I'm trying to retraining the Inception v3 model in tensorflow for my own custom categories. I have downloaded some data and formatted it into directories. When I run, the python script creates bottlenecks for the images, and then when it runs, on the first training step( step 0) it has a critical error, where it tries to modulo by 0. It appears in the get_image_path function when computing the mod_index, which is index % len(category_list) so the category_list must be 0 right?
Why is this happening and how can I prevent it?