-
Notifications
You must be signed in to change notification settings - Fork 32
/
log.txt
110 lines (110 loc) · 41.4 KB
/
log.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
cfg_file: ./config/MatrixNetCornersResnet50.json
loading all datasets...
split: val2017
loading from cache file: ./MatrixNetCornersResnet50_48LayerRange_512isize/coco_val2017.pkl
loading annotations into memory...
Done (t=0.84s)
creating index...
index created!
system config...
{'batch_size': 2,
'cache_dir': './MatrixNetCornersResnet50_48LayerRange_512isize',
'chunk_sizes': [1, 1],
'config_dir': './config',
'data_dir': './data/',
'data_rng': <mtrand.RandomState object at 0x7f06d3c1b090>,
'dataset': 'MSCOCO',
'decay_rate': 10,
'display': 5,
'learning_rate': 5e-05,
'max_iter': 350000,
'model_name': 'MatrixNetCorners',
'nnet_rng': <mtrand.RandomState object at 0x7f06d3c099d8>,
'opt_algo': 'adam',
'prefetch_size': 6,
'pretrain': None,
'result_dir': './results',
'snapshot': 10000,
'stepsize': 300000,
'test_split': 'testdev',
'train_split': 'train2017',
'val_iter': 100,
'val_split': 'val2017',
'weight_decay': False,
'weight_decay_rate': 1e-05,
'weight_decay_type': 'l2'}
db config...
{'backbone': 'resnet50',
'base_layer_range': [24, 48, 24, 48],
'border': 128,
'categories': 80,
'cutout': True,
'data_aug': True,
'gaussian_bump': True,
'gaussian_iou': 0.3,
'gaussian_radius': -1,
'height_thresholds': None,
'input_size': [512, 512],
'layers_range': [[[0, 48, 0, 48], [48, 96, 0, 48], [96, 192, 0, 48], -1, -1],
[[0, 48, 48, 96],
[48, 96, 48, 96],
[96, 192, 48, 96],
[192, 384, 0, 96],
-1],
[[0, 48, 96, 192],
[48, 96, 96, 192],
[96, 192, 96, 192],
[192, 384, 96, 192],
[384, 2000, 96, 192]],
[-1,
[0, 96, 192, 384],
[96, 192, 192, 384],
[192, 384, 192, 384],
[384, 2000, 192, 384]],
[-1,
-1,
[0, 192, 384, 2000],
[192, 384, 384, 2000],
[384, 2000, 384, 2000]]],
'lighting': True,
'matching_threshold': 0.2,
'max_per_image': 100,
'merge_bbox': True,
'nms_algorithm': 'exp_soft_nms',
'nms_kernel': 3,
'nms_threshold': 0.5,
'output_kernel_size': 3,
'rand_color': True,
'rand_crop': True,
'rand_pushes': False,
'rand_samples': False,
'rand_scale_max': 1.4,
'rand_scale_min': 0.6,
'rand_scale_step': 0.1,
'rand_scales': array([0.6, 0.7, 0.8, 0.9, 1. , 1.1, 1.2, 1.3]),
'special_crop': False,
'test_flip_images': True,
'test_image_max_dim': 900,
'test_scales': [1],
'top_k': 50,
'train_image_max_dim': 800,
'weight_exp': 6,
'width_thresholds': None}
loading parameters at iteration: 360000
building neural network...
module_file: models.MatrixNetCorners
total parameters: 48693712
loading parameters...
loading model from ./MatrixNetCornersResnet50_48LayerRange_512isize/nnet/MatrixNetCorners/MatrixNetCorners_360000.pkl
Traceback (most recent call last):
File "test.py", line 98, in <module>
test(testing_db, args.split, args.testiter, args.debug, args.suffix)
File "test.py", line 54, in test
nnet.load_params(test_iter)
File "/home/rragarwal4/matrixnet/nnet/py_factory.py", line 118, in load_params
self.model.load_state_dict(params)
File "/home/rragarwal4/anaconda3/envs/matrixnets/lib/python3.6/site-packages/torch/nn/modules/module.py", line 845, in load_state_dict
self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for DummyModule:
Missing key(s) in state_dict: "module.net.feature_pyramid.resnet.conv1.weight", "module.net.feature_pyramid.resnet.bn1.weight", "module.net.feature_pyramid.resnet.bn1.bias", "module.net.feature_pyramid.resnet.bn1.running_mean", "module.net.feature_pyramid.resnet.bn1.running_var", "module.net.feature_pyramid.resnet.layer1.0.conv1.weight", "module.net.feature_pyramid.resnet.layer1.0.bn1.weight", "module.net.feature_pyramid.resnet.layer1.0.bn1.bias", "module.net.feature_pyramid.resnet.layer1.0.bn1.running_mean", "module.net.feature_pyramid.resnet.layer1.0.bn1.running_var", "module.net.feature_pyramid.resnet.layer1.0.conv2.weight", "module.net.feature_pyramid.resnet.layer1.0.bn2.weight", "module.net.feature_pyramid.resnet.layer1.0.bn2.bias", "module.net.feature_pyramid.resnet.layer1.0.bn2.running_mean", "module.net.feature_pyramid.resnet.layer1.0.bn2.running_var", "module.net.feature_pyramid.resnet.layer1.0.conv3.weight", "module.net.feature_pyramid.resnet.layer1.0.bn3.weight", "module.net.feature_pyramid.resnet.layer1.0.bn3.bias", "module.net.feature_pyramid.resnet.layer1.0.bn3.running_mean", "module.net.feature_pyramid.resnet.layer1.0.bn3.running_var", "module.net.feature_pyramid.resnet.layer1.0.downsample.0.weight", "module.net.feature