NIRVANALAN commited on
Commit
d737bfb
1 Parent(s): 3791ac5
Files changed (3) hide show
  1. app.py +2 -0
  2. configs/i23d_args.json +1 -1
  3. nsr/train_util_diffusion.py +2 -1
app.py CHANGED
@@ -369,6 +369,8 @@ def main(args):
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  """
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  )
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  submit.click(fn=check_input_image, inputs=[input_image]).success(
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  fn=preprocess,
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  inputs=[input_image, preprocess_background],
 
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  """
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  )
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+ gr.Markdown(_CITE_)
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+
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  submit.click(fn=check_input_image, inputs=[input_image]).success(
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  fn=preprocess,
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  inputs=[input_image, preprocess_background],
configs/i23d_args.json CHANGED
@@ -11,7 +11,7 @@
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  "ddpm_model_path": "",
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  "cldm_model_path": "",
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  "rec_model_path": "",
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- "logdir": "./logs/LSGM/inference/Objaverse/i23d/dit-L2/",
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  "data_dir": "NONE",
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  "eval_data_dir": "/cpfs01/user/lanyushi.p/Repo/eccv24/open-source/InstantMesh/test_dir",
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  "eval_batch_size": 1,
 
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  "ddpm_model_path": "",
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  "cldm_model_path": "",
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  "rec_model_path": "",
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+ "logdir": "./",
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  "data_dir": "NONE",
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  "eval_data_dir": "/cpfs01/user/lanyushi.p/Repo/eccv24/open-source/InstantMesh/test_dir",
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  "eval_batch_size": 1,
nsr/train_util_diffusion.py CHANGED
@@ -331,7 +331,8 @@ class TrainLoopDiffusionWithRec(TrainLoop):
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  ],
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  dim=-1) # B, 3, H, W
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- if save_img:
 
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  for batch_idx in range(gen_img.shape[0]):
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  sampled_img = Image.fromarray(
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  (gen_img[batch_idx].permute(1, 2, 0).cpu().numpy() *
 
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  ],
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  dim=-1) # B, 3, H, W
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+ if False:
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+ # if save_img:
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  for batch_idx in range(gen_img.shape[0]):
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  sampled_img = Image.fromarray(
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  (gen_img[batch_idx].permute(1, 2, 0).cpu().numpy() *