Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward.
Implement with python=3.x https://github.com/KaiyangZhou/pytorch-vsumm-reinforce
python=3.x
Pytorch
GPU
tabulate
git clone https://github.com/TorRient/Video-Summarization-Pytorch
cd Video-Summarization-Pytorch
mkdir dataset- Prepare dataset
Put your videos in folder dataset
python create_data.py --input dataset --output dataset/data.h5- Make splits
python create_split.py -d dataset/data.h5 --save-dir dataset --save-name splits --num-splits 5python train_video_summarisation.py -d dataset/data.h5python video_summary.py --input path-to-videoVideo summarization will be saved folder output/