Hi All, Apologize if this is duplicated issue but I couldn't find exact solution to my problem.
I have checked with all the available .cfg and .weights files combinations for training darkflow on around 44 images.
At first the error mentioned above came and then I changed self.offset = 16 + difference(63123056,63471556) in loader.py, and then training started successfully,
what I am looking for is the way to correctly test the trained TfNet on test set - how to do the prediction part?
Because I was using the different set of cfg and weights files before , the difference between expected and found values is far higher than what is mentioned here. I resolved the issue by changing the offset value like now, but when I tried to do the prediction I am getting an empty list.
Hi All, Apologize if this is duplicated issue but I couldn't find exact solution to my problem. I have checked with all the available
.cfg
and.weights
files combinations for training darkflow on around 44 images.I am trying to train the yolo using following:
At first the error mentioned above came and then I changed self.offset = 16 + difference(63123056,63471556) in
loader.py
, and then training started successfully,what I am looking for is the way to correctly test the trained TfNet on test set - how to do the prediction part? Because I was using the different set of cfg and weights files before , the difference between expected and found values is far higher than what is mentioned here. I resolved the issue by changing the offset value like now, but when I tried to do the prediction I am getting an empty list.
Following is used for predict from command line:
the default directory
out
is being created with test images but with no bounding boxes.**BTW I am doing all this windows.