ubuntu tensorflow cpu faster-rcnn train data
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn_box$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn_box$
SRE实战 互联网时代守护先锋，助力企业售后服务体系运筹帷幄！一键直达领取阿里云限量特价优惠。(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn_box$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn_box$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn_box$
(flappbird) luo@luo-All-Series:~/MyFile/tf-faster-rcnn_box$ ./experiments/scripts/train_faster_rcnn.sh 0 pascal_voc_0712 res101
+ set -e
+ export PYTHONUNBUFFERED=True
+ PYTHONUNBUFFERED=True
+ GPU_ID=0
+ DATASET=pascal_voc_0712
+ NET=res101
+ array=($@)
+ len=3
+ EXTRA_ARGS=
+ EXTRA_ARGS_SLUG=
+ case ${DATASET} in
+ TRAIN_IMDB=voc_2007_trainval+voc_2012_trainval
+ TEST_IMDB=voc_2007_test
+ STEPSIZE='[200]'
+ ITERS=3200
+ ANCHORS='[8,16,32]'
+ RATIOS='[0.5,1,2]'
++ date +%Y-%m-%d_%H-%M-%S
+ LOG=experiments/logs/res101_voc_2007_trainval+voc_2012_trainval__res101.txt.2019-05-16_14-21-07
+ exec
++ tee -a experiments/logs/res101_voc_2007_trainval+voc_2012_trainval__res101.txt.2019-05-16_14-21-07
+ echo Logging output to experiments/logs/res101_voc_2007_trainval+voc_2012_trainval__res101.txt.2019-05-16_14-21-07
Logging output to experiments/logs/res101_voc_2007_trainval+voc_2012_trainval__res101.txt.2019-05-16_14-21-07
+ set +x
+ '[' '!' -f output/res101/voc_2007_trainval+voc_2012_trainval/default/res101_faster_rcnn_iter_3200.ckpt.index ']'
+ [[ ! -z '' ]]
+ CUDA_VISIBLE_DEVICES=0
+ time python ./tools/trainval_net.py --weight data/imagenet_weights/res101.ckpt --imdb voc_2007_trainval+voc_2012_trainval --imdbval voc_2007_test --iters 3200 --cfg experiments/cfgs/res101.yml --net res101 --set ANCHOR_SCALES '[8,16,32]' ANCHOR_RATIOS '[0.5,1,2]' TRAIN.STEPSIZE '[200]'
Called with args:
Namespace(cfg_file='experiments/cfgs/res101.yml', imdb_name='voc_2007_trainval+voc_2012_trainval', imdbval_name='voc_2007_test', max_iters=3200, net='res101', set_cfgs=['ANCHOR_SCALES', '[8,16,32]', 'ANCHOR_RATIOS', '[0.5,1,2]', 'TRAIN.STEPSIZE', '[200]'], tag=None, weight='data/imagenet_weights/res101.ckpt')
Using config:
{'ANCHOR_RATIOS': [0.5, 1, 2],
'ANCHOR_SCALES': [8, 16, 32],
'DATA_DIR': '/home/luo/MyFile/tf-faster-rcnn_box/data',
'EXP_DIR': 'res101',
'MATLAB': 'matlab',
'MOBILENET': {'DEPTH_MULTIPLIER': 1.0,
'FIXED_LAYERS': 5,
'REGU_DEPTH': False,
'WEIGHT_DECAY': 4e-05},
'PIXEL_MEANS': array([[[102.9801, 115.9465, 122.7717]]]),
'POOLING_MODE': 'crop',
'POOLING_SIZE': 7,
'RESNET': {'FIXED_BLOCKS': 1, 'MAX_POOL': False},
'RNG_SEED': 3,
'ROOT_DIR': '/home/luo/MyFile/tf-faster-rcnn_box',
'RPN_CHANNELS': 512,
'TEST': {'BBOX_REG': True,
'HAS_RPN': True,
'MAX_SIZE': 1000,
'MODE': 'nms',
'NMS': 0.3,
'PROPOSAL_METHOD': 'gt',
'RPN_NMS_THRESH': 0.7,
'RPN_POST_NMS_TOP_N': 300,
'RPN_PRE_NMS_TOP_N': 6000,
'RPN_TOP_N': 5000,
'SCALES': [600],
'SVM': False},
'TRAIN': {'ASPECT_GROUPING': False,
'BATCH_SIZE': 256,
'BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0],
'BBOX_NORMALIZE_MEANS': [0.0, 0.0, 0.0, 0.0],
'BBOX_NORMALIZE_STDS': [0.1, 0.1, 0.2, 0.2],
'BBOX_NORMALIZE_TARGETS': True,
'BBOX_NORMALIZE_TARGETS_PRECOMPUTED': True,
'BBOX_REG': True,
'BBOX_THRESH': 0.5,
'BG_THRESH_HI': 0.5,
'BG_THRESH_LO': 0.0,
'BIAS_DECAY': False,
'DISPLAY': 20,
'DOUBLE_BIAS': False,
'FG_FRACTION': 0.25,
'FG_THRESH': 0.5,
'GAMMA': 0.1,
'HAS_RPN': True,
'IMS_PER_BATCH': 1,
'LEARNING_RATE': 0.001,
'MAX_SIZE': 640,
'MOMENTUM': 0.9,
'PROPOSAL_METHOD': 'gt',
'RPN_BATCHSIZE': 256,
'RPN_BBOX_INSIDE_WEIGHTS': [1.0, 1.0, 1.0, 1.0],
'RPN_CLOBBER_POSITIVES': False,
'RPN_FG_FRACTION': 0.5,
'RPN_NEGATIVE_OVERLAP': 0.3,
'RPN_NMS_THRESH': 0.7,
'RPN_POSITIVE_OVERLAP': 0.7,
'RPN_POSITIVE_WEIGHT': -1.0,
'RPN_POST_NMS_TOP_N': 2000,
'RPN_PRE_NMS_TOP_N': 12000,
'SCALES': [600],
'SNAPSHOT_ITERS': 500,
'SNAPSHOT_KEPT': 3,
'SNAPSHOT_PREFIX': 'res101_faster_rcnn',
'STEPSIZE': [200],
