YOLO-Pose:https://github.com/TexasInstruments/edgeai-yolov5 YOLO-POSE was used for key point detection, Bytetrack for tracking, and STGCN for fall and other behavior recognition. | | Key point detection, run the command below: python detect.py --weights "yolov5m_pose_960_lite.pt" --...
YOLOv7-POSE was used for key point detection, Bytetrack for tracking, and Stgan for fall and other behavior recognition - YOLOv7-Pose-Bytetrack-STGCN/train.py at main · Bigtuo/YOLOv7-Pose-Bytetrack-STGCN
However, this method ignores the pose factor of the bull face and only focuses on the positive bull face, which requires a lot of image acquisition work in the early stage and is difficult to apply in practice. Cai et al. [23] used LBP operators to extract cow face image features and ...
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YOLOv7-POSE was used for key point detection, Bytetrack for tracking, and Stgan for fall and other behavior recognition - YOLOv7-Pose-Bytetrack-STGCN/cfg at main · Bigtuo/YOLOv7-Pose-Bytetrack-STGCN
YOLO-Pose:https://github.com/TexasInstruments/edgeai-yolov5 YOLO-POSE was used for key point detection, Bytetrack for tracking, and STGCN for fall and other behavior recognition. | | Key point detection, run the command below: python detect.py --weights "yolov5m_pose_960_lite.pt" --...
YOLO-POSE was used for key point detection, Bytetrack for tracking, and STGCN for fall and other behavior recognition - marenan/YOLO-POSE-Bytetrack-STGCN
This phenomenon can be analyzed from two perspectives: Performance Analysis of Mainstream Detectors: In real-world scenarios, small objects often appear as blurry shapes due to low resolution, with considerable variations in pose even within the same class. For instance, pedestrians, vehicles, ...