G_ESRGAN

Both image and video capable ESRGAN model

Weights can be found in release After downloading it, put it in the weights folder.

Colab Page:

🚀 Usage of GAN model:

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For the images, (PNG, JPG and any extension with cv2 library can handle)

    python Image_GAN.py --image-path example.png

For the Videos, (Just mp4)

    python Video_GAN.py --video-path example.mp4

• Results will be in output folder after the processing

• Video results might be slow about 360p and above

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🚀 Here are some results images and videos

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Ex2.mp4

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As a result of the GAN models' training dataset, inference results tend to perform better, particularly when dealing with images that include anime or other forms of artificial imagery, like CGI.

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