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DeepMC-DCVCDeepMC-DCVC
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DCVC
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‎.gitignore

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*.pyc
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.vscode/
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*.bin
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*.png
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*.so
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build/

‎README.md

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# Introduction
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Official Pytorch implementation for [Deep Contextual Video Compression](https://proceedings.neurips.cc/paper/2021/file/96b250a90d3cf0868c83f8c965142d2a-Paper.pdf), NeurIPS 2021
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# Prerequisites
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* Python 3.8 and conda, get [Conda](https://www.anaconda.com/)
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* CUDA 11.0
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* Environment
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```
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conda create -n $YOUR_PY38_ENV_NAME python=3.8
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conda activate $YOUR_PY38_ENV_NAME
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pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
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python -m pip install -r requirements.txt
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```
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# Test dataset
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Currenlty the spatial resolution of video needs to be cropped into the integral times of 64.
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The dataset format can be seen in dataset_config_example.json.
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For example, one video of HEVC Class B can be prepared as:
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* Crop the original YUV via ffmpeg:
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```
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ffmpeg -pix_fmt yuv420p -s 1920x1080 -i BasketballDrive_1920x1080_50.yuv -vf crop=1920:1024:0:0 BasketballDrive_1920x1024_50.yuv
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```
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* Make the video path:
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```
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mkdir BasketballDrive_1920x1024_50
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```
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* Convert YUV to PNG:
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```
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ffmpeg -pix_fmt yuv420p -s 1920x1024 -i BasketballDrive_1920x1024_50.yuv -f image2 BasketballDrive_1920x1024_50/im%05d.png
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```
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At last, the folder structure of dataset is like:
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/media/data/HEVC_B/
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* BQTerrace_1920x1024_60/
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- im00001.png
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- im00002.png
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- im00003.png
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- ...
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* BasketballDrive_1920x1024_50/
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- im00001.png
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- im00002.png
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- im00003.png
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- ...
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* ...
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/media/data/HEVC_D
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/media/data/HEVC_C/
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...
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# Pretrained models
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* Download CompressAI models
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```
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cd checkpoints/
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python download_compressai_models.py
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cd ..
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```
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* Download [DCVC models](https://1drv.ms/u/s!AozfVVwtWWYoiS5mcGX320bFXI0k?e=iMeykH) and put them into /checkpoints folder.
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# Test DCVC
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Example of test the PSNR model:
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```bash
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python test_video.py --i_frame_model_name cheng2020-anchor --i_frame_model_path checkpoints/cheng2020-anchor-3-e49be189.pth.tar checkpoints/cheng2020-anchor-4-98b0b468.pth.tar checkpoints/cheng2020-anchor-5-23852949.pth.tar checkpoints/cheng2020-anchor-6-4c052b1a.pth.tar --test_config dataset_config_example.json --cuda true --cuda_device 0,1,2,3 --worker 4 --output_json_result_path DCVC_result_psnr.json --model_type psnr --recon_bin_path recon_bin_folder_psnr --model_path checkpoints/model_dcvc_quality_0_psnr.pth checkpoints/model_dcvc_quality_1_psnr.pth checkpoints/model_dcvc_quality_2_psnr.pth checkpoints/model_dcvc_quality_3_psnr.pth
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```
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Example of test the MSSSIM model:
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```bash
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python test_video.py --i_frame_model_name bmshj2018-hyperprior --i_frame_model_path checkpoints/bmshj2018-hyperprior-ms-ssim-3-92dd7878.pth.tar checkpoints/bmshj2018-hyperprior-ms-ssim-4-4377354e.pth.tar checkpoints/bmshj2018-hyperprior-ms-ssim-5-c34afc8d.pth.tar checkpoints/bmshj2018-hyperprior-ms-ssim-6-3a6d8229.pth.tar --test_config dataset_config_example.json --cuda true --cuda_device 0,1,2,3 --worker 4 --output_json_result_path DCVC_result_msssim.json --model_type msssim --recon_bin_path recon_bin_folder_msssim --model_path checkpoints/model_dcvc_quality_0_msssim.pth checkpoints/model_dcvc_quality_1_msssim.pth checkpoints/model_dcvc_quality_2_msssim.pth checkpoints/model_dcvc_quality_3_msssim.pth
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```
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It is recommended that the ```--worker``` number is equal to your GPU number.
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# Acknowledgement
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The implementation is based on [CompressAI](https://github.com/InterDigitalInc/CompressAI) and [PyTorchVideoCompression](https://github.com/ZhihaoHu/PyTorchVideoCompression). The model weights of intra coding come from [CompressAI](https://github.com/InterDigitalInc/CompressAI).
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# Citation
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If you find this work useful for your research, please cite:
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```
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@article{li2021deep,
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title={Deep Contextual Video Compression},
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author={Li, Jiahao and Li, Bin and Lu, Yan},
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journal={Advances in Neural Information Processing Systems},
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volume={34},
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year={2021}
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}
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```

