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.

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