siddharthganesh / dpm-cfnet Goto Github PK

and i also doubt this script can not use the GPU effcecently,because i just have a result after 10 hours ,can you help me to figure it out ,thank you so much.

CUDA_VISIBLE_DEVICES='0,1' python run.py
Using Tensorflow 1.1.0

Layer 1
CONV: setting br_conv1f br_conv1b
CONV: stride 2, filter-group False
BNORM: setting br_bn1b br_bn1m br_bn1x
MAX-POOL: size 3 and stride 2
Layer 2
CONV: setting br_conv2f br_conv2b
CONV: stride 1, filter-group True
BNORM: setting br_bn2b br_bn2m br_bn2x
MAX-POOL: size 3 and stride 1
Layer 3
CONV: setting br_conv3f br_conv3b
CONV: stride 1, filter-group False
BNORM: setting br_bn3b br_bn3m br_bn3x
Layer 4
CONV: setting br_conv4f br_conv4b
CONV: stride 1, filter-group True
BNORM: setting br_bn4b br_bn4m br_bn4x
Layer 5
CONV: setting br_conv5f br_conv5b
CONV: stride 1, filter-group True

0 -- tc_Airport_ce -- Precision: 10.81 -- Precisions AUC: 3.44 -- IOU: 12.57 -- Speed: 0.20 --

1 -- tc_Baby_ce -- Precision: 96.62 -- Precisions AUC: 38.98 -- IOU: 62.22 -- Speed: 0.19 --

2 -- tc_Badminton_ce1 -- Precision: 32.12 -- Precisions AUC: 13.52 -- IOU: 23.51 -- Speed: 0.19 --