‎checkpoints/download_compressai_models.py

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import urllib.request
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# The model weights of intra coding come from CompressAI.
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root_url = "https://compressai.s3.amazonaws.com/models/v1/"
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model_names = [
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"bmshj2018-hyperprior-ms-ssim-3-92dd7878.pth.tar",
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"bmshj2018-hyperprior-ms-ssim-4-4377354e.pth.tar",
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"bmshj2018-hyperprior-ms-ssim-5-c34afc8d.pth.tar",
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"bmshj2018-hyperprior-ms-ssim-6-3a6d8229.pth.tar",
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"cheng2020-anchor-3-e49be189.pth.tar",
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"cheng2020-anchor-4-98b0b468.pth.tar",
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"cheng2020-anchor-5-23852949.pth.tar",
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"cheng2020-anchor-6-4c052b1a.pth.tar",
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]
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for model in model_names:
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print(f"downloading {model}")
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urllib.request.urlretrieve(root_url+model, model)

‎dataset_config_example.json

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{
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"HEVC_B": {
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"base_path": "/media/data/HEVC_B",
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"sequences": {
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"BQTerrace_1920x1024_60": {"frames": 100, "gop": 10},
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"BasketballDrive_1920x1024_50": {"frames": 100, "gop": 10},
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"Cactus_1920x1024_50": {"frames": 100, "gop": 10},
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"Kimono1_1920x1024_24": {"frames": 100, "gop": 10},
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"ParkScene_1920x1024_24": {"frames": 100, "gop": 10}
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}
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},
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"HEVC_C": {
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"base_path": "/media/data/HEVC_C",
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"sequences": {
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"BQMall_832x448_60": {"frames": 100, "gop": 10},
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"BasketballDrill_832x448_50": {"frames": 100, "gop": 10},
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"PartyScene_832x448_50": {"frames": 100, "gop": 10},
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"RaceHorses_832x448_30": {"frames": 100, "gop": 10}
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}
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},
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"HEVC_D": {
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"base_path": "/media/data/HEVC_D",
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"sequences": {
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"BasketballPass_384x192_50": {"frames": 100, "gop": 10},
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"BlowingBubbles_384x192_50": {"frames": 100, "gop": 10},
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"BQSquare_384x192_50": {"frames": 100, "gop": 10},
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"RaceHorses_384x192_50": {"frames": 100, "gop": 10}
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}
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},
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"HEVC_E": {
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"base_path": "/media/data/HEVC_E",
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"sequences": {
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"FourPeople_1280x704_60": {"frames": 100, "gop": 10},
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"Johnny_1280x704_60": {"frames": 100, "gop": 10},
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"KristenAndSara_1280x704_60": {"frames": 100, "gop": 10}
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}
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},
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"UVG": {
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"base_path": "/media/data/UVGDataSet_crop",
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"sequences": {
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"Beauty_1920x1024_120fps_420_8bit_YUV": {"frames": 120, "gop": 12},
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"Bosphorus_1920x1024_120fps_420_8bit_YUV": {"frames": 120, "gop": 12},
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"HoneyBee_1920x1024_120fps_420_8bit_YUV": {"frames": 120, "gop": 12},
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"Jockey_1920x1024_120fps_420_8bit_YUV": {"frames": 120, "gop": 12},
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"ReadySteadyGo_1920x1024_120fps_420_8bit_YUV": {"frames": 120, "gop": 12},
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"ShakeNDry_1920x1024_120fps_420_8bit_YUV": {"frames": 120, "gop": 12},
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"YachtRide_1920x1024_120fps_420_8bit_YUV": {"frames": 120, "gop": 12}
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}
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},
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"MCL-JCV": {
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"base_path": "/media/data/MCL-JCV",
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"sequences": {
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"videoSRC01_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC02_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC03_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC04_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC05_1920x1024_25": {"frames": 120, "gop": 12},
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"videoSRC06_1920x1024_25": {"frames": 120, "gop": 12},
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"videoSRC07_1920x1024_25": {"frames": 120, "gop": 12},
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"videoSRC08_1920x1024_25": {"frames": 120, "gop": 12},
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"videoSRC09_1920x1024_25": {"frames": 120, "gop": 12},
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"videoSRC10_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC11_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC12_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC13_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC14_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC15_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC16_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC17_1920x1024_24": {"frames": 120, "gop": 12},
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"videoSRC18_1920x1024_25": {"frames": 120, "gop": 12},
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"videoSRC19_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC20_1920x1024_25": {"frames": 120, "gop": 12},
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"videoSRC21_1920x1024_24": {"frames": 120, "gop": 12},
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"videoSRC22_1920x1024_24": {"frames": 120, "gop": 12},
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"videoSRC23_1920x1024_24": {"frames": 120, "gop": 12},
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"videoSRC24_1920x1024_24": {"frames": 120, "gop": 12},
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"videoSRC25_1920x1024_24": {"frames": 120, "gop": 12},
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"videoSRC26_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC27_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC28_1920x1024_30": {"frames": 120, "gop": 12},
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"videoSRC29_1920x1024_24": {"frames": 120, "gop": 12},
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"videoSRC30_1920x1024_30": {"frames": 120, "gop": 12}
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}
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}
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}