_pyramid.resnet.layer1.0.downsample.1.weight", "module.net.feature_pyramid.resnet.layer1.0.downsample.1.bias", "module.net.feature_pyramid.resnet.layer1.0.downsample.1.running_mean", "module.net.feature_pyramid.resnet.layer1.0.downsample.1.running_var", "module.net.feature_pyramid.resnet.layer1.1.conv1.weight", "module.net.feature_pyramid.resnet.layer1.1.bn1.weight", "module.net.feature_pyramid.resnet.layer1.1.bn1.bias", "module.net.feature_pyramid.resnet.layer1.1.bn1.running_mean", "module.net.feature_pyramid.resnet.layer1.1.bn1.running_var", "module.net.feature_pyramid.resnet.layer1.1.conv2.weight", "module.net.feature_pyramid.resnet.layer1.1.bn2.weight", "module.net.feature_pyramid.resnet.layer1.1.bn2.bias", "module.net.feature_pyramid.resnet.layer1.1.bn2.running_mean", "module.net.feature_pyramid.resnet.layer1.1.bn2.running_var", "module.net.feature_pyramid.resnet.layer1.1.conv3.weight", "module.net.feature_pyramid.resnet.layer1.1.bn3.weight", "module.net.feature_pyramid.resnet.layer1.1.bn3.bias", "module.net.feature_pyramid.resnet.layer1.1.bn3.running_mean", "module.net.feature_pyramid.resnet.layer1.1.bn3.running_var", "module.net.feature_pyramid.resnet.layer1.2.conv1.weight", "module.net.feature_pyramid.resnet.layer1.2.bn1.weight", "module.net.feature_pyramid.resnet.layer1.2.bn1.bias", "module.net.feature_pyramid.resnet.layer1.2.bn1.running_mean", "module.net.feature_pyramid.resnet.layer1.2.bn1.running_var", "module.net.feature_pyramid.resnet.layer1.2.conv2.weight", "module.net.feature_pyramid.resnet.layer1.2.bn2.weight", "module.net.feature_pyramid.resnet.layer1.2.bn2.bias", "module.net.feature_pyramid.resnet.layer1.2.bn2.running_mean", "module.net.feature_pyramid.resnet.layer1.2.bn2.running_var", "module.net.feature_pyramid.resnet.layer1.2.conv3.weight", "module.net.feature_pyramid.resnet.layer1.2.bn3.weight", "module.net.feature_pyramid.resnet.layer1.2.bn3.bias", "module.net.feature_pyramid.resnet.layer1.2.bn3.running_mean", "module.net.feature_pyramid.resnet.layer1.2.bn3.running_var", "module.net.feature_pyramid.resnet.layer2.0.conv1.weight", "module.net.feature_pyramid.resnet.layer2.0.bn1.weight", "module.net.feature_pyramid.resnet.layer2.0.bn1.bias", "module.net.feature_pyramid.resnet.layer2.0.bn1.running_mean", "module.net.feature_pyramid.resnet.layer2.0.bn1.running_var", "module.net.feature_pyramid.resnet.layer2.0.conv2.weight", "module.net.feature_pyramid.resnet.layer2.0.bn2.weight", "module.net.feature_pyramid.resnet.layer2.0.bn2.bias", "module.net.feature_pyramid.resnet.layer2.0.bn2.running_mean", "module.net.feature_pyramid.resnet.layer2.0.bn2.running_var", "module.net.feature_pyramid.resnet.layer2.0.conv3.weight", "module.net.feature_pyramid.resnet.layer2.0.bn3.weight", "module.net.feature_pyramid.resnet.layer2.0.bn3.bias", "module.net.feature_pyramid.resnet.layer2.0.bn3.running_mean", "module.net.feature_pyramid.resnet.layer2.0.bn3.running_var", "module.net.feature_pyramid.resnet.layer2.0.downsample.0.weight", "module.net.feature_pyramid.resnet.layer2.0.downsample.1.weight", "module.net.feature_pyramid.resnet.layer2.0.downsample.1.bias", "module.net.feature_pyramid.resnet.layer2.0.downsample.1.running_mean", "module.net.feature_pyramid.resnet.layer2.0.downsample.1.running_var", "module.net.feature_pyramid.resnet.layer2.1.conv1.weight", "module.net.feature_pyramid.resnet.layer2.1.bn1.weight", "module.net.feature_pyramid.resnet.layer2.1.bn1.bias", "module.net.feature_pyramid.resnet.layer2.1.bn1.running_mean", "module.net.feature_pyramid.resnet.layer2.1.bn1.running_var", "module.net.feature_pyramid.resnet.layer2.1.conv2.weight", "module.net.feature_pyramid.resnet.layer2.1.bn2.weight", "module.net.feature_pyramid.resnet.layer2.1.bn2.bias", "module.net.feature_pyramid.resnet.layer2.1.bn2.running_mean", "module.net.feature_pyramid.resnet.layer2.1.bn2.running_var", "module.net.feature_pyramid.resnet.layer2.1.conv3.weight", "module.net.feature_pyramid.resnet.layer2.1.bn3.weight", "module.net.feature_pyramid.resnet.layer2.1.bn3.bias", "module.net.feature_pyramid.resnet.layer2.1.bn3.running_mean", "module.net.feature_pyramid.resnet.layer2.1.bn3.running_var", "module.net.feature_pyramid.resnet.layer2.2.conv1.weight", "module.net.feature_pyramid.resnet.layer2.2.bn1.weight", "module.net.feature_pyramid.resnet.layer2.2.bn1.bias", "module.net.feature_pyramid.resnet.layer2.2.bn1.running_mean", "module.net.feature_pyramid.resnet.layer2.2.bn1.running_var", "module.net.feature_pyramid.resnet.layer2.2.conv2.weight", "module.net.feature_pyramid.resnet.layer2.2.bn2.weight", "module.net.feature_pyramid.resnet.layer2.2.bn2.bias", "module.net.feature_pyramid.resnet.layer2.2.bn2.running_mean", "module.net.feature_pyramid.resnet.layer2.2.bn2.running_var", "module.net.feature_pyramid.resnet.layer2.2.conv3.weight", "module.net.feature_pyramid.resnet.layer2.2.bn3.weight", "module.net.feature_pyramid.resnet.layer2.2.bn3.bias", "module.net.feature_pyramid.resnet.layer2.2.bn3.running_mean", "module.net.feature_pyramid.resnet.layer2.2.bn3.running_var", "module.net.feature_pyramid.resnet.layer2.3.conv1.weight", "module.net.feature_pyramid.resnet.layer2.3.bn1.weight", "module.net.feature_pyramid.resnet.layer2.3.bn1.bias", "module.net.feature_pyramid.resnet.layer2.3.bn1.running_mean", "module.net.feature_pyramid.resnet.layer2.3.bn1.running_var", "module.net.feature_pyramid.resnet.layer2.3.conv2.weight", "module.net.feature_pyramid.resnet.layer2.3.bn2.weight", "module.net.feature_pyramid.resnet.layer2.3.bn2.bias", "module.net.feature_pyramid.resnet.layer2.3.bn2.running_mean", "module.net.feature_pyramid.resnet.layer2.3.bn2.running_var", "module.net.feature_pyramid.resnet.layer2.3.conv3.weight", "module.net.feature_pyramid.resnet.layer2.3.bn3.weight", "module.net.feature_pyramid.resnet.layer2.3.bn3.bias", "module.net.feature_pyramid.resnet.layer2.3.bn3.running_mean", "module.net.feature_pyramid.resnet.layer2.3.bn3.running_var", "module.net.feature_pyramid.resnet.layer3.0.conv1.weight", "module.net.feature_pyramid.resnet.layer3.0.bn1.weight", "module.net.feature_pyramid.resnet.layer3.0.bn1.bias", "module.net.feature_pyramid.resnet.layer3.0.bn1.running_mean", "module.net.feature_pyramid.resnet.layer3.0.bn1.running_var", "module.net.feature_pyramid.resnet.layer3.0.conv2.weight", "module.net.feature_pyramid.resnet.layer3.0.bn2.weight", "module.net.feature_pyramid.resnet.layer3.0.bn2.bias", "module.net.feature_pyramid.resnet.layer3.0.bn2.running_mean", "module.net.feature_pyramid.resnet.layer3.0.bn2.running_var", "module.net.feature_pyramid.resnet.layer3.0.conv3.weight", "module.net.feature_pyramid.resnet.layer3.0.bn3.weight", "module.net.feature_pyramid.resnet.layer3.0.bn3.bias", "module.net.feature_pyramid.resnet.layer3.0.bn3.running_mean", "module.net.feature_pyramid.resnet.layer3.0.bn3.running_var", "module.net.feature_pyramid.resnet.layer3.0.downsample.0.weight", "module.net.feature_pyramid.resnet.layer3.0.downsample.1.weight", "module.net.feature_pyramid.resnet.layer3.0.downsample.1.bias", "module.net.feature_pyramid.resnet.layer3.0.downsample.1.running_mean", "module.net.feature_pyramid.resnet.layer3.0.downsample.1.running_var", "module.net.feature_pyramid.resnet.layer3.1.conv1.weight", "module.net.feature_pyramid.resnet.layer3.1.bn1.weight", "module.net.feature_pyramid.resnet.layer3.1.bn1.bias", "module.net.feature_pyramid.resnet.layer3.1.bn1.running_mean", "module.net.feature_pyramid.resnet.layer3.1.bn1.running_var", "module.net.feature_pyramid.resnet.layer3.1.conv2.weight", "module.net.feature_pyramid.resnet.layer3.1.bn2.weight", "module.net.feature_pyramid.resnet.layer3.1.bn2.bias", "module.net.feature_pyramid.resnet.layer3.1.bn2.running_mean", "module.net.feature_pyramid.resnet.layer3.1.bn2.running_var", "module.net.feature_pyramid.resnet.layer3.1.conv3.weight", "module.net.feature_pyramid.resnet.layer3.1.bn3.weight", "module.net.feature_pyramid.resnet.layer3.1.bn3.bias", "module.net.feature_pyramid.resnet.layer3.1.bn3.running_mean", "module.net.feature_pyramid.resnet.layer3.1.bn3.running_var", "module.net.feature_pyramid.resnet.layer3.2.conv1.weight", "module.net.feature_pyramid.resnet.layer3.2.bn1.weight", "module.net.feature_pyramid.resnet.layer3.2.bn1.bias", "module.net.feature_pyramid.resnet.layer3.2.bn1.running_mean", "module.net.feature_pyramid.resnet.layer3.2.bn1.running_var", "module.net.feature_pyramid.resnet.layer3.2.conv2.weight", "module.net.feature_pyramid.resnet.layer3.2.bn2.weight", "module.net.feature_pyramid.resnet.layer3.2.bn2.bias", "module.net.feature_pyramid.resnet.layer3.2.bn2.running_mean", "module.net.feature_pyramid.resnet.layer3.2.bn2.running_var", "module.net.feature_pyramid.resnet.layer3.2.conv3.weight", "module.net.feature_pyramid.resnet.layer3.2.bn3.weight", "module.net.feature_pyramid.resnet.layer3.2.bn3.bias", "module.net.feature_pyramid.resnet.layer3.2.bn3.running_mean", "module.net.feature_pyramid.resnet.layer3.2.bn3.running_var", "module.net.feature_pyramid.resnet.