It checks what exactly the RISE notebooks do.
- Create the
condaenvironment with the given.ymlfile. - The environment will download the GPU versions of tensorflow and pytorch, which is around 4GB total, so it will take some time.
- If you want to run the Saliency notebook, you need to download the
Image Net 2012 validation dataset. And put the pictures
into
whatever_folder/whatever_class/actual_picturesso the image loader from the notebook works as intended. - Now you can run
jupyter notebookand open the notebooks in it.
Compared to the original repository,
In Easy_start, keras became tensorflow.keras because it has become a part of the tensorflow package some time ago.
In Saliency, the image folder and gpu batch size were changed.