pip install -r requirements.txt -f https://mirror.sjtu.edu.cn/pytorch-wheels/torch_stable.html
Acquire ckpt for mmpose via https://github.com/open-mmlab/mmpose/tree/main/projects/rtmo and put it in ./ckpt
. After that, select the corresponding configuration file, the default configuration is for "rtmo-t_8xb32-600e_body7-416x416-f48f75cb_20231219.pth"
Start server
python -m mediapipe_apiserver serve
Start Client
wscat -c 127.0.0.1:3000/v1/dummy
python ./playground/test_ws_client.py
- [√] update requirements
- raw image api, annotated image API
- client library
- add
__enter__
to camera class that supportswith
context
- A Azure Kinect camera.
- Azure Kinect SDK Installed. See https://learn.microsoft.com/en-us/azure/kinect-dk/sensor-sdk-download.
- A Websocket debug tool, such as
wscat
(Runnpm -g install wscat
to install).
This project is licensed under the MIT License - see the LICENSE file for details.
This project uses MediaPipe, which is licensed under the Apache License 2.0.