'SUMMARY_INTERVAL': 10,
'TRUNCATED': False,
'USE_ALL_GT': True,
'USE_FLIPPED': True,
'USE_GT': False,
'WEIGHT_DECAY': 0.0001},
'USE_E2E_TF': True,
'USE_GPU_NMS': False}
Loaded dataset `voc_2007_trainval` for training
Set proposal method: gt
Appending horizontally-flipped training examples...
wrote gt roidb to /home/luo/MyFile/tf-faster-rcnn_box/data/cache/voc_2007_trainval_gt_roidb.pkl
done
Preparing training data...
done
Loaded dataset `voc_2012_trainval` for training
Set proposal method: gt
Appending horizontally-flipped training examples...
wrote gt roidb to /home/luo/MyFile/tf-faster-rcnn_box/data/cache/voc_2012_trainval_gt_roidb.pkl
done
Preparing training data...
done
3100 roidb entries
Output will be saved to `/home/luo/MyFile/tf-faster-rcnn_box/output/res101/voc_2007_trainval+voc_2012_trainval/default`
TensorFlow summaries will be saved to `/home/luo/MyFile/tf-faster-rcnn_box/tensorboard/res101/voc_2007_trainval+voc_2012_trainval/default`
Loaded dataset `voc_2007_test` for training
Set proposal method: gt
Preparing training data...
wrote gt roidb to /home/luo/MyFile/tf-faster-rcnn_box/data/cache/voc_2007_test_gt_roidb.pkl
done
388 validation roidb entries
Filtered 0 roidb entries: 3100 -> 3100
Filtered 0 roidb entries: 388 -> 388
2019-05-16 14:21:10.101640: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Solving...
/home/luo/anaconda3/envs/flappbird/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py:98: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.
"Converting sparse IndexedSlices to a dense Tensor of unknown shape. "
Variables restored: resnet_v1_101/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/shortcut/weights:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block1/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/shortcut/weights:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block2/unit_4/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/shortcut/weights:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_4/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_5/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_6/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_7/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_8/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_9/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_10/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_11/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_12/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_13/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_14/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_15/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_16/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_17/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_18/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_19/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_20/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_21/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_22/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block3/unit_23/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/weights:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/shortcut/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_1/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_2/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/weights:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv1/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/weights:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv2/BatchNorm/moving_variance:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/weights:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/beta:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/moving_mean:0
Variables restored: resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/moving_variance:0
Loaded.
