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# Download pre-computed Faster R-CNN detectorscd py-faster-rcnn
./data/scripts/fetch_faster_rcnn_models.sh
# To run the demo
./tools/demo.py
Training and testing
# 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
# 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
# It should have this basic structure## $VOCdevkit/ # development kit# $VOCdevkit/VOCcode/ # VOC utility code# $VOCdevkit/VOC2007 # image sets, annotations, etc.# ... and several other directories ...# Create symlinks for the PASCAL VOC datasetcd py-faster-rcnn/data
ln -s $VOCdevkit VOCdevkit2007