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Please cite DES in your publications if it helps your research:
@inproceedings{zhang2018single,
title = {Single-Shot Object Detection with Enriched Semantics},
author = {Zhang, Zhishuai and Qiao, Siyuan and Xie, Cihang and Shen, Wei and Wang, Bo and Yuille, Alan L.},
booktitle = {CVPR},
year = {2018}
}
Build the code. Please follow Caffe instruction to install all necessary packages and build it.
# Modify Makefile.config according to your Caffe installation.
cp Makefile.config.example Makefile.config
make -j8
# Make sure to include $CAFFE_ROOT/python to your PYTHONPATH.
make py
make test -j8
# (Optional)
make runtest -j8
Download VOC2007 and VOC2012 dataset. By default, we assume the data is stored in $HOME/data/
# Download the data.cd$HOME/data
wget https://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
wget https://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tar
wget https://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtest_06-Nov-2007.tar
# Extract the data.
tar -xvf VOCtrainval_11-May-2012.tar
tar -xvf VOCtrainval_06-Nov-2007.tar
tar -xvf VOCtest_06-Nov-2007.tar
Create the LMDB file.
cd$CAFFE_ROOT# Create the trainval.txt, test.txt, and test_name_size.txt in data/VOC0712/
./data/VOC0712/create_list.sh
# You can modify the parameters in create_data.sh if needed.# It will create lmdb files for trainval and test with encoded original image:# - $HOME/data/VOCdevkit/VOC0712/lmdb/VOC0712_trainval_lmdb# - $HOME/data/VOCdevkit/VOC0712/lmdb/VOC0712_test_lmdb# and make soft links at examples/VOC0712/
./data/VOC0712/create_data.sh
Train/Eval
All .sh files in jobs folder are for training or evaluation. For training, use the models in initial_models to initialize weights. For evaluation, use the model links above to initialize weights.
