3D Pose Estimation in Python for Mobile
Budget: $30 – $250 USD
I'm looking for an expert in Python and computer vision, specifically experienced with HRnet and TCPFormer, to implement a 3D pose estimation system for testing on a mobile application. The primary goal of this project is to create fully functional pipeline for movement tracking on server that connects to mobile app via API.
Key requirements and responsibilities:
- Implement HRnet + TCPFormer based 3D pose estimation in Python.
- Ensure the 3D pose estimation supports precise movement tracking.
- The program should recieve .mp4 video and return json file with frame index and 3D position of all keypoints + confidence (if model provides)
Ideal skills and experience:
- Proficiency in Python with extensive experience in HRnet and TCPFormer.
- Experience with 3D pose estimation technology.
TCPFormer repo:
https://github.com/asukacamellia/tcpformer
HRNET repo:
https://github.com/HRNet/HRNet-Human-Pose-Estimation
Key requirements and responsibilities:
- Implement HRnet + TCPFormer based 3D pose estimation in Python.
- Ensure the 3D pose estimation supports precise movement tracking.
- The program should recieve .mp4 video and return json file with frame index and 3D position of all keypoints + confidence (if model provides)
Ideal skills and experience:
- Proficiency in Python with extensive experience in HRnet and TCPFormer.
- Experience with 3D pose estimation technology.
TCPFormer repo:
https://github.com/asukacamellia/tcpformer
HRNET repo:
https://github.com/HRNet/HRNet-Human-Pose-Estimation