A Python and Keras implementation for classifying human arm poses
Trained using the InceptionV3 model on a custom image dataset of 36 different positions.
- Requires the Openpose Python API to be properly installed
- Place this project in the compiled OpenPose directory e.g. 'C:/openpose-master/Release/python/openpose/this_project'
- Be sure to replace the existing openpose.py with this project
- Download the model from ... and place it in the 'model' folder
Run 'openpose.py' (on line 416 change use_webcam to true if you want to run through a webcam or image_dir to your own directory to run through a folder of images)
InceptionV3 performance on the test data:
Statististic | Score |
---|---|
Accuracy | 0.999 |
The human-pose estimation was made possible thanks to: https://github.com/CMU-Perceptual-Computing-Lab/openpose