Open thepate94227 opened 5 years ago
Can somebody help me? I just need an mAP for my testset. I splited my Data into Trainingset, Validationset and Testset and trained my network for a long time. Now i want to know how good my network is. Therfore i need a precision value, mAP, regarding the prediction on my testset.
Hi, thank you for your code. It helped me a lot. I used part of your notebook file mask_rcnn.ipynb, but converted it to a .py file and split it up two two files: train and load+evaluation. Everything works so far, but only the evaluation isn't working at all.
This is the part of code, which doesn't work:
When i use that part of code, this is the print:
My testset contains 60 images, and it take over 5mins after the loop is done, but this is the only print and i get an average of 0. Why is that?
Also, in your code, you sometimes use
model.find_last()[1]
, but the[1]
is wrong. When i load my model, with that i get errors. When i remove the[1]
, then it works fine. When you need my whole code, i will copy it here.