layer3.3.conv1.weight", "module.net.feature_pyramid.resnet.layer3.3.bn1.weight", "module.net.feature_pyramid.resnet.layer3.3.bn1.bias", "module.net.feature_pyramid.resnet.layer3.3.bn1.running_mean", "module.net.feature_pyramid.resnet.layer3.3.bn1.running_var", "module.net.feature_pyramid.resnet.layer3.3.conv2.weight", "module.net.feature_pyramid.resnet.layer3.3.bn2.weight", "module.net.feature_pyramid.resnet.layer3.3.bn2.bias", "module.net.feature_pyramid.resnet.layer3.3.bn2.running_mean", "module.net.feature_pyramid.resnet.layer3.3.bn2.running_var", "module.net.feature_pyramid.resnet.layer3.3.conv3.weight", "module.net.feature_pyramid.resnet.layer3.3.bn3.weight", "module.net.feature_pyramid.resnet.layer3.3.bn3.bias", "module.net.feature_pyramid.resnet.layer3.3.bn3.running_mean", "module.net.feature_pyramid.resnet.layer3.3.bn3.running_var", "module.net.feature_pyramid.resnet.layer3.4.conv1.weight", "module.net.feature_pyramid.resnet.layer3.4.bn1.weight", "module.net.feature_pyramid.resnet.layer3.4.bn1.bias", "module.net.feature_pyramid.resnet.layer3.4.bn1.running_mean", "module.net.feature_pyramid.resnet.layer3.4.bn1.running_var", "module.net.feature_pyramid.resnet.layer3.4.conv2.weight", "module.net.feature_pyramid.resnet.layer3.4.bn2.weight", "module.net.feature_pyramid.resnet.layer3.4.bn2.bias", "module.net.feature_pyramid.resnet.layer3.4.bn2.running_mean", "module.net.feature_pyramid.resnet.layer3.4.bn2.running_var", "module.net.feature_pyramid.resnet.layer3.4.conv3.weight", "module.net.feature_pyramid.resnet.layer3.4.bn3.weight", "module.net.feature_pyramid.resnet.layer3.4.bn3.bias", "module.net.feature_pyramid.resnet.layer3.4.bn3.running_mean", "module.net.feature_pyramid.resnet.layer3.4.bn3.running_var", "module.net.feature_pyramid.resnet.layer3.5.conv1.weight", "module.net.feature_pyramid.resnet.layer3.5.bn1.weight", "module.net.feature_pyramid.resnet.layer3.5.bn1.bias", "module.net.feature_pyramid.resnet.layer3.5.bn1.running_mean", "module.net.feature_pyramid.resnet.layer3.5.bn1.running_var", "module.net.feature_pyramid.resnet.layer3.5.conv2.weight", "module.net.feature_pyramid.resnet.layer3.5.bn2.weight", "module.net.feature_pyramid.resnet.layer3.5.bn2.bias", "module.net.feature_pyramid.resnet.layer3.5.bn2.running_mean", "module.net.feature_pyramid.resnet.layer3.5.bn2.running_var", "module.net.feature_pyramid.resnet.layer3.5.conv3.weight", "module.net.feature_pyramid.resnet.layer3.5.bn3.weight", "module.net.feature_pyramid.resnet.layer3.5.bn3.bias", "module.net.feature_pyramid.resnet.layer3.5.bn3.running_mean", "module.net.feature_pyramid.resnet.layer3.5.bn3.running_var", "module.net.feature_pyramid.resnet.layer4.0.conv1.weight", "module.net.feature_pyramid.resnet.layer4.0.bn1.weight", "module.net.feature_pyramid.resnet.layer4.0.bn1.bias", "module.net.feature_pyramid.resnet.layer4.0.bn1.running_mean", "module.net.feature_pyramid.resnet.layer4.0.bn1.running_var", "module.net.feature_pyramid.resnet.layer4.0.conv2.weight", "module.net.feature_pyramid.resnet.layer4.0.bn2.weight", "module.net.feature_pyramid.resnet.layer4.0.bn2.bias", "module.net.feature_pyramid.resnet.layer4.0.bn2.running_mean", "module.net.feature_pyramid.resnet.layer4.0.bn2.running_var", "module.net.feature_pyramid.resnet.layer4.0.conv3.weight", "module.net.feature_pyramid.resnet.layer4.0.bn3.weight", "module.net.feature_pyramid.resnet.layer4.0.bn3.bias", "module.net.feature_pyramid.resnet.layer4.0.bn3.running_mean", "module.net.feature_pyramid.resnet.layer4.0.bn3.running_var", "module.net.feature_pyramid.resnet.layer4.0.downsample.0.weight", "module.net.feature_pyramid.resnet.layer4.0.downsample.1.weight", "module.net.feature_pyramid.resnet.layer4.0.downsample.1.bias", "module.net.feature_pyramid.resnet.layer4.0.downsample.1.running_mean", "module.net.feature_pyramid.resnet.layer4.0.downsample.1.running_var", "module.net.feature_pyramid.resnet.layer4.1.conv1.weight", "module.net.feature_pyramid.resnet.layer4.1.bn1.weight", "module.net.feature_pyramid.resnet.layer4.1.bn1.bias", "module.net.feature_pyramid.resnet.layer4.1.bn1.running_mean", "module.net.feature_pyramid.resnet.layer4.1.bn1.running_var", "module.net.feature_pyramid.resnet.layer4.1.conv2.weight", "module.net.feature_pyramid.resnet.layer4.1.bn2.weight", "module.net.feature_pyramid.resnet.layer4.1.bn2.bias", "module.net.feature_pyramid.resnet.layer4.1.bn2.running_mean", "module.net.feature_pyramid.resnet.layer4.1.bn2.running_var", "module.net.feature_pyramid.resnet