‎requirements.txt

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numpy
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scipy
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matplotlib
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Pillow
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pytorch-msssim
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tqdm

‎src/cpp/3rdparty/CMakeLists.txt

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add_subdirectory(pybind11)
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add_subdirectory(ryg_rans)

‎src/cpp/3rdparty/pybind11/CMakeLists.txt

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# set(PYBIND11_PYTHON_VERSION 3.8 CACHE STRING "")
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configure_file(CMakeLists.txt.in pybind11-download/CMakeLists.txt)
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execute_process(COMMAND ${CMAKE_COMMAND} -G "${CMAKE_GENERATOR}" .
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RESULT_VARIABLE result
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WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/pybind11-download )
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if(result)
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message(FATAL_ERROR "CMake step for pybind11 failed: ${result}")
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endif()
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execute_process(COMMAND ${CMAKE_COMMAND} --build .
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RESULT_VARIABLE result
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WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/pybind11-download )
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if(result)
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message(FATAL_ERROR "Build step for pybind11 failed: ${result}")
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endif()
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add_subdirectory(${CMAKE_CURRENT_BINARY_DIR}/pybind11-src/
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${CMAKE_CURRENT_BINARY_DIR}/pybind11-build/
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EXCLUDE_FROM_ALL)
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set(PYBIND11_INCLUDE
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${CMAKE_CURRENT_BINARY_DIR}/pybind11-src/include/
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CACHE INTERNAL "")

‎src/cpp/3rdparty/pybind11/CMakeLists.txt.in

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cmake_minimum_required(VERSION 3.6.3)
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project(pybind11-download NONE)
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include(ExternalProject)
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if(IS_DIRECTORY "${PROJECT_BINARY_DIR}/3rdparty/pybind11/pybind11-src/include")
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ExternalProject_Add(pybind11
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GIT_REPOSITORY https://github.com/pybind/pybind11.git
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GIT_TAG v2.6.1
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GIT_SHALLOW 1
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SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}/pybind11-src"
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BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/pybind11-build"
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DOWNLOAD_COMMAND ""
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UPDATE_COMMAND ""
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CONFIGURE_COMMAND ""
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BUILD_COMMAND ""
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INSTALL_COMMAND ""
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TEST_COMMAND ""
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)
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else()
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ExternalProject_Add(pybind11
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GIT_REPOSITORY https://github.com/pybind/pybind11.git
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GIT_TAG v2.6.1
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GIT_SHALLOW 1
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SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}/pybind11-src"
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BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/pybind11-build"
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UPDATE_COMMAND ""
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CONFIGURE_COMMAND ""
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BUILD_COMMAND ""
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INSTALL_COMMAND ""
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TEST_COMMAND ""
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)
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endif()

