Closed recluze closed 7 years ago
Yes, you are correct- you should create a Predictions/train folder with the examples to train on. You can choose your own ratio of positive vs. negative examples. I'll add this to the readme file, thank you!
hey @abbypa Why would I want to use negative examples in my Predictions/Train folder? and how will the code know to learn that these are neg examples\pos examples?
I followed the steps given in the readme. Got some examples generated through
ExampleGenerator.py
. However, it seems thatEndToEnd.py
can't find them. Sifting through the code, I could gather thatExamplesGenerator.py
is writing toResults/pos-train
andResults/neg-train
whereasEndToEnd.py
is trying to read fromPredictions/train
. Is there a missing step in the readme where we need to move files to the correct folder or is there some other error?(For details, the error I'm getting in
EndToEnd.py
is the empty list when trying to stack images.)p.s. Thanks a lot for putting in the effort to make this code available and for pointing to the pre-trained models.