.layer4.1.conv3.weight", "module.net.feature_pyramid.resnet.layer4.1.bn3.weight", "module.net.feature_pyramid.resnet.layer4.1.bn3.bias", "module.net.feature_pyramid.resnet.layer4.1.bn3.running_mean", "module.net.feature_pyramid.resnet.layer4.1.bn3.running_var", "module.net.feature_pyramid.resnet.layer4.2.conv1.weight", "module.net.feature_pyramid.resnet.layer4.2.bn1.weight", "module.net.feature_pyramid.resnet.layer4.2.bn1.bias", "module.net.feature_pyramid.resnet.layer4.2.bn1.running_mean", "module.net.feature_pyramid.resnet.layer4.2.bn1.running_var", "module.net.feature_pyramid.resnet.layer4.2.conv2.weight", "module.net.feature_pyramid.resnet.layer4.2.bn2.weight", "module.net.feature_pyramid.resnet.layer4.2.bn2.bias", "module.net.feature_pyramid.resnet.layer4.2.bn2.running_mean", "module.net.feature_pyramid.resnet.layer4.2.bn2.running_var", "module.net.feature_pyramid.resnet.layer4.2.conv3.weight", "module.net.feature_pyramid.resnet.layer4.2.bn3.weight", "module.net.feature_pyramid.resnet.layer4.2.bn3.bias", "module.net.feature_pyramid.resnet.layer4.2.bn3.running_mean", "module.net.feature_pyramid.resnet.layer4.2.bn3.running_var", "module.net.feature_pyramid.resnet.fc.weight", "module.net.feature_pyramid.resnet.fc.bias", "module.net.feature_pyramid.pyramid_transformation_3.weight", "module.net.feature_pyramid.pyramid_transformation_3.bias", "module.net.feature_pyramid.pyramid_transformation_4.weight", "module.net.feature_pyramid.pyramid_transformation_4.bias", "module.net.feature_pyramid.pyramid_transformation_5.weight", "module.net.feature_pyramid.pyramid_transformation_5.bias", "module.net.feature_pyramid.pyramid_transformation_6.weight", "module.net.feature_pyramid.pyramid_transformation_6.bias", "module.net.feature_pyramid.pyramid_transformation_7.weight", "module.net.feature_pyramid.pyramid_transformation_7.bias", "module.net.feature_pyramid.upsample_transform_1.weight", "module.net.feature_pyramid.upsample_transform_1.bias", "module.net.feature_pyramid.upsample_transform_2.weight", "module.net.feature_pyramid.upsample_transform_2.bias", "module.net.feature_pyramid.downsample_transformation_12.weight", "module.net.feature_pyramid.downsample_transformation_12.bias", "module.net.feature_pyramid.downsample_transformation_21.weight", "module.net.feature_pyramid.downsample_transformation_21.bias", "module.net.subnet_tl_centers_regr.subnet_base.0.weight", "module.net.subnet_tl_centers_regr.subnet_base.0.bias", "module.net.subnet_tl_centers_regr.subnet_base.1.weight", "module.net.subnet_tl_centers_regr.subnet_base.1.bias", "module.net.subnet_tl_centers_regr.subnet_base.2.weight", "module.net.subnet_tl_centers_regr.subnet_base.2.bias", "module.net.subnet_tl_centers_regr.subnet_base.3.weight", "module.net.subnet_tl_centers_regr.subnet_base.3.bias", "module.net.subnet_tl_centers_regr.subnet_output.weight", "module.net.subnet_tl_centers_regr.subnet_output.bias", "module.net.subnet_br_centers_regr.subnet_base.0.weight", "module.net.subnet_br_centers_regr.subnet_base.0.bias", "module.net.subnet_br_centers_regr.subnet_base.1.weight", "module.net.subnet_br_centers_regr.subnet_base.1.bias", "module.net.subnet_br_centers_regr.subnet_base.2.weight", "module.net.subnet_br_centers_regr.subnet_base.2.bias", "module.net.subnet_br_centers_regr.subnet_base.3.weight", "module.net.subnet_br_centers_regr.subnet_base.3.bias", "module.net.subnet_br_centers_regr.subnet_output.weight", "module.net.subnet_br_centers_regr.subnet_output.bias", "module.net.subnet_tl_heats.subnet_base.0.weight", "module.net.subnet_tl_heats.subnet_base.0.bias", "module.net.subnet_tl_heats.subnet_base.1.weight", "module.net.subnet_tl_heats.subnet_base.1.bias", "module.net.subnet_tl_heats.subnet_base.2.weight", "module.net.subnet_tl_heats.subnet_base.2.bias", "module.net.subnet_tl_heats.subnet_base.3.weight", "module.net.subnet_tl_heats.subnet_base.3.bias", "module.net.subnet_tl_heats.subnet_output.weight", "module.net.subnet_tl_heats.subnet_output.bias", "module.net.subnet_br_heats.subnet_base.0.weight", "module.net.subnet_br_heats.subnet_base.0.bias", "module.net.subnet_br_heats.subnet_base.1.weight", "module.net.subnet_br_heats.subnet_base.1.bias", "module.net.subnet_br_heats.subnet_base.2.weight", "module.net.subnet_br_heats.subnet_base.2.bias", "module.net.subnet_br_heats.subnet_base.3.weight", "module.net.subnet_br_heats.subnet_base.3.bias", "module.net.subnet_br_heats.subnet_output.weight", "module.net.subnet_br_heats.subnet_output.bias".
