Awesome
chainer-fast-rcnn
It aims at reproducing results of fast-rcnn using Chainer. It can be run only with GPU because roi_pooling_2d layer has only GPU implementation.
Requirements
Create symlink
Create a symlink from the location of original fast-rcnn dir to this project's root dir. (The below line assumes a environment variable $FRCN_ROOT
has a path to the fast-rcnn
source dir.)
$ ln -s $FRCN_ROOT ./
Make sure that all steps written in the Installation (sufficient for the demo)
section of README.md
in fast-rcnn have been performed.
Convert model
Convert caffemodel to chainermodel.
$ python scripts/load_net.py
Test
First you should prepare a sample image, and then
$ python scripts/forward.py --img_fn sample.jpg --out_fn result.jpg
Result
'Overstekend wild' St. Janskerkhof Den Bosch © FaceMePLS (https://www.flickr.com/photos/faceme/5891724192)