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Darknet can't detect object from train images with threshold = 0.8 #4
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@AlexeyAB |
Yes, already trained model shows more than 80% probability on PascalVOC2012 images: http://pjreddie.com/media/files/yolo-voc.weights
What command do you use to training Yolo v2?
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@AlexeyAB I follow the pjreddie website to train VOC dataset. gpu is k40. I will retrain voc on linux ,But windows is my main work platform. |
@AlexeyAB I had tested your latest code ,the problem was indeed solved. |
correct typo line AlexeyAB#4 # ssubdivisions=1 -> # subdivisions=1
I just noticed that I trained Yolo V2 on VOC2007 dataset,and I tested on the training images,find that yolo v2 can't fit the train images ,in other words,i set threshold = 0.8 no bounding box was detected.
I followed your instructions to train ,and checked it for several times,the result didn't change a lot.
I was wondering whether is the lose function of Yolo causing this error?By the way,I did the same test on mxnet-ssd,faster RCNN on caffe,everything was ok,the bounding boxes were detected with probability 1.0.
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