Unexpected key(s) in state_dict: "module.net.matrix_net.resnet.conv1.weight", "module.net.matrix_net.resnet.bn1.weight", "module.net.matrix_net.resnet.bn1.bias", "module.net.matrix_net.resnet.bn1.running_mean", "module.net.matrix_net.resnet.bn1.running_var", "module.net.matrix_net.resnet.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer1.0.conv1.weight", "module.net.matrix_net.resnet.layer1.0.bn1.weight", "module.net.matrix_net.resnet.layer1.0.bn1.bias", "module.net.matrix_net.resnet.layer1.0.bn1.running_mean", "module.net.matrix_net.resnet.layer1.0.bn1.running_var", "module.net.matrix_net.resnet.layer1.0.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer1.0.conv2.weight", "module.net.matrix_net.resnet.layer1.0.bn2.weight", "module.net.matrix_net.resnet.layer1.0.bn2.bias", "module.net.matrix_net.resnet.layer1.0.bn2.running_mean", "module.net.matrix_net.resnet.layer1.0.bn2.running_var", "module.net.matrix_net.resnet.layer1.0.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer1.0.conv3.weight", "module.net.matrix_net.resnet.layer1.0.bn3.weight", "module.net.matrix_net.resnet.layer1.0.bn3.bias", "module.net.matrix_net.resnet.layer1.0.bn3.running_mean", "module.net.matrix_net.resnet.layer1.0.bn3.running_var", "module.net.matrix_net.resnet.layer1.0.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer1.0.downsample.0.weight", "module.net.matrix_net.resnet.layer1.0.downsample.1.weight", "module.net.matrix_net.resnet.layer1.0.downsample.1.bias", "module.net.matrix_net.resnet.layer1.0.downsample.1.running_mean", "module.net.matrix_net.resnet.layer1.0.downsample.1.running_var", "module.net.matrix_net.resnet.layer1.0.downsample.1.num_batches_tracked", "module.net.matrix_net.resnet.layer1.1.conv1.weight", "module.net.matrix_net.resnet.layer1.1.bn1.weight", "module.net.matrix_net.resnet.layer1.1.bn1.bias", "module.net.matrix_net.resnet.layer1.1.bn1.running_mean", "module.net.matrix_net.resnet.layer1.1.bn1.running_var", "module.net.matrix_net.resnet.layer1.1.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer1.1.conv2.weight", "module.net.matrix_net.resnet.layer1.1.bn2.weight", "module.net.matrix_net.resnet.layer1.1.bn2.bias", "module.net.matrix_net.resnet.layer1.1.bn2.running_mean", "module.net.matrix_net.resnet.layer1.1.bn2.running_var", "module.net.matrix_net.resnet.layer1.1.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer1.1.conv3.weight", "module.net.matrix_net.resnet.layer1.1.bn3.weight", "module.net.matrix_net.resnet.layer1.1.bn3.bias", "module.net.matrix_net.resnet.layer1.1.bn3.running_mean", "module.net.matrix_net.resnet.layer1.1.bn3.running_var", "module.net.matrix_net.resnet.layer1.1.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer1.2.conv1.weight", "module.net.matrix_net.resnet.layer1.2.bn1.weight", "module.net.matrix_net.resnet.layer1.2.bn1.bias", "module.net.matrix_net.resnet.layer1.2.bn1.running_mean", "module.net.matrix_net.resnet.layer1.2.bn1.running_var", "module.net.matrix_net.resnet.layer1.2.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer1.2.conv2.weight", "module.net.matrix_net.resnet.layer1.2.bn2.weight", "module.net.matrix_net.resnet.layer1.2.bn2.bias", "module.net.matrix_net.resnet.layer1.2.bn2.running_mean", "module.net.matrix_net.resnet.layer1.2.bn2.running_var", "module.net.matrix_net.resnet.layer1.2.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer1.2.conv3.weight", "module.net.matrix_net.resnet.layer1.2.bn3.weight", "module.net.matrix_net.resnet.layer1.2.bn3.bias", "module.net.matrix_net.resnet.layer1.2.bn3.running_mean", "module.net.matrix_net.resnet.layer1.2.bn3.running_var", "module.net.matrix_net.resnet.layer1.2.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer2.0.conv1.weight", "module.net.matrix_net.resnet.layer2.0.bn1.weight", "module.net.matrix_net.resnet.layer2.0.bn1.bias", "module.net.matrix_net.resnet.layer2.0.bn1.running_mean", "module.net.matrix_net.resnet.layer2.0.bn1.running_var", "module.net.matrix_net.resnet.layer2.0.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer2.0.conv2.weight", "module.net.matrix_net.resnet.layer2.0.bn2.weight", "module.net.matrix_net.resnet.layer2.0.bn2.bias", "module.net.matrix_net.resnet.layer2.0.bn2.running_mean", "module.net.matrix_net.resnet.layer2.0.bn2.running_var", "module.net.matrix_net.resnet.layer2.0.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer2.0.conv3.weight", "module.net.matrix_net.resnet.layer2.0.bn3.weight", "module.net.matrix_net.resnet.layer2.0.bn3.bias", "module.net.matrix_net.resnet.layer2.0.bn3.running_mean", "module.net.matrix_net.resnet.layer2.0.bn3.running_var", "module.net.matrix_net.resnet.layer2.0.