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

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

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b144e55
update config for ec2 arch
Apr 20, 2016
bfe11e1
Add files via upload
dopplesoldner May 17, 2016
c667bff
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dopplesoldner May 17, 2016
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dopplesoldner May 17, 2016
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28 changes: 21 additions & 7 deletions experiments/scripts/faster_rcnn_end2end.sh
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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} \
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14 changes: 14 additions & 0 deletions lib/datasets/factory.py
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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']:
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