Run a script like test.py or main.py on your own low-resolution images to generate enhanced versions. 5. Conclusion & Future Work

Mention potential improvements, such as moving to (Enhanced SRGAN) for even sharper results.

Common datasets used for training include DIV2K (high-quality photographs) or Flickr25k.

Most SRGAN implementations use PyTorch or TensorFlow/TensorLayer .

Images are usually downscaled by a factor of 4x (e.g., from 96x96 to 24x24) for the generator to practice upscaling. 4. How to Use the srganzo1.rar Files

To document the usage of your specific RAR file, you should include these steps: Extract the contents to a working directory.

Place the pre-trained model weights (often .pth or .ckpt files) into a designated /models folder.