PyTorch implementation of "[Infant motor assessment and multi-domain clinical prediction via 3D pose estimation from monocular video"
The project is developed under the following environment:
- Linux
- Python 3.8.18
- PyTorch 1.9.1
- CUDA 11.7
For installation of the project dependencies, please run:
pip install requirements.txt
Please download the dataset here: https://www.iosb.fraunhofer.de/en/competences/image-exploitation/object-recognition/sensor-networks/motion-analysis.html#mini-rgbd.
Please refer to (https://github.com/ostadabbas/Infant-Pose-Estimation) for dataset download and setup.
python demo_image.py
We are currently organizing and cleaning the code before making it fully available to the public.
- comming soon...
Stay tuned for updates, and feel free to ⭐ the repository for notifications!
For the Cerebral Palsy prediction task, please refer to MAM for the network training and testing.
Some code refers to the following repositories:
Thank the authors for releasing their codes.