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  1. anydoor/cldm/__pycache__/cldm.cpython-38.pyc +0 -0
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  18. anydoor/dinov2/dinov2/models/__pycache__/vision_transformer.cpython-38.pyc +0 -0
  19. anydoor/ldm/__pycache__/util.cpython-38.pyc +0 -0
  20. anydoor/ldm/models/__pycache__/autoencoder.cpython-38.pyc +0 -0
  21. anydoor/ldm/models/diffusion/__pycache__/__init__.cpython-38.pyc +0 -0
  22. anydoor/ldm/models/diffusion/__pycache__/ddim.cpython-38.pyc +0 -0
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  24. anydoor/ldm/modules/__pycache__/attention.cpython-38.pyc +0 -0
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  26. anydoor/ldm/modules/diffusionmodules/__pycache__/__init__.cpython-38.pyc +0 -0
  27. anydoor/ldm/modules/diffusionmodules/__pycache__/model.cpython-38.pyc +0 -0
  28. anydoor/ldm/modules/diffusionmodules/__pycache__/openaimodel.cpython-38.pyc +0 -0
  29. anydoor/ldm/modules/diffusionmodules/__pycache__/util.cpython-38.pyc +0 -0
  30. anydoor/ldm/modules/distributions/__pycache__/__init__.cpython-38.pyc +0 -0
  31. anydoor/ldm/modules/distributions/__pycache__/distributions.cpython-38.pyc +0 -0
  32. anydoor/ldm/modules/encoders/__pycache__/__init__.cpython-38.pyc +0 -0
  33. anydoor/ldm/modules/encoders/__pycache__/modules.cpython-38.pyc +0 -0
  34. anydoor/run_inference_train_x.py +7 -7
  35. pink_girl/cloth-mask/40000305_0839_1.jpg +0 -0
  36. pink_girl/cloth-mask/40015507_0061_1.jpg +0 -0
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@@ -240,16 +240,16 @@ if __name__ == '__main__':
240
 
241
  # Assuming 'inference_single_image' function is defined elsewhere
242
 
243
- save_dir = '/work/pink_girl/out_arms'
244
  cloth_dir = '/work/pink_girl/cloth/top'
245
  cloth_mask_dir = '/work/pink_girl/cloth-mask'
246
  image_dir = '/work/pink_girl/image'
247
  image_parse_v3_dir = '/work/pink_girl/image-mask'
248
 
249
  # Fixed reference image and its mask
250
- fixed_ref_image_name = 'bra_model_arms.jpg'
251
  fixed_ref_image_path = os.path.join(image_dir, fixed_ref_image_name)
252
- fixed_ref_mask_path = os.path.join(image_parse_v3_dir, 'bra_model_arms.png')
253
 
254
  # # Fixed reference image and its mask
255
  # fixed_ref_image_name = 'bra_model_768.jpg'
@@ -293,13 +293,13 @@ if __name__ == '__main__':
293
 
294
 
295
  # # Update the cloth directory and mask path for the bottom half processing
296
- cloth_dir1 = '/work/pink_girl/cloth/trou'
297
  # fixed_ref_mask_path = os.path.join(image_parse_v3_dir, 'trou1.png')
298
- cloth_image_names = os.listdir(cloth_dir1)[:50]
299
 
300
  # Second loop for the bottom half
301
  for cloth_image_name in cloth_image_names:
302
- cloth_image_path = os.path.join(cloth_dir1, cloth_image_name)
303
  cloth_mask_path = os.path.join(cloth_mask_dir, cloth_image_name)
304
 
305
  cloth_image = cv2.imread(cloth_image_path)
@@ -309,7 +309,7 @@ if __name__ == '__main__':
309
  ref_image = cv2.imread(fixed_ref_image_path)
310
  ref_image = cv2.cvtColor(ref_image, cv2.COLOR_BGR2RGB)
311
  ref_mask = Image.open(fixed_ref_mask_path).convert('P')
312
- ref_mask = np.array(ref_mask) == 9
313
 
314
  gen_image = inference_single_image(cloth_image, cloth_mask, ref_image, ref_mask)
315
  gen_path = os.path.join(save_dir, 'gen_pant_' + cloth_image_name)
 
240
 
241
  # Assuming 'inference_single_image' function is defined elsewhere
242
 
243
+ save_dir = '/work/pink_girl/out_bnp'
244
  cloth_dir = '/work/pink_girl/cloth/top'
245
  cloth_mask_dir = '/work/pink_girl/cloth-mask'
246
  image_dir = '/work/pink_girl/image'
247
  image_parse_v3_dir = '/work/pink_girl/image-mask'
248
 
249
  # Fixed reference image and its mask
250
+ fixed_ref_image_name = 'pink_model.jpg'
251
  fixed_ref_image_path = os.path.join(image_dir, fixed_ref_image_name)
252
+ fixed_ref_mask_path = os.path.join(image_parse_v3_dir, 'pink_model_mask.png')
253
 
254
  # # Fixed reference image and its mask
255
  # fixed_ref_image_name = 'bra_model_768.jpg'
 
293
 
294
 
295
  # # Update the cloth directory and mask path for the bottom half processing
296
+ #cloth_dir1 = '/work/pink_girl/cloth/trou'
297
  # fixed_ref_mask_path = os.path.join(image_parse_v3_dir, 'trou1.png')
298
+ cloth_image_names = os.listdir(cloth_dir)[:50]
299
 
300
  # Second loop for the bottom half
301
  for cloth_image_name in cloth_image_names:
302
+ cloth_image_path = os.path.join(cloth_dir, cloth_image_name)
303
  cloth_mask_path = os.path.join(cloth_mask_dir, cloth_image_name)
304
 
305
  cloth_image = cv2.imread(cloth_image_path)
 
309
  ref_image = cv2.imread(fixed_ref_image_path)
310
  ref_image = cv2.cvtColor(ref_image, cv2.COLOR_BGR2RGB)
311
  ref_mask = Image.open(fixed_ref_mask_path).convert('P')
312
+ ref_mask = np.array(ref_mask) == 1
313
 
314
  gen_image = inference_single_image(cloth_image, cloth_mask, ref_image, ref_mask)
315
  gen_path = os.path.join(save_dir, 'gen_pant_' + cloth_image_name)
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