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Vikramank / Deep-Learning-

Deep learning algorithms written in TensorFlow
MIT License
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ValueError: invalid literal for int() with base 10 #5

Closed ayangupt90 closed 6 years ago

ayangupt90 commented 6 years ago

Hello Vikramank...... Thanks for your useful code. When i run 1st cell of importing required packages i was get a warning based on tflearn: "curses is not supported on this machine (please install/reinstall curses for an optimal experience)". However after running 1st 4 cells i've not get any kind of error. But after running 5th cell i have got an error as follows. [I've googled for "ValueError: invalid literal for int() with base 10" but there have no support/result which help me for following problem][sorry to say that i'm using HP 245 g5 laptop which have only 4GB RAM to run these codes] : ValueError Traceback (most recent call last)

in () **_1 #Importing data ----> 2 X_train, Y_train = _image_pr_eloader(TRAIN_DATA, image_shape=(56,56),mode='file', categorical_labels=True,normalize=True) 3 X_test, Y_test = image_preloader(TEST_DATA, image_shape=(56,56),mode='file', categorical_labels=True,normalize=True) 4 X_val, Y_val = image_preloader(VALIDATION_DATA, image_shape=(56,56),mode='file', categorical_labels=True,normalize=True)_** ~\Anaconda3\lib\site-packages\tflearn-0.3.2-py3.6.egg\tflearn\data_utils.py in image_preloader(target_path, image_shape, mode, normalize, grayscale, categorical_labels, files_extension, filter_channel) 537 continue 538 images.append(l[0]) --> 539 labels.append(int(l[1])) 540 541 n_classes = np.max(labels) + 1 # ValueError: invalid literal for int() with base 10: 'Gupta/Anaconda3/PROGRAM_TO_CLASSIFY_IMAGES/Dataset_for_Cats_Dogs/train/cat.11963.jpg''
Vikramank commented 6 years ago

Hi, What version of TensorFlow and TFlearn are you using?

ayangupt90 commented 6 years ago

tflearn's version & tensorflow's version are as follows (i'm trying to run it on Windows OS): tensorflow 1.8.0 tflearn 0.3.2 When i'm trying to import packages following warnings are showing: hdf5 is not supported on this machine (please install/reinstall h5py for optimal experience) curses is not supported on this machine (please install/reinstall curses for an optimal experience) Scipy not supported!

Vikramank commented 6 years ago

Hi, TFlearn uses h5 file format to perform some I/O operations. I would suggest to you the following. 1) Uninstall hdf5 and reinstall it 2) Try it in a Linux machine for avoiding errors like these

ayangupt90 commented 6 years ago

Yea.. ! It works in Ubuntu OS. Except three warnings now its says only one warning as on Windows OS: hdf5 is not supported on this machine (please install/reinstall h5py for optimal experience) But until now i still not understood that why these errors occur in windows OS ... ! ! Anyway unfortunately there have one new problem arrived ! As it is a new problem it has been described as new issue.. Thanks for your effort to understanding my problem...

ayangupt90 commented 6 years ago

Again new issue.... Please see GitHub for more details..... Thank you...!!

On Sat 23 Jun, 2018, 5:42 PM Vikramank, notifications@github.com wrote:

Hi, TFlearn uses h5 file format to perform some I/O operations. I would suggest to you the following.

  1. Uninstall hdf5 and reinstall it
  2. Try it in a Linux machine for avoiding errors like these

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/Vikramank/Deep-Learning-/issues/5#issuecomment-399672646, or mute the thread https://github.com/notifications/unsubscribe-auth/Al0M4xbUzsWK8mTYX2Dv7wLaEU1wFaisks5t_jCXgaJpZM4UjpHd .

Vikramank commented 6 years ago

Hi, this is strange. I've answered your querry in the relevant page