cannot training with papaya databases

[YeisonJimenez]

Hello... Is the system not adapted to train with the papaya database?

[leonvarga]

Training on papaya works.

Please provide an error message, otherwise it is hard to help. Are you able to train a model on the avocado data?

Best regards, Leon Varga

[YeisonJimenez]

Hello... Yes, I have already trained the models using the avocado, kiwi and kaki data.

The error message that appears when using the papaya data is as follows:

File "/home/yjimenez/PycharmProjects/deephs_fruit-master/classification/train.py", line 423, in main(hparams) File "/home/yjimenez/PycharmProjects/deephs_fruit-master/classification/train.py", line 399, in main trainer.fit(model) File "/home/yjimenez/Imaging_Processing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 696, in fit self._call_and_handle_interrupt( File "/home/yjimenez/Imaging_Processing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 648, in _call_and_handle_interrupt return self.strategy.launcher.launch(trainer_fn, *args, trainer=self, kwargs) File "/home/yjimenez/Imaging_Processing/lib/python3.10/site-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 93, in launch return function(*args, *kwargs) File "/home/yjimenez/Imaging_Processing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 735, in _fit_impl results = self._run(model, ckpt_path=self.ckpt_path) File "/home/yjimenez/Imaging_Processing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1105, in _run self._call_setup_hook() # allow user to setup lightning_module in accelerator environment File "/home/yjimenez/Imaging_Processing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1449, in _call_setup_hook self._call_lightning_module_hook("setup", stage=fn) File "/home/yjimenez/Imaging_Processing/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1550, in _call_lightning_module_hook output = fn(args, kwargs) File "/home/yjimenez/PycharmProjects/deephs_fruit-master/classification/train.py", line 60, in setup get_records(self.hparams['fruit'], File "/home/yjimenez/PycharmProjects/deephs_fruit-master/core/datasets/hyperspectral_dataset.py", line 222, in get_records assert len(records) > 0 AssertionError wandb: Waiting for W&B process to finish... (failed 1). wandb:
wandb: You can sync this run to the cloud by running: wandb: wandb sync /tmp/wandb/offline-run-20230918_213420-2u51jakx wandb: Find logs at: /tmp/wandb/offline-run-20230918_213420-2u51jakx/log

[leonvarga]

Line File "/home/yjimenez/PycharmProjects/deephs_fruit-master/core/datasets/hyperspectral_dataset.py", line 222, in get_records assert len(records) > 0 indicates that it cannot find the hyperspectral recordings.

Can you please validate whether the data_path directory contains the extracted papaya-zip?

[leonvarga]

You were right, the public repository was not fully up-to-date.

With the commit 42e032b the training for papayas should be possbile.

Best regards, Leon

[YeisonJimenez]

Thank you so much!