‎src/cpp/3rdparty/ryg_rans/CMakeLists.txt

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configure_file(CMakeLists.txt.in ryg_rans-download/CMakeLists.txt)
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execute_process(COMMAND ${CMAKE_COMMAND} -G "${CMAKE_GENERATOR}" .
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RESULT_VARIABLE result
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WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-download )
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if(result)
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message(FATAL_ERROR "CMake step for ryg_rans failed: ${result}")
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endif()
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execute_process(COMMAND ${CMAKE_COMMAND} --build .
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RESULT_VARIABLE result
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WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-download )
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if(result)
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message(FATAL_ERROR "Build step for ryg_rans failed: ${result}")
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endif()
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# add_subdirectory(${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-src/
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# ${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-build
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# EXCLUDE_FROM_ALL)
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set(RYG_RANS_INCLUDE
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${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-src/
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CACHE INTERNAL "")

‎src/cpp/3rdparty/ryg_rans/CMakeLists.txt.in

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cmake_minimum_required(VERSION 3.6.3)
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project(ryg_rans-download NONE)
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include(ExternalProject)
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if(EXISTS "${PROJECT_BINARY_DIR}/3rdparty/ryg_rans/ryg_rans-src/rans64.h")
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ExternalProject_Add(ryg_rans
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GIT_REPOSITORY https://github.com/rygorous/ryg_rans.git
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GIT_TAG c9d162d996fd600315af9ae8eb89d832576cb32d
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GIT_SHALLOW 1
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SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-src"
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BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-build"
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DOWNLOAD_COMMAND ""
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UPDATE_COMMAND ""
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CONFIGURE_COMMAND ""
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BUILD_COMMAND ""
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INSTALL_COMMAND ""
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TEST_COMMAND ""
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)
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else()
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ExternalProject_Add(ryg_rans
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GIT_REPOSITORY https://github.com/rygorous/ryg_rans.git
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GIT_TAG c9d162d996fd600315af9ae8eb89d832576cb32d
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GIT_SHALLOW 1
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SOURCE_DIR "${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-src"
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BINARY_DIR "${CMAKE_CURRENT_BINARY_DIR}/ryg_rans-build"
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UPDATE_COMMAND ""
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CONFIGURE_COMMAND ""
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BUILD_COMMAND ""
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INSTALL_COMMAND ""
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TEST_COMMAND ""
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)
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endif()

‎src/cpp/CMakeLists.txt

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cmake_minimum_required (VERSION 3.6.3)
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project (ErrorRecovery)
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set(CMAKE_CONFIGURATION_TYPES "Debug;Release;RelWithDebInfo" CACHE STRING "" FORCE)
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set(CMAKE_CXX_STANDARD 17)
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set(CMAKE_CXX_STANDARD_REQUIRED ON)
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set(CMAKE_CXX_EXTENSIONS OFF)
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# treat warning as error
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if (MSVC)
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add_compile_options(/W4 /WX)
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else()
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add_compile_options(-Wall -Wextra -pedantic -Werror)
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endif()
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# The sequence is tricky, put 3rd party first
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add_subdirectory(3rdparty)
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add_subdirectory (ops)
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add_subdirectory (rans)

‎src/cpp/ops/CMakeLists.txt

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cmake_minimum_required(VERSION 3.7)
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set(PROJECT_NAME MLCodec_CXX)
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project(${PROJECT_NAME})
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set(cxx_source
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ops.cpp
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)
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set(include_dirs
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${CMAKE_CURRENT_SOURCE_DIR}
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${PYBIND11_INCLUDE}
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)
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pybind11_add_module(${PROJECT_NAME} ${cxx_source})
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target_include_directories (${PROJECT_NAME} PUBLIC ${include_dirs})
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# The post build argument is executed after make!
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add_custom_command(
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TARGET ${PROJECT_NAME} POST_BUILD
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COMMAND
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"${CMAKE_COMMAND}" -E copy
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"$<TARGET_FILE:${PROJECT_NAME}>"
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"${CMAKE_CURRENT_SOURCE_DIR}/../../entropy_models/"
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)

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