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  31. anydoor/configs/inference.yaml +1 -1
  32. anydoor/run_inference.py +0 -2
  33. anydoor/run_inference_train.py +0 -2
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anydoor/configs/inference.yaml CHANGED
@@ -1,3 +1,3 @@
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- pretrained_model: /work/wefa-door-master/anydoor/lightning_logs/version_0/checkpoints/epoch=1-step=1249.ckpt
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  config_file: configs/anydoor.yaml
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  save_memory: False
 
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+ pretrained_model: /work/wefa-door-master/adbase-step=44375.ckpt
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  config_file: configs/anydoor.yaml
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  save_memory: False
anydoor/run_inference.py CHANGED
@@ -30,8 +30,6 @@ model.load_state_dict(load_state_dict(model_ckpt, location='cuda'))
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  model = model.cuda()
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  ddim_sampler = DDIMSampler(model)
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-
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-
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  def aug_data_mask(image, mask):
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  transform = A.Compose([
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  A.HorizontalFlip(p=0.5),
 
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  model = model.cuda()
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  ddim_sampler = DDIMSampler(model)
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  def aug_data_mask(image, mask):
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  transform = A.Compose([
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  A.HorizontalFlip(p=0.5),
anydoor/run_inference_train.py CHANGED
@@ -30,8 +30,6 @@ model.load_state_dict(load_state_dict(model_ckpt, location='cuda'))
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  model = model.cuda()
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  ddim_sampler = DDIMSampler(model)
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-
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-
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  def aug_data_mask(image, mask):
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  transform = A.Compose([
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  A.HorizontalFlip(p=0.5),
 
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  model = model.cuda()
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  ddim_sampler = DDIMSampler(model)
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  def aug_data_mask(image, mask):
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  transform = A.Compose([
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  A.HorizontalFlip(p=0.5),