Fix Resnet V1 layers..
Fixed.
iter: 20 / 3200, total loss: 1.135714
>>> rpn_loss_cls: 0.095185
>>> rpn_loss_box: 0.219110
>>> loss_cls: 0.245350
>>> loss_box: 0.193565
>>> lr: 0.001000
speed: 18.402s / iter
iter: 40 / 3200, total loss: 1.600461
>>> rpn_loss_cls: 0.235677
>>> rpn_loss_box: 0.519147
>>> loss_cls: 0.258725
>>> loss_box: 0.204415
>>> lr: 0.001000
speed: 18.246s / iter
iter: 60 / 3200, total loss: 1.026078
>>> rpn_loss_cls: 0.166990
>>> rpn_loss_box: 0.091634
>>> loss_cls: 0.133496
>>> loss_box: 0.251467
>>> lr: 0.001000
speed: 18.454s / iter
iter: 80 / 3200, total loss: 1.284394
>>> rpn_loss_cls: 0.224517
>>> rpn_loss_box: 0.456405
>>> loss_cls: 0.072983
>>> loss_box: 0.148006
>>> lr: 0.001000
speed: 18.529s / iter
iter: 80 / 3200, total loss: 1.284394
>>> rpn_loss_cls: 0.224517
>>> rpn_loss_box: 0.456405
>>> loss_cls: 0.072983
>>> loss_box: 0.148006
>>> lr: 0.001000
speed: 18.529s / iter
iter: 100 / 3200, total loss: 0.844565
>>> rpn_loss_cls: 0.175153
>>> rpn_loss_box: 0.030733
>>> loss_cls: 0.099979
>>> loss_box: 0.156224
>>> lr: 0.001000
speed: 18.616s / iter
iter: 120 / 3200, total loss: 1.405110
>>> rpn_loss_cls: 0.277845
>>> rpn_loss_box: 0.059538
>>> loss_cls: 0.414902
>>> loss_box: 0.270357
>>> lr: 0.001000
speed: 18.615s / iter
iter: 140 / 3200, total loss: 1.150603
>>> rpn_loss_cls: 0.331623
>>> rpn_loss_box: 0.227049
>>> loss_cls: 0.082486
>>> loss_box: 0.126985
>>> lr: 0.001000
speed: 18.609s / iter
iter: 160 / 3200, total loss: 0.838705
>>> rpn_loss_cls: 0.229634
>>> rpn_loss_box: 0.022866
>>> loss_cls: 0.052187
>>> loss_box: 0.151566
>>> lr: 0.001000
speed: 18.610s / iter
iter: 180 / 3200, total loss: 0.967498
>>> rpn_loss_cls: 0.109740
>>> rpn_loss_box: 0.070803
>>> loss_cls: 0.195030
>>> loss_box: 0.209483
>>> lr: 0.001000
speed: 18.599s / iter
iter: 200 / 3200, total loss: 0.995808
>>> rpn_loss_cls: 0.190712
>>> rpn_loss_box: 0.229901
>>> loss_cls: 0.050683
>>> loss_box: 0.142080
>>> lr: 0.001000
speed: 18.590s / iter
Wrote snapshot to: /home/luo/MyFile/tf-faster-rcnn_box/output/res101/voc_2007_trainval+voc_2012_trainval/default/res101_faster_rcnn_iter_201.ckpt
iter: 220 / 3200, total loss: 0.947366
>>> rpn_loss_cls: 0.117479
>>> rpn_loss_box: 0.166095
>>> loss_cls: 0.127740
>>> loss_box: 0.153623
>>> lr: 0.000100
speed: 18.561s / iter
iter: 240 / 3200, total loss: 0.930408
>>> rpn_loss_cls: 0.091187
>>> rpn_loss_box: 0.028099
>>> loss_cls: 0.125474
>>> loss_box: 0.303220
>>> lr: 0.000100
speed: 18.544s / iter
iter: 260 / 3200, total loss: 0.783629
>>> rpn_loss_cls: 0.175871
>>> rpn_loss_box: 0.058733
>>> loss_cls: 0.047003
>>> loss_box: 0.119595
>>> lr: 0.000100
speed: 18.511s / iter
