- Download Images and Annotations from MSCOCO. By default, we assume the data is stored in
$DATAPATH/data/coco
make sure extracted image directories (train2014, val2014 test2015) are inside
'/images/' directory next to Annotations directory.
And download also:
http://www.cs.berkeley.edu/~rbg/faster-rcnn-data/instances_minival2014.json.zip
http://www.cs.berkeley.edu/~rbg/faster-rcnn-data/instances_valminusminival2014.json.zip
unzip instances_minival2014.json.zip
unzip instances_valminusminival2014.json.zip
mv instances_minival2014.json instances_valminusminival2014.json ./coco/annotations/
- Get the coco code. We will call the directory that you cloned coco into
$COCO_ROOT
git clone https://github.com/weiliu89/coco.git
cd coco
git checkout dev
git apply $CAFFE_ROOT/data/coco/diff.patch
- Build the coco code.
cd PythonAPI
python setup.py build_ext --inplace
- Split the annotation to many files per image and get the image size info.
# Check scripts/batch_split_annotation.py and change settings accordingly.
python scripts/batch_split_annotation.py
# Create the minival2014_name_size.txt and test-dev2015_name_size.txt in $CAFFE_ROOT/data/coco
python scripts/batch_get_image_size.py
- Create the LMDB file.
cd $CAFFE_ROOT
# Create the minival.txt, testdev.txt, test.txt, train.txt in data/coco/
python data/coco/create_list.py
# You can modify the parameters in create_data.sh if needed.
# It will create lmdb files for minival, testdev, test, and train with encoded original image:
# - $DATAPATH/data/coco/lmdb/coco_minival_lmdb
# - $DATAPATH/data/coco/lmdb/coco_testdev_lmdb
# - $DATAPATH/data/coco/lmdb/coco_test_lmdb
# - $DATAPATH/data/coco/lmdb/coco_train_lmdb
# and make soft links at examples/coco/
./data/coco/create_data.sh