FileNotFoundError: [Errno 2] No such file or directory: 'data/meta\\masks_overlayed_eroded_0_dilated_0\\train\\masks\\000000150992

[angeloprop]

Someone can help me to fix this problem

Here is reported my neptune.YAML file

[zeciro]

Hi, I am having the exact same issue. I am running a smaller data set with 1000 images each for the training and validation sets just to try things out. Preparing the masks and the metadata works fine. When I start training, I get the above "No such file or directory" issue. However I checked, the file does exist in that location.

Comments are appreciated. I am gonna try to run the entire data set for comparison.

Cheers

[zeciro]

I think it has to do with the file paths and running things under windows instead of linux.

Here is a similar discussion: https://stackoverflow.com/questions/60635464/confusing-problem-filenotfounderror-errno-2-no-such-file-or-directory

I attempted to fix this in neptune.yaml by changing data/meta to data\meta but that did not change the result. In src/utils.py I also changed line 150 and 162 to use \ instead of /

However the outcome is the same even though the file path now seems to be correct.

Traceback (most recent call last): File "main.py", line 68, in main() File "C:\ProgramData\Anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "C:\ProgramData\Anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "C:\ProgramData\Anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "C:\ProgramData\Anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "C:\ProgramData\Anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, kwargs) File "main.py", line 30, in train pipeline_manager.train(pipeline_name, dev_mode) File "D:\machine learning\trial\src\pipeline_manager.py", line 42, in train train(pipeline_name, dev_mode, self.logger, self.params, self.seed) File "D:\machine learning\trial\src\pipeline_manager.py", line 136, in train pipeline.fit_transform(data) File "D:\machine learning\trial\src\steps\base.py", line 106, in fit_transform step_inputs[input_step.name] = input_step.fit_transform(data) File "D:\machine learning\trial\src\steps\base.py", line 106, in fit_transform step_inputs[input_step.name] = input_step.fit_transform(data) File "D:\machine learning\trial\src\steps\base.py", line 106, in fit_transform step_inputs[input_step.name] = input_step.fit_transform(data) [Previous line repeated 4 more times] File "D:\machine learning\trial\src\steps\base.py", line 112, in fit_transform return self._cached_fit_transform(step_inputs) File "D:\machine learning\trial\src\steps\base.py", line 123, in _cached_fit_transform step_output_data = self.transformer.fit_transform(step_inputs) File "D:\machine learning\trial\src\steps\base.py", line 262, in fit_transform self.fit(*args, kwargs) File "D:\machine learning\trial\src\models.py", line 76, in fit for batch_id, data in enumerate(batch_gen): File "C:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 435, in next data = self._next_data() File "C:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 1085, in _next_data return self._process_data(data) File "C:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 1111, in _process_data data.reraise() File "C:\ProgramData\Anaconda3\lib\site-packages\torch_utils.py", line 428, in reraise raise self.exc_type(msg) FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0. Original Traceback (most recent call last): File "C:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data_utils\worker.py", line 198, in _worker_loop data = fetcher.fetch(index) File "C:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data_utils\fetch.py", line 44, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "C:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data_utils\fetch.py", line 44, in data = [self.dataset[idx] for idx in possibly_batched_index] File "D:\machine learning\trial\src\loaders.py", line 150, in getitem Di = self.load_joblib(distance_filepath) File "D:\machine learning\trial\src\loaders.py", line 135, in load_joblib return joblib.load(filepath) File "C:\ProgramData\Anaconda3\lib\site-packages\joblib\numpy_pickle.py", line 577, in load with open(filename, 'rb') as f: FileNotFoundError: [Errno 2] No such file or directory: 'data\meta\masks_overlayed_eroded_0_dilated_0\train\masks\000000042954'**

Any hints?

[zeciro]

It seems that running things in Ubuntu instead of Windows fixes these issues.