sainatarajan / U-Net

A simple U-Net implementation for custom dataset. Just create required folders and place the images and then start training.
20 stars 6 forks source link

OverflowError: cannot convert float infinity to integer #3

Closed manvirvirk closed 4 years ago

manvirvirk commented 4 years ago

still could not solve. Here is the traceback:

WARNING:tensorflow:Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least steps_per_epoch * epochs batches (in this case, 0 batches). You may need to use the repeat() function when building your dataset. WARNING:tensorflow:Can save best model only with loss available, skipping. C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\utils\generic_utils.py:514: RuntimeWarning: divide by zero encountered in log10 numdigits = int(np.log10(self.target)) + 1 Traceback (most recent call last): File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 767, in on_epoch yield epoch_logs File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 342, in fit total_epochs=epochs) File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 187, in run_one_epoch aggregator.finalize() File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\engine\training_utils.py", line 144, in finalize raise ValueError('Empty training data.') ValueError: Empty training data.

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "unet.py", line 167, in myunet.train() File "unet.py", line 131, in train validation_split=0.2, shuffle=True, callbacks=[model_checkpoint]) File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 819, in fit use_multiprocessing=use_multiprocessing) File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\engine\trainingv2.py", line 397, in fit prefix='val') File "C:\Users\virkt\Anaconda3\envs\unet\lib\contextlib.py", line 130, in exit self.gen.throw(type, value, traceback) File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 772, in on_epoch self.progbar.on_epoch_end(epoch, epoch_logs) File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\callbacks.py", line 789, in on_epoch_end self.progbar.update(self.seen, self.log_values) File "C:\Users\virkt\Anaconda3\envs\unet\lib\site-packages\tensorflow_core\python\keras\utils\generic_utils.py", line 514, in update numdigits = int(np.log10(self.target)) + 1 OverflowError: cannot convert float infinity to integer

manvirvirk commented 4 years ago

.npy files are also created after running data.py

manvirvirk commented 4 years ago

could solve now