{"id":16516998,"url":"https://github.com/wazzabeee/image-video-colorization","last_synced_at":"2025-10-28T05:31:19.300Z","repository":{"id":184256813,"uuid":"650253851","full_name":"Wazzabeee/image-video-colorization","owner":"Wazzabeee","description":"Colorize your black and white images and YouTube videos for free. 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To this end, I have taken up the GitHub project of [Richard Zhang and his co-authors](https://github.com/richzhang/colorization) with models and papers presented at ECCV16 and SIGGRAPH17. Their solutions are based on convolutional neural networks.\n\nThe interface for the models was designed on Streamlit and deployed in a [Space on Hugging Face](https://huggingface.co/spaces/Wazzzabeee/image-video-colorization).\n\nThe tutorial with all the design steps is available on my [Medium blog](https://medium.com/geekculture/creating-a-web-app-to-colorize-images-and-youtube-videos-80f5be2d0f68).\n\nThe following features are available:\n- Colorization of a batch of images.\n- Colorization of MP4, MKV and AVI video files.\n- Colorization of Youtube videos.\n\n## Interface\n\u003cimg src=\"interface.gif\"/\u003e\n\n## Running Locally\nIf you want to process longer videos and you're limited by the Hugging Face space memory's limits, you can run this app locally.\n\n`ffmpeg.exe` is needed to run this app, you can install it using `brew install ffmpeg` and update the `IMAGEIO_FFMPEG_EXE` environment variable accordingly.\n\n```bash\ngit clone https://github.com/Wazzabeee/image-video-colorization\ncd image-video-colorization\npip install -r requirements.txt\nstreamlit run 01_📼_Upload_Video_File.py\n```\n\n## Todos\nOther models based on GANs will probably be implemented in the future if my application for a community grant to gain access to a GPU on Hugging Face is successful.\n\n## References\n1. Richard Zhang, Phillip Isola et Alexei A Efros. « Colorful Image Colorization ». In : ECCV. 2016.\n2. Richard Zhang et al. « Real-Time User-Guided Image Colorization with Learned Deep Priors ». In : ACM\nTransactions on Graphics (TOG) 9.4 (2017).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwazzabeee%2Fimage-video-colorization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwazzabeee%2Fimage-video-colorization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwazzabeee%2Fimage-video-colorization/lists"}