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SeokjuLee / VPGNet

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
MIT License
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Nothing detected even though trained and deployed according to your Baseline Usage step by step completely. #29

Closed AromaticJ closed 6 years ago

AromaticJ commented 6 years ago

Hi, SeokjuLee Thanks for your remarkable work. I download your code from here and implemented training and deploying according to your Baseline Usage step by step completely. I Compiled your caffe successfully on my ubuntu16.04. I used all of your Caltech Lanes Dataset for training. And of course no any change of your training and deploying prototxt and any other files in VPGnet.

But the 64X60X80 output of my 'multi-label' was not able to detected anything. The first 60X80 channel of 'multi-label' is the background class. Each elements in this channel is above 0.999 at least (training for 3000 steps). And I know it's meaning that nothing to be detected by VPGnet. Nothing to be detected, but by the training log, the pixel-acc and type-acc are all above 0.98. Does it meaning that Label data is nothing? But the training data preparation was according to your Baseline Usage step by step completely.

I have confused by this problems for several days, is there anything I missed? I tried training and deploying according to your Baseline Usage step by step completely and didn't changed any files in VPGnet.

Did you meet this kind of problem? Or is there something missed in my implementation?

AromaticJ commented 6 years ago

Is it indispensable to train the vp part at first? I just trained as your Baseline Usage, no vp part.