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ijkguo / mx-rcnn

Parallel Faster R-CNN implementation with MXNet.
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data label empty error #46

Closed atticcas closed 7 years ago

atticcas commented 7 years ago

test_data = TestLoader(roidb, batch_size=1, shuffle=shuffle, has_rpn=True) Hi

I have just tried your latest repo with Your version of MXNET(2 commit behind master) Have you changed the data loader completely? or there could be a bug here. Where test_data.provide_label always return empty. I did some digging and made it work replacing provide_label to provide_data and the program works.(not sure about the result, still testing)

Also it seems like with the newest MXnet(0.9) the processing speed slowed down? With this repo's code I see around 20% speed drop

maybe I am doing settings wrrong

Thanks!

ijkguo commented 7 years ago

Thank you for feedback.

I set test_data.provide_label to None (previously it is []) in order to comply with new definition of nnvm mxnet (0.9). I seem not to have any problem testing. You mean you must set it to provide_data in order to test?

I am working on the standard detection io which caused the speed to go down. The result is still the same according to my experiment.