{"id":26369865,"url":"https://github.com/msparihar/video-super-resolution-using-gfpgan","last_synced_at":"2025-08-31T15:05:11.592Z","repository":{"id":210867354,"uuid":"727633940","full_name":"Msparihar/Video-Super-Resolution-using-GFPGAN","owner":"Msparihar","description":"This project utilizes the GFPGAN model to upscale videos, enhancing their visual quality. 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The process involves providing a video input, upscaling the video frame by frame using GFPGAN, and allowing users to download the enhanced videos.\n\n![sample_output_2](https://github.com/Msparihar/Video-Super-Resolution-using-GFPGAN/assets/75237981/3d097a1b-b535-49ad-b59f-04e73348f219)\n\n## Steps to Use the Colab Notebook\n\n1. **Upload Video:**\n   - Open the provided Colab notebook in your Google Colab environment.\n   - Run the notebook cell that handles video uploads.\n\n2. **GFPGAN Video Upscaling:**\n   - Run the cell that uses GFPGAN to upscale the video frames.\n   - The script extracts frames from the uploaded video, upscales each frame using GFPGAN, and saves the enhanced frames.\n\n3. **Download Enhanced Video:**\n   - After GFPGAN processing is complete, the enhanced video frames are available in the specified output directory.\n   - Download the upscaled video directly from the Colab environment.\n\n4. **Compare Sample Images:**\n   - The `comparison` folder contains two sample images: one before GFPGAN upscaling and the other after.\n   - View and compare these images to observe the enhancement achieved by GFPGAN.\n\n## Contact\n\nIf you have any questions or feedback, please feel free to contact me at:\n\n**Email:** manishsparihar2020@gmail.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsparihar%2Fvideo-super-resolution-using-gfpgan","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmsparihar%2Fvideo-super-resolution-using-gfpgan","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmsparihar%2Fvideo-super-resolution-using-gfpgan/lists"}