iter: 280 / 3200, total loss: 0.883182
>>> rpn_loss_cls: 0.122077
>>> rpn_loss_box: 0.177903
>>> loss_cls: 0.046702
>>> loss_box: 0.154073
>>> lr: 0.000100
speed: 18.496s / iter
iter: 300 / 3200, total loss: 0.723198
>>> rpn_loss_cls: 0.075850
>>> rpn_loss_box: 0.028023
>>> loss_cls: 0.059075
>>> loss_box: 0.177825
>>> lr: 0.000100
speed: 18.483s / iter
iter: 320 / 3200, total loss: 0.725044
>>> rpn_loss_cls: 0.070511
>>> rpn_loss_box: 0.083238
>>> loss_cls: 0.041324
>>> loss_box: 0.147548
>>> lr: 0.000100
speed: 18.473s / iter
iter: 340 / 3200, total loss: 0.664221
>>> rpn_loss_cls: 0.067252
>>> rpn_loss_box: 0.011058
>>> loss_cls: 0.053833
>>> loss_box: 0.149655
>>> lr: 0.000100
speed: 18.463s / iter
iter: 360 / 3200, total loss: 0.839485
>>> rpn_loss_cls: 0.020818
>>> rpn_loss_box: 0.048659
>>> loss_cls: 0.086075
>>> loss_box: 0.301513
>>> lr: 0.000100
speed: 18.459s / iter
iter: 380 / 3200, total loss: 0.825940
>>> rpn_loss_cls: 0.090821
>>> rpn_loss_box: 0.012293
>>> loss_cls: 0.102120
>>> loss_box: 0.238286
>>> lr: 0.000100
speed: 18.452s / iter
iter: 400 / 3200, total loss: 0.616738
>>> rpn_loss_cls: 0.038577
>>> rpn_loss_box: 0.005539
>>> loss_cls: 0.060641
>>> loss_box: 0.129562
>>> lr: 0.000100
speed: 18.448s / iter
iter: 420 / 3200, total loss: 0.788184
>>> rpn_loss_cls: 0.101999
>>> rpn_loss_box: 0.099144
>>> loss_cls: 0.070542
>>> loss_box: 0.134082
>>> lr: 0.000100
speed: 18.435s / iter
iter: 440 / 3200, total loss: 1.085997
>>> rpn_loss_cls: 0.093481
>>> rpn_loss_box: 0.019349
>>> loss_cls: 0.153576
>>> loss_box: 0.437174
>>> lr: 0.000100
speed: 18.429s / iter
iter: 460 / 3200, total loss: 1.423583
>>> rpn_loss_cls: 0.356634
>>> rpn_loss_box: 0.074707
>>> loss_cls: 0.249503
>>> loss_box: 0.360324
>>> lr: 0.000100
speed: 18.420s / iter
iter: 480 / 3200, total loss: 0.916140
>>> rpn_loss_cls: 0.162728
>>> rpn_loss_box: 0.249070
>>> loss_cls: 0.030213
>>> loss_box: 0.091716
>>> lr: 0.000100
speed: 18.414s / iter
iter: 500 / 3200, total loss: 0.761923
>>> rpn_loss_cls: 0.176307
>>> rpn_loss_box: 0.074660
>>> loss_cls: 0.031245
>>> loss_box: 0.097299
>>> lr: 0.000100
speed: 18.408s / iter
Wrote snapshot to: /home/luo/MyFile/tf-faster-rcnn_box/output/res101/voc_2007_trainval+voc_2012_trainval/default/res101_faster_rcnn_iter_500.ckpt
iter: 520 / 3200, total loss: 0.885430
>>> rpn_loss_cls: 0.113050
>>> rpn_loss_box: 0.014576
>>> loss_cls: 0.103602
>>> loss_box: 0.271790
>>> lr: 0.000100
speed: 18.402s / iter
iter: 540 / 3200, total loss: 0.590627
>>> rpn_loss_cls: 0.031484
>>> rpn_loss_box: 0.032061
>>> loss_cls: 0.015204
>>> loss_box: 0.129469
>>> lr: 0.000100
speed: 18.396s / iter
