Awesome
dyn_pose
Training and inference code for LSTM-based action recognition model. Online version to be released later.
Steps
- models
- pre-process data: preprocess.py / split.py
- extract pose: extract.py
- train model: train_lstm.py
- evaluate model: infer_lstm.py
- offline demo: example.py
Notes
- modify label_num in model/lstm.config
Utils
- display.ipynb: display pose estimation results
- run.sh: evaluation script
- test.ipynb: miscellaneous
TODO
- reduce spatial net size