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Using config:
{'ANCHOR_SCALES': [16],
'DATA_DIR': '/data1/sina_recmd/fuchao/github/text-detection-ctpn/data',
'DEDUP_BOXES': 0.0625,
'EPS': 1e-14,
'EXP_DIR': 'ctpn_end2end',
'GPU_ID': 0,
'IS_EXTRAPOLATING': True,
'IS_MULTISCALE': False,
'IS_RPN': True,
'LOG_DIR': 'ctpn',
'MATLAB': 'matlab',
'MODELS_DIR': '/data1/sina_recmd/fuchao/github/text-detection-ctpn/models/pascal_voc',
'NCLASSES': 2,
'NET_NAME': 'VGGnet',
'PIXEL_MEANS': array([[[102.9801, 115.9465, 122.7717]]]),
'REGION_PROPOSAL': 'RPN',
'RNG_SEED': 3,
'ROOT_DIR': '/data1/sina_recmd/fuchao/github/text-detection-ctpn',
'SUBCLS_NAME': 'voxel_exemplars',
'TEST': {'BBOX_REG': True,
'DETECT_MODE': 'H',
'HAS_RPN': True,
'MAX_SIZE': 1000,
'NMS': 0.3,
'PROPOSAL_METHOD': 'selective_search',
'RPN_MIN_SIZE': 8,
'RPN_NMS_THRESH': 0.7,
'RPN_POST_NMS_TOP_N': 1000,
'RPN_PRE_NMS_TOP_N': 12000,
'SCALES': [600],
'SVM': False,
'checkpoints_path': 'checkpoints/'},
'TRAIN': {'ASPECTS': [1],
'ASPECT_GROUPING': True,
'BATCH_SIZE': 300,
'BBOX_INSIDE_WEIGHTS': [0, 1, 0, 1],
'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,
'DISPLAY': 10,
'DONTCARE_AREA_INTERSECTION_HI': 0.5,
'FG_FRACTION': 0.3,
'FG_THRESH': 0.5,
'GAMMA': 0.1,
'HAS_RPN': True,
'IMS_PER_BATCH': 1,
'KERNEL_SIZE': 5,
'LEARNING_RATE': 1e-05,
'LOG_IMAGE_ITERS': 100,
'MAX_SIZE': 1000,
'MOMENTUM': 0.9,
'OHEM': False,
'PRECLUDE_HARD_SAMPLES': True,
'PROPOSAL_METHOD': 'gt',
'RANDOM_DOWNSAMPLE': False,
'RPN_BATCHSIZE': 300,
'RPN_BBOX_INSIDE_WEIGHTS': [0, 1, 0, 1],
'RPN_CLOBBER_POSITIVES': False,
'RPN_FG_FRACTION': 0.5,
'RPN_MIN_SIZE': 8,
'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],
'SCALES_BASE': [0.25, 0.5, 1.0, 2.0, 3.0],
'SNAPSHOT_INFIX': '',
'SNAPSHOT_ITERS': 1000,
'SNAPSHOT_PREFIX': 'VGGnet_fast_rcnn',
'SOLVER': 'Adam',
'STEPSIZE': 30000,
'USE_FLIPPED': True,
'USE_PREFETCH': False,
'WEIGHT_DECAY': 0.0005,
'max_steps': 500000,
'restore': 0},
'USE_GPU_NMS': True}
<bound method imdb.default_roidb of <lib.datasets.pascal_voc.pascal_voc object at 0x7f8355e1d2b0>>
Loaded dataset `voc_2007_trainval` for training
Appending horizontally-flipped training examples...
voc_2007_trainval gt roidb loaded from /data1/sina_recmd/fuchao/github/text-detection-ctpn/data/cache/voc_2007_trainval_gt_roidb.pkl
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