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introduction

This is my research in the project for Dynamic video retrieval. I try to use a sequence of action data (lie algebra data format) within a action label to predict the following frames.The lesser input frames, the longer prediction frames, and the lower MAE, the better.

Multi-scale Human action relation modeling 1 Action encoding method 2 Multi-scale spatio-temporal imfomation exchanging 3

usage

train

python train.py --action walk --dataset Human

predict

python train.py --dataset Human --training False --visualize False --action walk

you can select the actions in the folder './data/h3.6m/Train'

select a checkpoint to perdict a sequence

change the checkpoint_dir & input_data_dir in pre_one.py and run pre_one.py

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