This is a translation into Caffe of Anil Thomas's Neon-based project for Kaggles Whale Detection Challenge.
This is a work in progress and most of the code will still require some of the Python scripts from Anil's repo
-
Download and install Caffe. Check instructions here
-
Create
/train
,/test
and/traincrops
directories using Anil's repo. All you need is callprep
method inrun.sh
in his repo. Copy all three directories todata/
directory here. Also downloadsample_submission.csv
file todata/
. -
Declare
CAFFE_ROOT
environmental variable.export CAFFE_ROOT=/path/to/caffe/folder
-
Call
run.sh
./run.sh
- Need to write wrapper scripts to predict Bonnet and Head for test images; and crop test images (possibly using anlthm/whalw-2015/crop.py).
Thanks Anil Thomas and Team Nervana for initial code. This project has started as a re-implentation of original code. Special Thanks to Praveen (https://github.com/opraveen) For developing critical components of the code.