Video-Summarization-Pytorch：IMPLEMENT AAAI 2018-具有深度强化学习的无监督视频摘要...

# Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward. Implement with python=3.x https://github.com/KaiyangZhou/pytorch-vsumm-reinforce <div align="center"> <img src="img/pipeline.jpg" alt="train" width="80%"> </div> ## Requirement python=3.x Pytorch GPU tabulate ## Get started ```bash git clone https://github.com/TorRient/Video-Summarization-Pytorch cd Video-Summarization-Pytorch mkdir dataset ``` 1. Prepare dataset Put your videos in folder dataset ```bash python create_data.py --input dataset --output dataset/data.h5 ``` 2. Make splits ```bash python create_split.py -d dataset/data.h5 --save-dir dataset --save-name splits --num-splits 5 ``` ## How to train ```bash python train_video_summarisation.py -d dataset/data.h5 ``` ## How to test ```bash python video_summary.py --input path-to-video ``` Video summarization will be saved folder output/