Closed Jack47746 closed 2 years ago
Hello @Jack47746 ,
I would like to ask you how do you fix this error because I'm trying HITNet but I'm facing with the same error that you posted.
Could you help me?
Thank You.
Michele Comotti
Hello @Jack47746 @Como93 I have also encountered the same problem. May I ask how you resolved it? Thank you very much for your help.
Hi @DWJ111, hope you are fine and sorry for the late reply! Did you try to build the "slant_window" folder with the repository instructions? Because I had problem there last time that I tried to launch the neural network and I solved it. If you want we can discuss it in separate way in order to solve you problem and know each other.
Best regards
Michele
Thank you for sharing this work, I encountered such a problem in the process of running, do you know how to solve it?
Traceback (most recent call last): File "train.py", line 171, in
trainer.fit(model)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/trainer/trainer.py", line 769, in fit
self._fit_impl, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/trainer/trainer.py", line 719, in _call_and_handle_interrupt
return self.strategy.launcher.launch(trainer_fn, *args, trainer=self, kwargs)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 93, in launch
return function(*args, *kwargs)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/trainer/trainer.py", line 809, in _fit_impl
results = self._run(model, ckpt_path=self.ckpt_path)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/trainer/trainer.py", line 1234, in _run
results = self._run_stage()
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/trainer/trainer.py", line 1321, in _run_stage
return self._run_train()
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/trainer/trainer.py", line 1343, in _run_train
self._run_sanity_check()
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/trainer/trainer.py", line 1411, in _run_sanity_check
val_loop.run()
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/loops/base.py", line 204, in run
self.advance(args, kwargs)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/loops/dataloader/evaluation_loop.py", line 154, in advance
dl_outputs = self.epoch_loop.run(self._data_fetcher, dl_max_batches, kwargs)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/loops/base.py", line 204, in run
self.advance(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/loops/epoch/evaluation_epoch_loop.py", line 111, in advance
batch = next(data_fetcher)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/fetching.py", line 184, in next
return self.fetching_function()
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/fetching.py", line 259, in fetching_function
self._fetch_next_batch(self.dataloader_iter)
File "/usr/local/lib/python3.7/dist-packages/pytorch_lightning/utilities/fetching.py", line 273, in _fetch_next_batch
batch = next(iterator)
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 530, in next
data = self._next_data()
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataloader.py", line 570, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 49, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/dataset.py", line 416, in getitem
return self.datasets[dataset_idx][sample_idx]
File "/content/drive/MyDrive/TinyHITNet/dataset/kitti2015.py", line 40, in getitem
"left": np2torch(cv2.imread(str(left_path), cv2.IMREAD_COLOR), bgr=True),
File "/content/drive/MyDrive/TinyHITNet/dataset/utils.py", line 9, in np2torch
if len(x.shape) == 2:
AttributeError: 'NoneType' object has no attribute 'shape'