Open fathyshalaby opened 3 years ago
Could you please tell me which train_size was used or what could be the problem as I followed the README.md exactly.
After some research I found out that there seems to be a problem in the data generation script as the error in rendered.py is thrown as the h.shape!=to_add[xmin:xmin+xsize,ymin:ymin+ysize].shape, which means that the height map or the bbox are calculated wrong for some of the samples. Could you please tell me if this seems to be correct? Are all the scripts up to date as I did notice that there seem to still be some traces of testing in the create_data.py.
Hi fathyshalaby, sorry for the late reply. Because the 3D-FRONT has been updated several versions, and some definition in json file was changed. This code is modified from the original one, I will check the create_data.py.
Hi there, I met the same question when training it. My solution is to simply drop the pixels of the object outside the range, I don't know if it is reasonable?
remote@pop-os:~/repos/autofurnish/external_experiments/scene_synthesis/deep_synth$ python continue_train.py --data-dir bedroom --save-dir bedroom --train-size 160 --use-count Building model... Converting to CUDA... Building dataset... Building data loader... Building optimizer... =========================== Epoch 0 =========================== torch.Size([188, 47]) 54 132 torch.Size([49, 28]) 337 159 torch.Size([202, 202]) 148 344 torch.Size([49, 39]) 441 358 torch.Size([45, 46]) 111 118 torch.Size([4, 56]) 226 173 torch.Size([195, 181]) 175 159 torch.Size([40, 40]) 53 207 torch.Size([185, 202]) 73 152 torch.Size([172, 33]) 329 398 torch.Size([176, 57]) 211 81 torch.Size([2, 2]) 153 225 torch.Size([121, 54]) 77 157 torch.Size([45, 47]) 332 117 torch.Size([163, 182]) 397 358 torch.Size([39, 43]) 393 370 torch.Size([49, 28]) 160 163 torch.Size([183, 201]) 154 108 torch.Size([49, 132]) 434 163 Traceback (most recent call last): File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/continue_train.py", line 206, in
train()
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/continue_train.py", line 136, in train
torch.Size([35, 39]) 131 252
for batch_idx, (data, target, existing) in enumerate(train_loader):
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/.venv_furnish/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 521, in next
torch.Size([51, 183]) 430 117
data = self._next_data()
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/.venv_furnish/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
return self._process_data(data)
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/.venv_furnish/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
data.reraise()
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/.venv_furnish/lib/python3.9/site-packages/torch/_utils.py", line 425, in reraise
raise self.exc_type(msg)
RuntimeError: Caught RuntimeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/.venv_furnish/lib/python3.9/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/.venv_furnish/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/.venv_furnish/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/continue_dataset.py", line 63, in getitem
composite.add_node(node)
File "/home/remote/repos/autofurnish/external_experiments/scene_synthesis/deep_synth/data/rendered.py", line 189, in add_node
to_add[xmin:xmin+xsize,ymin:ymin+ysize] = h
RuntimeError: The expanded size of the tensor (168) must match the existing size (202) at non-singleton dimension 1. Target sizes: [202, 168]. Tensor sizes: [202, 202]