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update formatting in README
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super_resolution/README.md

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This example trains a super-resolution network on the [BSD300 dataset](https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/), using crops from the 200 training images, and evaluating on crops of the 100 test images. A snapshot of the model after every epoch with filename model_epoch_<epoch_number>.pth
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##Example Usage:
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## Example Usage:
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### Train
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###Train
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`python main.py --upscale_factor 3 --batchSize 4 --testBatchSize 100 --nEpochs 30 --lr 0.001`
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###Super Resolve
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### Super Resolve
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`python super_resolve.py --input_image dataset/BSDS300/images/test/16077.jpg --model model_epoch_500.pth --output_filename out.png`

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