latest.zip
Browse files
anydoor/run_inference_train_x.py
CHANGED
@@ -256,7 +256,7 @@ if __name__ == '__main__':
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os.makedirs(save_dir)
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# Create list of cloth image names
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cloth_image_names = os.listdir(cloth_dir)[:
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# First loop for the top half
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for cloth_image_name in cloth_image_names:
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@@ -288,13 +288,13 @@ if __name__ == '__main__':
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# Update the cloth directory and mask path for the bottom half processing
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fixed_ref_mask_path = os.path.join(image_parse_v3_dir, 'trou1.png')
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cloth_image_names = os.listdir(
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# Second loop for the bottom half
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for cloth_image_name in cloth_image_names:
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cloth_image_path = os.path.join(
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cloth_mask_path = os.path.join(cloth_mask_dir, cloth_image_name)
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cloth_image = cv2.imread(cloth_image_path)
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@@ -304,7 +304,7 @@ if __name__ == '__main__':
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ref_image = cv2.imread(fixed_ref_image_path)
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ref_image = cv2.cvtColor(ref_image, cv2.COLOR_BGR2RGB)
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ref_mask = Image.open(fixed_ref_mask_path).convert('P')
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ref_mask = np.array(ref_mask) ==
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gen_image = inference_single_image(cloth_image, cloth_mask, ref_image, ref_mask)
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gen_path = os.path.join(save_dir, 'gen_pant_' + cloth_image_name)
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@@ -318,5 +318,5 @@ if __name__ == '__main__':
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# Replace the resizing and padding code for the bottom half
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bottom_image_path = os.path.join(save_dir, 'bottom_z_' + cloth_image_name)
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bottom_half_cropped = resize_and_crop(gen_image, 512,
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cv2.imwrite(bottom_image_path, cv2.cvtColor(bottom_half_cropped, cv2.COLOR_RGB2BGR))
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os.makedirs(save_dir)
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# Create list of cloth image names
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cloth_image_names = os.listdir(cloth_dir)[:40]
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# First loop for the top half
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for cloth_image_name in cloth_image_names:
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# Update the cloth directory and mask path for the bottom half processing
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cloth_dir1 = '/work/pink_girl/cloth/trou'
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fixed_ref_mask_path = os.path.join(image_parse_v3_dir, 'trou1.png')
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cloth_image_names = os.listdir(cloth_dir1)[:40]
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# Second loop for the bottom half
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for cloth_image_name in cloth_image_names:
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cloth_image_path = os.path.join(cloth_dir1, cloth_image_name)
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cloth_mask_path = os.path.join(cloth_mask_dir, cloth_image_name)
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cloth_image = cv2.imread(cloth_image_path)
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ref_image = cv2.imread(fixed_ref_image_path)
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ref_image = cv2.cvtColor(ref_image, cv2.COLOR_BGR2RGB)
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ref_mask = Image.open(fixed_ref_mask_path).convert('P')
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ref_mask = np.array(ref_mask) == 1
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gen_image = inference_single_image(cloth_image, cloth_mask, ref_image, ref_mask)
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gen_path = os.path.join(save_dir, 'gen_pant_' + cloth_image_name)
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# Replace the resizing and padding code for the bottom half
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bottom_image_path = os.path.join(save_dir, 'bottom_z_' + cloth_image_name)
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bottom_half_cropped = resize_and_crop(gen_image, 512, 700, False, True)
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cv2.imwrite(bottom_image_path, cv2.cvtColor(bottom_half_cropped, cv2.COLOR_RGB2BGR))
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adbase-step=48745.ckpt → latest.zip
RENAMED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2dff0561936fc60ed86ab1c4da9a2654a43e98228c15d84fe189d2bfd3952ce
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size 109296642
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