yumeng88 Goto Github PK
Type: User
Company: Tianjin University of Science and Technology
Location: Tianjin
Blog: [email protected]
Type: User
Company: Tianjin University of Science and Technology
Location: Tianjin
Blog: [email protected]
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
helmet(hard hat) detection with yolov4
Using YOLOV4 as detector for MCMOT.
YOLOv5 汉化版,保持官方同步更新
基于yolov5实现的B站蒙版弹幕效果
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
Yolov5 distillation training | Yolov5知识蒸馏训练,支持训练自己的数据
Detecting people using yolov5 model and the people were classified as High, Moderate and Normal based on their distance from one another.
yolov5第四版
Benefit from YOLOv5, we utilize it for multi object tracking.
yolov5剪枝,支持v2,v3,v4版本的yolov5
ROS使用YOLOv5 run YOLOv5 in ROS
Yolov5 with transformers
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