集
Vehicle-Tracking
Include Vehicle Detection, Vehicle Tracking, Distance Estimate, Speed Estimate, Line Detection
Smart_Construction
Base on YOLOv5 Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
yolov5-comment
yolov5的注释版本
YOLOv4-pytorch
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Yolov5-distillation-train-inference
Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据
yolov3-channel-and-layer-pruning
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏
SORT-Multiple-Car-Tracking-using-YOLOv5
This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.
deepsort-yolov5-car
deepsort结合yolov5测试现实中小车经过的时间和速度，判断是不是存在超速行为，并将结果通过rabbitmq输出
Vehicle-Identification-Speed-Detection
Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file. VISD can also perform vehicle speed detection on a video. All these features of VSID are provided to the user using a Web Application which is created using Flask
vehicle-speed-detection
Detect speed of vehicles on multi-lane highways.
yolov5-master0
在yolov5源码的基础上增加了标记和处理数据集的功能，使用可参考 https://blog.csdn.net/oJiWuXuan/article/details/107558286