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Ross Girshick e68366925d | 7 years ago | |
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This directory holds (after you download them):
To download precomputed Selective Search proposals for PASCAL VOC 2007 and 2012, run:
./data/scripts/fetch_selective_search_data.sh
This script will populate data/selective_search_data
.
To download Caffe models (CaffeNet, VGG_CNN_M_1024, VGG16) pre-trained on ImageNet, run:
./data/scripts/fetch_imagenet_models.sh
This script will populate data/imagenet_models
.
To download Fast R-CNN models trained on VOC 2007, run:
./data/scripts/fetch_fast_rcnn_models.sh
This script will populate data/fast_rcnn_models
.
In order to train and test with PASCAL VOC, you will need to establish symlinks.
From the data
directory (cd data
):
# For VOC 2007
ln -s /your/path/to/VOC2007/VOCdevkit VOCdevkit2007
# For VOC 2012
ln -s /your/path/to/VOC2012/VOCdevkit VOCdevkit2012
Since you'll likely be experimenting with multiple installs of Fast R-CNN in
parallel, you'll probably want to keep all of this data in a shared place and
use symlinks. On my system I create the following symlinks inside data
:
# data/cache holds various outputs created by the datasets package
ln -s /data/fast_rcnn_shared/cache
# move the imagenet_models to shared location and symlink to them
ln -s /data/fast_rcnn_shared/imagenet_models
# move the selective search data to a shared location and symlink to them
ln -s /data/fast_rcnn_shared/selective_search_data
ln -s /data/VOC2007/VOCdevkit VOCdevkit2007
ln -s /data/VOC2012/VOCdevkit VOCdevkit2012
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