Openpose
This asset implements Openpose, a widely used open-source human pose estimation algorithm, as a containerized gRPC service.
Image by Ginés Hidalgo
Developed by
License
Other
Freely available for non-commercial use: see external link below.
Main Characteristic
'Openpose', human pose estimation algorithm, has been implemented using Tensorflow. It also provides several variants that have some changes to the network structure for real-time processing on the CPU or low-power embedded devices.
Research areas
Physical AI
Technical Categories
Computer vision
Last updated
28.06.2021 - 12:54
Detailed Description
Additional information: This asset implements builds on the code published by its authors in the GiHub Repository https://github.com/CMU-Perceptual-Computing-Lab/openpose. It runs as a containerized gRPC service and complies with the standards defined for the AI4EU Experiments platform.
External links:
- Github repo of this port: https://github.com/DuarteMRAlves/open-pose-grpc-service/
- Original repo with more details: https://github.com/CMU-Perceptual-Computing-Lab/openpose
- Original license: https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE
Trustworthy AI
N/A.
GDPR Requirements
N/A.