iter: 560 / 3200, total loss: 0.757290
>>> rpn_loss_cls: 0.222908
>>> rpn_loss_box: 0.022937
>>> loss_cls: 0.036551
>>> loss_box: 0.092485
>>> lr: 0.000100
speed: 18.388s / iter
iter: 580 / 3200, total loss: 0.652721
>>> rpn_loss_cls: 0.040262
>>> rpn_loss_box: 0.007916
>>> loss_cls: 0.077510
>>> loss_box: 0.144626
>>> lr: 0.000100
speed: 18.386s / iter
iter: 600 / 3200, total loss: 0.812826
>>> rpn_loss_cls: 0.156050
>>> rpn_loss_box: 0.142754
>>> loss_cls: 0.028783
>>> loss_box: 0.102833
>>> lr: 0.000100
speed: 18.379s / iter
iter: 620 / 3200, total loss: 0.633658
>>> rpn_loss_cls: 0.042237
>>> rpn_loss_box: 0.018296
>>> loss_cls: 0.040488
>>> loss_box: 0.150232
>>> lr: 0.000100
speed: 18.376s / iter
iter: 640 / 3200, total loss: 0.761751
>>> rpn_loss_cls: 0.181334
>>> rpn_loss_box: 0.024330
>>> loss_cls: 0.028081
>>> loss_box: 0.145603
>>> lr: 0.000100
speed: 18.370s / iter
iter: 660 / 3200, total loss: 0.847254
>>> rpn_loss_cls: 0.173398
>>> rpn_loss_box: 0.032888
>>> loss_cls: 0.055646
>>> loss_box: 0.202919
>>> lr: 0.000100
speed: 18.363s / iter
iter: 680 / 3200, total loss: 1.182448
>>> rpn_loss_cls: 0.095425
>>> rpn_loss_box: 0.015148
>>> loss_cls: 0.255668
>>> loss_box: 0.433806
>>> lr: 0.000100
speed: 18.359s / iter
iter: 700 / 3200, total loss: 0.664434
>>> rpn_loss_cls: 0.048816
>>> rpn_loss_box: 0.061652
>>> loss_cls: 0.052419
>>> loss_box: 0.119148
>>> lr: 0.000100
speed: 18.353s / iter
iter: 720 / 3200, total loss: 0.556006
>>> rpn_loss_cls: 0.026380
>>> rpn_loss_box: 0.015842
>>> loss_cls: 0.031052
>>> loss_box: 0.100334
>>> lr: 0.000100
speed: 18.347s / iter
iter: 740 / 3200, total loss: 0.867070
>>> rpn_loss_cls: 0.144368
>>> rpn_loss_box: 0.197553
>>> loss_cls: 0.022957
>>> loss_box: 0.119795
>>> lr: 0.000100
speed: 18.340s / iter
iter: 760 / 3200, total loss: 0.866542
>>> rpn_loss_cls: 0.136555
>>> rpn_loss_box: 0.022036
>>> loss_cls: 0.139475
>>> loss_box: 0.186081
>>> lr: 0.000100
speed: 18.338s / iter
iter: 780 / 3200, total loss: 0.539158
>>> rpn_loss_cls: 0.006686
>>> rpn_loss_box: 0.008340
>>> loss_cls: 0.030934
>>> loss_box: 0.110804
>>> lr: 0.000100
speed: 18.333s / iter
iter: 800 / 3200, total loss: 0.630556
>>> rpn_loss_cls: 0.020302
>>> rpn_loss_box: 0.007729
>>> loss_cls: 0.060629
>>> loss_box: 0.159504
>>> lr: 0.000100
speed: 18.330s / iter
iter: 820 / 3200, total loss: 0.861949
>>> rpn_loss_cls: 0.243657
>>> rpn_loss_box: 0.037310
>>> loss_cls: 0.102158
>>> loss_box: 0.096434
>>> lr: 0.000100
speed: 18.326s / iter
iter: 840 / 3200, total loss: 0.775692
>>> rpn_loss_cls: 0.100457
>>> rpn_loss_box: 0.011574
>>> loss_cls: 0.121838
>>> loss_box: 0.159434
>>> lr: 0.000100
speed: 18.324s / iter
