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I've downloaded VGG16_caltech_final.zip, and built the code. When I run the demo, there are no pedestrians detected. The scores produced by the adaboost classifier are all very low (essentially zero). The region proposal values and scores seem reasonable. When I examine the "feat" vectors, most of the values are exactly zero. I'm guessing this is the problem. Any suggestions for debugging this would be very welcome.
My setup: Ubuntu 14.04, Cuda 8.0, CuDNN version 2, Nvidia GTX 1080, Matlab R2016b
Many thanks
The text was updated successfully, but these errors were encountered:
The md5sum for the VGG16_caltech_final.zip should be equaled to df9e1aed34784a6be5f57ceb4a82ed03 .
Is it correct for you?
If so, I consider the main problem might be the different environment we used.
It might be solved after compling this mex file for matlab via this caffe version(https://github.com/zhangliliang/caffe/tree/RPN_BF) in your computer. Then replace that mex in the external/caffe/matlab/caffe_faster_rcnn/
I did compile the mex file. In fact I never even tried the mex file you supplied. I'll try that.
I also suspect that I have a compatibility problem with my GPU/matlab/cuda combination. Apparently Matlab R2016b doesn't support Cuda 8.0. I'm going to try again with Cuda 7.5.
Hi,
Thanks for sharing your code.
I've downloaded VGG16_caltech_final.zip, and built the code. When I run the demo, there are no pedestrians detected. The scores produced by the adaboost classifier are all very low (essentially zero). The region proposal values and scores seem reasonable. When I examine the "feat" vectors, most of the values are exactly zero. I'm guessing this is the problem. Any suggestions for debugging this would be very welcome.
My setup: Ubuntu 14.04, Cuda 8.0, CuDNN version 2, Nvidia GTX 1080, Matlab R2016b
Many thanks
The text was updated successfully, but these errors were encountered: