eval_39589172.out

test
## args
{'MPS_iter': None,
 'clip_gradient': True,
 'dataset_option': None,
 'dir_logs': None,
 'dropout': None,
 'epochs': None,
 'eval_epochs': 1,
 'evaluate': True,
 'evaluate_object': False,
 'infinite': False,
 'iter_size': 1,
 'learning_rate': None,
 'loss_weight': True,
 'model_name': None,
 'nms': -1.0,
 'optimize_MPS': False,
 'optimizer': None,
 'path_opt': 'options/models/VRD.yaml',
 'pretrained_model': 'output/trained_models/Model-VRD.h5',
 'print_freq': 1000,
 'resume': None,
 'rpn': None,
 'save_all_from': None,
 'seed': 1,
 'start_epoch': 0,
 'step_size': None,
 'triplet_nms': 0.4,
 'use_gt_boxes': False,
 'use_normal_anchors': False,
 'warm_iters': -1,
 'workers': 1}
## options
{'data': {'batch_size': 1L,
          'dataset': 'VRD',
          'dataset_version': None,
          'opts': 'options/data_VRD.yaml',
          'use_region': False},
 'logs': {'dir_logs': 'output/', 'model_name': 'FN_VRD'},
 'model': {'MPS_iter': 1,
           'activation': 'relu',
           'arch': 'FN_v4s',
           'bottleneck': True,
           'cls_obj': 1.0,
           'cls_pred': 2.0,
           'dim_ho': 512,
           'dim_hp': 512,
           'dim_hr': 512,
           'dim_mm': 256,
           'dropout': 0.0,
           'fusion': 'PI_v5',
           'op': 'Sum',
           'pool_size': 5,
           'reg_obj': 0.5,
           'rpn_opts': 'options/RPN/RPN_FN_VRD.yaml',
           'use_bias': True,
           'use_loss_weight': True},
 'optim': {'clip_gradient': True,
           'epochs': 15,
           'lr': 0.01,
           'lr_decay': 0.1,
           'lr_decay_epoch': 3,
           'momentum': 0.9,
           'nesterov': True,
           'optimizer': 0,
           'weight_decay': 1e-05},
 'opts': {'dir': 'data/VRD',
          'test': {'MAX_SIZE': 1000, 'SCALES': [600]},
          'train': {'MAX_SIZE': 1000,
                    'SCALES': [450, 500, 550, 600, 600, 650, 700, 750]}}}
Checkpoints are saved to: output/FN_VRD_1_iters_SGD
Loading training set and testing set... #################### MY DEBUG SECTION start ####################
len of test_set: 954

traverse test_set start
traverse test_set done
options['data']['dataset'] VRD
data_opts
{'dir': 'data/VRD',
 'test': {'MAX_SIZE': 1000, 'SCALES': [600]},
 'train': {'MAX_SIZE': 1000,
           'SCALES': [450, 500, 550, 600, 600, 650, 700, 750]}}
dataset_option = None
use_region = False
#################### MY DEBUG SECTION  end  ####################
Done
hello from RPN.py init()
using k-means anchors: data/VRD/kmeans_anchors.json
1 MPS modules are used.
Bottleneck enabled.
Done.
vgg feature length: 26
rpn feature length: 6
HDN feature length: 37
MPS feature length: 20
Logs directory already exists in output/FN_VRD_1_iters_SGD. Erase?
Loading pretrained model: output/trained_models/Model-VRD.h5
Model has 32954137 parameters
========== Testing =======
eval done
0
hello
(<class 'torch.Tensor'>, <type 'list'>)
hello from fn_v4s forward_eval()
hello from RPN.py forward
done till #108 in RPN.py
done till #114 in RPN.py
done till #117 in RPN.py
parameters no problem
hello from proposal_layer() in RPN.py
done till #162 in RPN.py
hello from proposal_layer.py