##yolov2 implement pytorch ##
this is a pytorch implementation of yolov2,including train and test phase.
1.Clone this repository
git clone https://github.com/yxlijun/yolov2-pytorch
2.Download Darknet model cfg and weights from the official YOLO website.
wget http://pjreddie.com/media/files/yolo-voc.weights
wget https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolo-voc.cfg
3.Convert the weights to .pth
python tools/darknet_to_pytorch.py
4.demo and test
python test.py
1.Download the training, validation, test data and VOCdevkit
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tar
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtest_06-Nov-2007.tar
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCdevkit_08-Jun-2007.tar
2.Extract all of these tars into one directory named VOCdevkit
tar xvf VOCtrainval_06-Nov-2007.tar
tar xvf VOCtest_06-Nov-2007.tar
tar xvf VOCdevkit_08-Jun-2007.tar
3.put dataset into /home/xxx/data/ directory
4.Run the training program:
python train.py.
