We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Hey I try to rebuild what you did and get an error in the notebook in the following line: X_test, y_test = load_images('food-101/test', min_side=299)
the kernel restarts ... looks like jupyter notebooks can not handle this amount of data
The text was updated successfully, but these errors were encountered:
Its not a Jupyter Notebooks problem ... I also can't load it when running from the terminal ... any suggestions?
Sorry, something went wrong.
I don't think a fix is possible, unfortunately. The image aug is custom and reads from mem. if you get past the initial load you might try this: https://github.com/stratospark/keras-multiprocess-image-data-generator
but best bet on a single gpu is to use native keras image load
No branches or pull requests
Hey I try to rebuild what you did and get an error in the notebook in the following line:
X_test, y_test = load_images('food-101/test', min_side=299)
the kernel restarts ... looks like jupyter notebooks can not handle this amount of data
The text was updated successfully, but these errors were encountered: