Adjustments to latent_space_playground
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@ -152,8 +152,8 @@ if __name__ == "__main__":
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resample_imgs = []
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img_files = glob(imgs_to_resample_pattern)
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for i, img_file in enumerate(img_files):
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#if i > 5:
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# break
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if i > 5:
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break
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t = image_2_tensor(img_file, desired_size).to(model.env['device'])
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if resample_factor != 1:
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t = F.interpolate(t, scale_factor=resample_factor, mode="bicubic")
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@ -175,7 +175,7 @@ if __name__ == "__main__":
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dt_transfers = [image_2_tensor(i, desired_size) for i in dt_imgs]
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# Downsample the images because they are often just too big to feed through the network (probably needs to be parameterized)
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for j in range(len(dt_transfers)):
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if max(dt_transfers[j].shape[2], dt_transfers[j].shape[3]) > 2000:
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if min(dt_transfers[j].shape[2], dt_transfers[j].shape[3]) > 1600:
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dt_transfers[j] = F.interpolate(dt_transfers[j], scale_factor=1/2, mode='area')
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corruptor = ImageCorruptor({'fixed_corruptions':['jpeg-low', 'gaussian_blur_5']})
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