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README.md

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+title: EDSR Keras
+emoji: 🚀
+colorFrom: pink
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.0.9
+app_file: app.py
+pinned: false
 license: mit
 ---
+
+This space is the demo for the EDSR (Enhanced Deep Residual Networks for Single Image Super-Resolution) model. This model surpassed the performace of the current available SOTA models.
+
+Paper Link - https://arxiv.org/pdf/1707.02921
+
+Keras Example link - https://keras.io/examples/vision/edsr/
+
+
+TODO:
+
+Hack to make this work for any image size. Currently the model takes input of image size 150 x 150.
+We pad the input image with transparant pixels so that it is a square image, which is a multiple of 150 x 150
+Then we chop the image into multiple 150 x 150 sub images
+Upscale it and stich it together.
+
+The output image might look a bit off, because each sub-image dosent have data about other sub-images.
+This approach assumes that the subimage has enough data about its surroundings

requirements.txt

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+scikit-image
+tensorflow
+keras

trained.h5

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