Generator is not producing datasets

[abramjos]

Hi everyone
my generator is not producing images and stops with the first epoch

Epoch 1/5

StopIteration Traceback (most recent call last)
in ()
6 validation_steps = gen_valid.get_size(),
7 callbacks = [early_stop, checkpoint, tensorboard],
----> 8 max_q_size = 8)
9

~/anaconda3/lib/python3.5/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
85 warnings.warn('Update your ' + object_name + 86 ' call to the Keras 2 API: ' + signature, stacklevel=2)
---> 87 return func(*args, **kwargs)
88 wrapper._original_function = func
89 return wrapper

~/anaconda3/lib/python3.5/site-packages/keras/models.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)
1154 use_multiprocessing=use_multiprocessing,
1155 shuffle=shuffle,
-> 1156 initial_epoch=initial_epoch)
1157
1158 @interfaces.legacy_generator_methods_support

~/anaconda3/lib/python3.5/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
85 warnings.warn('Update your ' + object_name + 86 ' call to the Keras 2 API: ' + signature, stacklevel=2)
---> 87 return func(*args, **kwargs)
88 wrapper._original_function = func
89 return wrapper

~/anaconda3/lib/python3.5/site-packages/keras/engine/training.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_queue_size, workers, use_multiprocessing, shuffle, initial_epoch)
2044 batch_index = 0
2045 while steps_done < steps_per_epoch:
-> 2046 generator_output = next(output_generator)
2047
2048 if not hasattr(generator_output, 'len'):

then I checked the# ### show(generator.__next __()[0][0][0]) and it returns:

StopIteration Traceback (most recent call last)
in ()
----> 1 show(generator.next())
erator.next())

[experiencor]

Can you show the full error of show(generator.__next __()[0][0][0])? Your provided text is clipped somewhere.

One comment: you should run cell In [15]: to produce the images from the videos first.

[abramjos]

Sorry I tried a couple of times(the problem is not with generator function either) and find out that whenever I read images using opencv returns none(
Type: NoneType
String form: None
Docstring: )

and thats why it cannot generate images.
{ I have my train/images directory with all the frames in it and I can watch the video feed too. kindof some other issues with conda/opencv(built in conda envs) and the gsettings(memory error is bursting out too)

and thank you so much for your kind words. may I know how you made the environment for the purpose.

[experiencor]

Are you install OPENCV using pip install opencv or something? I had this same error. I had to reinstall it using (https://www.pyimagesearch.com/2016/10/24/ubuntu-16-04-how-to-install-opencv/).

[abramjos]

Thank you . I used a conda enviournment to build the model . but the whole thing broke somehow (with xdg/gsettings reinstallation and other errors) will get back to you once i complete this process!

…

On Wed, Nov 22, 2017 at 6:52 PM, Huynh Ngoc Anh ***@***.***> wrote: Are you install OPENCV using pip install opencv or something. I had this same error. I had to install it again using (https://www.pyimagesearch. com/2016/10/24/ubuntu-16-04-how-to-install-opencv/). — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#4 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AOrAC5wXHm0GBW1qshHJGPLZ1EO2rX6Kks5s5CAagaJpZM4QnC3q> .

[abramjos]

Thank you I will get back to you once I complete this installation process I guess.

I used conda environment and build it(using make install) to get it working with ffmpeg.

[abramjos]

Hi I tried to build this using virtual environment and I could cmake and cmake install it but, I cannot import/find file cv2.so.

I went through root files of python 2&3 and cannot find this cv2.so as per the instructor.
Conda is disabled during this binary compiling.

[abramjos]

Hi its working fine mahn!
thanks 👍

[experiencor]

Great! Hope that you go farther than me. My code works very well on validation set (3.4) but not that well on test set (31.4).