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer2.0.downsample.0.weight", "module.net.matrix_net.resnet.layer2.0.downsample.1.weight", "module.net.matrix_net.resnet.layer2.0.downsample.1.bias", "module.net.matrix_net.resnet.layer2.0.downsample.1.running_mean", "module.net.matrix_net.resnet.layer2.0.downsample.1.running_var", "module.net.matrix_net.resnet.layer2.0.downsample.1.num_batches_tracked", "module.net.matrix_net.resnet.layer2.1.conv1.weight", "module.net.matrix_net.resnet.layer2.1.bn1.weight", "module.net.matrix_net.resnet.layer2.1.bn1.bias", "module.net.matrix_net.resnet.layer2.1.bn1.running_mean", "module.net.matrix_net.resnet.layer2.1.bn1.running_var", "module.net.matrix_net.resnet.layer2.1.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer2.1.conv2.weight", "module.net.matrix_net.resnet.layer2.1.bn2.weight", "module.net.matrix_net.resnet.layer2.1.bn2.bias", "module.net.matrix_net.resnet.layer2.1.bn2.running_mean", "module.net.matrix_net.resnet.layer2.1.bn2.running_var", "module.net.matrix_net.resnet.layer2.1.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer2.1.conv3.weight", "module.net.matrix_net.resnet.layer2.1.bn3.weight", "module.net.matrix_net.resnet.layer2.1.bn3.bias", "module.net.matrix_net.resnet.layer2.1.bn3.running_mean", "module.net.matrix_net.resnet.layer2.1.bn3.running_var", "module.net.matrix_net.resnet.layer2.1.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer2.2.conv1.weight", "module.net.matrix_net.resnet.layer2.2.bn1.weight", "module.net.matrix_net.resnet.layer2.2.bn1.bias", "module.net.matrix_net.resnet.layer2.2.bn1.running_mean", "module.net.matrix_net.resnet.layer2.2.bn1.running_var", "module.net.matrix_net.resnet.layer2.2.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer2.2.conv2.weight", "module.net.matrix_net.resnet.layer2.2.bn2.weight", "module.net.matrix_net.resnet.layer2.2.bn2.bias", "module.net.matrix_net.resnet.layer2.2.bn2.running_mean", "module.net.matrix_net.resnet.layer2.2.bn2.running_var", "module.net.matrix_net.resnet.layer2.2.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer2.2.conv3.weight", "module.net.matrix_net.resnet.layer2.2.bn3.weight", "module.net.matrix_net.resnet.layer2.2.bn3.bias", "module.net.matrix_net.resnet.layer2.2.bn3.running_mean", "module.net.matrix_net.resnet.layer2.2.bn3.running_var", "module.net.matrix_net.resnet.layer2.2.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer2.3.conv1.weight", "module.net.matrix_net.resnet.layer2.3.bn1.weight", "module.net.matrix_net.resnet.layer2.3.bn1.bias", "module.net.matrix_net.resnet.layer2.3.bn1.running_mean", "module.net.matrix_net.resnet.layer2.3.bn1.running_var", "module.net.matrix_net.resnet.layer2.3.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer2.3.conv2.weight", "module.net.matrix_net.resnet.layer2.3.bn2.weight", "module.net.matrix_net.resnet.layer2.3.bn2.bias", "module.net.matrix_net.resnet.layer2.3.bn2.running_mean", "module.net.matrix_net.resnet.layer2.3.bn2.running_var", "module.net.matrix_net.resnet.layer2.3.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer2.3.conv3.weight", "module.net.matrix_net.resnet.layer2.3.bn3.weight", "module.net.matrix_net.resnet.layer2.3.bn3.bias", "module.net.matrix_net.resnet.layer2.3.bn3.running_mean", "module.net.matrix_net.resnet.layer2.3.bn3.running_var", "module.net.matrix_net.resnet.layer2.3.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer3.0.conv1.weight", "module.net.matrix_net.resnet.layer3.0.bn1.weight", "module.net.matrix_net.resnet.layer3.0.bn1.bias", "module.net.matrix_net.resnet.layer3.0.bn1.running_mean", "module.net.matrix_net.resnet.layer3.0.bn1.running_var", "module.net.matrix_net.resnet.layer3.0.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer3.0.conv2.weight", "module.net.matrix_net.resnet.layer3.0.bn2.weight", "module.net.matrix_net.resnet.layer3.0.bn2.bias", "module.net.matrix_net.resnet.layer3.0.bn2.running_mean", "module.net.matrix_net.resnet.layer3.0.bn2.running_var", "module.net.matrix_net.resnet.layer3.0.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer3.0.conv3.weight", "module.net.matrix_net.resnet.layer3.0.bn3.weight", "module.net.matrix_net.resnet.layer3.0.bn3.bias", "module.net.matrix_net.resnet.layer3.0.bn3.running_mean", "module.net.matrix_net.resnet.layer3.0.bn3.running_var", "module.net.matrix_net.resnet.layer3.0.