HeadPoseEstimation-WHENet-yolov4-onnx-openvino

ONNX, OpenVINO, TFLite, TensorRT, EdgeTPU, CoreML, TFJS, YOLOv4/YOLOv4-tiny-3L

1. Usage

$ git clone https://github.com/PINTO0309/HeadPoseEstimation-WHENet-yolov4-onnx-openvino
$ cd HeadPoseEstimation-WHENet-yolov4-onnx-openvino
$ wget https://github.com/PINTO0309/HeadPoseEstimation-WHENet-yolov4-onnx-openvino/releases/download/v1.0.0/saved_model_224x224.tar.gz
$ tar -zxvf saved_model_224x224.tar.gz && rm saved_model_224x224.tar.gz

$ python3 demo_video.py

usage: demo_video.py \
[-h] \
[--whenet_mode {onnx,openvino}] \
[--device DEVICE] \
[--height_width HEIGHT_WIDTH]

optional arguments:
  -h, --help
      show this help message and exit
  --whenet_mode {onnx,openvino}
      Choose whether to infer WHENet with ONNX or OpenVINO. Default: onnx
  --device DEVICE
      Path of the mp4 file or device number of the USB camera. Default: 0
  --height_width HEIGHT_WIDTH
      {H}x{W} Default: 480x640

2. Reference

1. https://github.com/Ascend-Research/HeadPoseEstimation-WHENet
2. https://github.com/AlexeyAB/darknet
3. https://github.com/linghu8812/tensorrt_inference
4. https://github.com/jkjung-avt/yolov4_crowdhuman
5. https://github.com/PINTO0309/PINTO_model_zoo
6. https://github.com/PINTO0309/openvino2tensorflow
7. https://zenn.dev/pinto0309/scraps/1849b6909db13b

GitHub - PINTO0309/HeadPoseEstimation-WHENet-yolov4-onnx-openvino at pythonawesome.com

WHENet - ONNX, OpenVINO, TFLite, TensorRT, EdgeTPU, CoreML, TFJS, YOLOv4/YOLOv4-tiny-3L - GitHub - PINTO0309/HeadPoseEstimation-WHENet-yolov4-onnx-openvino at pythonawesome.com

GitHubPINTO0309