Update app.py
Browse files
app.py
CHANGED
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@@ -178,19 +178,21 @@ if __name__ == "__main__":
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#apply seamlessClone technique here
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#img_base
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dict = dict['background'].convert("RGB").resize((384, 512))
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dict = np.array(dict)
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dict = cv2.cvtColor(dict, cv2.COLOR_RGB2BGR)
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#img_output
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img_cv = rearrange(x_checked_image_torch[0], 'c h w -> h w c').cpu().numpy()
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img_cv = (img_cv * 255)
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img_cv = cv2.cvtColor(img_cv, cv2.COLOR_RGB2BGR)
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#mask
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mask_cv = mask_cv.convert("L").resize((384,512))
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mask_cv = np.array(mask_cv)
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mask_cv = 255-mask_cv
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img_C = cv2.seamlessClone(dict, img_cv, mask_cv, (192, 256), cv2.NORMAL_CLONE)
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img_C = cv2.cvtColor(img_C, cv2.COLOR_BGR2RGB)
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#apply seamlessClone technique here
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#img_base
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dict = dict['background'].convert("RGB").resize((384, 512))
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dict = np.array(dict).astype(np.uint8)
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dict = cv2.cvtColor(dict, cv2.COLOR_RGB2BGR)
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#img_output
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img_cv = rearrange(x_checked_image_torch[0], 'c h w -> h w c').cpu().numpy()
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img_cv = (img_cv * 255).astype(np.uint8)
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img_cv = cv2.cvtColor(img_cv, cv2.COLOR_RGB2BGR)
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#mask
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mask_cv = mask_cv.convert("L").resize((384,512))
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mask_cv = np.array(mask_cv)
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mask_cv = 255-mask_cv
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#Normalize mask to binary values
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_, mask_cv = cv2.threshold(mask_cv, 128, 255, cv2.THRESH_BINARY)
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img_C = cv2.seamlessClone(dict, img_cv, mask_cv, (192, 256), cv2.NORMAL_CLONE)
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img_C = cv2.cvtColor(img_C, cv2.COLOR_BGR2RGB)
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