https://github.com/msparihar/video-super-resolution-using-gfpgan

This project utilizes the GFPGAN model to upscale videos, enhancing their visual quality. The process involves providing a video input, upscaling the video frame by frame using GFPGAN, and allowing users to download the enhanced videos.
https://github.com/msparihar/video-super-resolution-using-gfpgan

Last synced: 10 months ago
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This project utilizes the GFPGAN model to upscale videos, enhancing their visual quality. The process involves providing a video input, upscaling the video frame by frame using GFPGAN, and allowing users to download the enhanced videos.

• Host: GitHub
• URL: https://github.com/msparihar/video-super-resolution-using-gfpgan
• Owner: Msparihar
• Created: 2023-12-05T09:05:23.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-08-20T19:47:08.000Z (almost 2 years ago)
• Last Synced: 2024-08-20T21:49:35.100Z (almost 2 years ago)
• Language: Jupyter Notebook
• Size: 17.9 MB
• Stars: 5
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Video Super Resolution with GFPGAN

This project utilizes the GFPGAN model to upscale videos, enhancing their visual quality. The process involves providing a video input, upscaling the video frame by frame using GFPGAN, and allowing users to download the enhanced videos.

![sample_output_2](https://github.com/Msparihar/Video-Super-Resolution-using-GFPGAN/assets/75237981/3d097a1b-b535-49ad-b59f-04e73348f219)

## Steps to Use the Colab Notebook

1. **Upload Video:**

   - Open the provided Colab notebook in your Google Colab environment.

   - Run the notebook cell that handles video uploads.

2. **GFPGAN Video Upscaling:**

   - Run the cell that uses GFPGAN to upscale the video frames.

   - The script extracts frames from the uploaded video, upscales each frame using GFPGAN, and saves the enhanced frames.

3. **Download Enhanced Video:**

   - After GFPGAN processing is complete, the enhanced video frames are available in the specified output directory.

   - Download the upscaled video directly from the Colab environment.

4. **Compare Sample Images:**

   - The `comparison` folder contains two sample images: one before GFPGAN upscaling and the other after.

   - View and compare these images to observe the enhancement achieved by GFPGAN.

## Contact

If you have any questions or feedback, please feel free to contact me at:

**Email:** manishsparihar2020@gmail.com