YOLOv2
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Hove you tried training with VOC dataset?
I'd like to know if the accuracy was also reproduced. Have you tried this?
I've modified the code and tried testing performance on VOC2007-test, but the mAP was 74.2 on 416x416 input, 0.45 nms thresh, 0.005 detection thresh (all parameters are written in the original paper. Original mAP was 76.8). I can't figure out what's wrong, do you have any suggestions? https://github.com/naoto0804/YOLOv2/blob/voc/test.py
@naoto0804 Thank you for sharing the info.
Currently I'm wondering why the pad
parameters are different among Chainer/darknet implementations.
In Chainer one it has pad=0
: https://github.com/leetenki/YOLOv2/blob/master/yolov2.py#L28, but darknet has all pad=1
.
@naoto0804 as in you tried to train using this code or simply load in the weights from darknet?
@Breakend Sorry for my extremely late reply! I tried to simply load the weights from darknet and tested.