Skip to content

Add a readme section for training on a custom dataset #174

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
dopplesoldner wants to merge 4 commits into
base: master
Choose a base branch
from
Open

Add a readme section for training on a custom dataset #174

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
b144e55
update config for ec2 arch
Apr 20, 2016
bfe11e1
Add files via upload
dopplesoldner May 17, 2016
c667bff
Add files via upload
dopplesoldner May 17, 2016
be51323
Add files via upload
dopplesoldner May 17, 2016
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 21 additions & 7 deletions experiments/scripts/faster_rcnn_end2end.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,18 @@ case $DATASET in
PT_DIR="pascal_voc"
ITERS=70000
;;
traffic)
TRAIN_IMDB="traffic_2016_train"
TEST_IMDB="traffic_2016_test"
PT_DIR="traffic"
ITERS=60000
;;
traffic_india)
TRAIN_IMDB="traffic_india_2016_trainval"
TEST_IMDB="traffic_india_2016_test"
PT_DIR="traffic_india"
ITERS=20000
;;
coco)
# This is a very long and slow training schedule
# You can probably use fewer iterations and reduce the
Expand All @@ -48,18 +60,20 @@ LOG="experiments/logs/faster_rcnn_end2end_${NET}_${EXTRA_ARGS_SLUG}.txt.`date +'
exec &> >(tee -a "$LOG")
echo Logging output to "$LOG"

time ./tools/train_net.py --gpu ${GPU_ID} \
--solver models/${PT_DIR}/${NET}/faster_rcnn_end2end/solver.prototxt \
--weights data/imagenet_models/${NET}.v2.caffemodel \
--imdb ${TRAIN_IMDB} \
--iters ${ITERS} \
--cfg experiments/cfgs/faster_rcnn_end2end.yml \
${EXTRA_ARGS}
#time ./tools/train_net.py --gpu ${GPU_ID} \
#--solver models/${PT_DIR}/${NET}/faster_rcnn_end2end/solver.prototxt \
#--weights data/imagenet_models/${NET}.v2.caffemodel \
#--imdb ${TRAIN_IMDB} \
#--iters ${ITERS} \
#--cfg experiments/cfgs/faster_rcnn_end2end.yml \
#${EXTRA_ARGS}

set +x
NET_FINAL=`grep -B 1 "done solving" ${LOG} | grep "Wrote snapshot" | awk '{print $4}'`
set -x

#temp
NET_FINAL=/home/ubuntu/py-faster-rcnn/output/faster_rcnn_end2end/traffic_2016_train/zf_faster_rcnn_iter_60000.caffemodel
time ./tools/test_net.py --gpu ${GPU_ID} \
--def models/${PT_DIR}/${NET}/faster_rcnn_end2end/test.prototxt \
--net ${NET_FINAL} \
Expand Down
14 changes: 14 additions & 0 deletions lib/datasets/factory.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,8 +11,22 @@

from datasets.pascal_voc import pascal_voc
from datasets.coco import coco
from datasets.traffic import traffic
from datasets.traffic_india import traffic_india
import numpy as np

# cars-test dataset
for year in ['2016']:
for split in ['train', 'val', 'trainval', 'test']:
name = 'traffic_{}_{}'.format(year, split)
__sets[name] = (lambda split=split, year=year: traffic(split, year))

# traffic india dataset
for year in ['2016']:
for split in ['train', 'val', 'trainval', 'test']:
name = 'traffic_india_{}_{}'.format(year, split)
__sets[name] = (lambda split=split, year=year: traffic_india(split, year))

# Set up voc_<year>_<split> using selective search "fast" mode
for year in ['2007', '2012']:
for split in ['train', 'val', 'trainval', 'test']:
Expand Down
Loading