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer3.0.downsample.0.weight", "module.net.matrix_net.resnet.layer3.0.downsample.1.weight", "module.net.matrix_net.resnet.layer3.0.downsample.1.bias", "module.net.matrix_net.resnet.layer3.0.downsample.1.running_mean", "module.net.matrix_net.resnet.layer3.0.downsample.1.running_var", "module.net.matrix_net.resnet.layer3.0.downsample.1.num_batches_tracked", "module.net.matrix_net.resnet.layer3.1.conv1.weight", "module.net.matrix_net.resnet.layer3.1.bn1.weight", "module.net.matrix_net.resnet.layer3.1.bn1.bias", "module.net.matrix_net.resnet.layer3.1.bn1.running_mean", "module.net.matrix_net.resnet.layer3.1.bn1.running_var", "module.net.matrix_net.resnet.layer3.1.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer3.1.conv2.weight", "module.net.matrix_net.resnet.layer3.1.bn2.weight", "module.net.matrix_net.resnet.layer3.1.bn2.bias", "module.net.matrix_net.resnet.layer3.1.bn2.running_mean", "module.net.matrix_net.resnet.layer3.1.bn2.running_var", "module.net.matrix_net.resnet.layer3.1.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer3.1.conv3.weight", "module.net.matrix_net.resnet.layer3.1.bn3.weight", "module.net.matrix_net.resnet.layer3.1.bn3.bias", "module.net.matrix_net.resnet.layer3.1.bn3.running_mean", "module.net.matrix_net.resnet.layer3.1.bn3.running_var", "module.net.matrix_net.resnet.layer3.1.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer3.2.conv1.weight", "module.net.matrix_net.resnet.layer3.2.bn1.weight", "module.net.matrix_net.resnet.layer3.2.bn1.bias", "module.net.matrix_net.resnet.layer3.2.bn1.running_mean", "module.net.matrix_net.resnet.layer3.2.bn1.running_var", "module.net.matrix_net.resnet.layer3.2.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer3.2.conv2.weight", "module.net.matrix_net.resnet.layer3.2.bn2.weight", "module.net.matrix_net.resnet.layer3.2.bn2.bias", "module.net.matrix_net.resnet.layer3.2.bn2.running_mean", "module.net.matrix_net.resnet.layer3.2.bn2.running_var", "module.net.matrix_net.resnet.layer3.2.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer3.2.conv3.weight", "module.net.matrix_net.resnet.layer3.2.bn3.weight", "module.net.matrix_net.resnet.layer3.2.bn3.bias", "module.net.matrix_net.resnet.layer3.2.bn3.running_mean", "module.net.matrix_net.resnet.layer3.2.bn3.running_var", "module.net.matrix_net.resnet.layer3.2.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer3.3.conv1.weight", "module.net.matrix_net.resnet.layer3.3.bn1.weight", "module.net.matrix_net.resnet.layer3.3.bn1.bias", "module.net.matrix_net.resnet.layer3.3.bn1.running_mean", "module.net.matrix_net.resnet.layer3.3.bn1.running_var", "module.net.matrix_net.resnet.layer3.3.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer3.3.conv2.weight", "module.net.matrix_net.resnet.layer3.3.bn2.weight", "module.net.matrix_net.resnet.layer3.3.bn2.bias", "module.net.matrix_net.resnet.layer3.3.bn2.running_mean", "module.net.matrix_net.resnet.layer3.3.bn2.running_var", "module.net.matrix_net.resnet.layer3.3.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer3.3.conv3.weight", "module.net.matrix_net.resnet.layer3.3.bn3.weight", "module.net.matrix_net.resnet.layer3.3.bn3.bias", "module.net.matrix_net.resnet.layer3.3.bn3.running_mean", "module.net.matrix_net.resnet.layer3.3.bn3.running_var", "module.net.matrix_net.resnet.layer3.3.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer3.4.conv1.weight", "module.net.matrix_net.resnet.layer3.4.bn1.weight", "module.net.matrix_net.resnet.layer3.4.bn1.bias", "module.net.matrix_net.resnet.layer3.4.bn1.running_mean", "module.net.matrix_net.resnet.layer3.4.bn1.running_var", "module.net.matrix_net.resnet.layer3.4.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer3.4.conv2.weight", "module.net.matrix_net.resnet.layer3.4.bn2.weight", "module.net.matrix_net.resnet.layer3.4.bn2.bias", "module.net.matrix_net.resnet.layer3.4.bn2.running_mean", "module.net.matrix_net.resnet.layer3.4.bn2.running_var", "module.net.matrix_net.resnet.layer3.4.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer3.4.conv3.weight", "module.net.matrix_net.resnet.layer3.4.bn3.weight", "module.net.matrix_net.resnet.layer3.4.bn3.bias", "module.net.matrix_net.resnet.layer3.4.bn3.running_mean", "module.net.matrix_net.resnet.layer3.4.bn3.running_var", "module.net.matrix_net.resnet.layer3.4.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer3.5.conv1.weight", "module.net.matrix_net.resnet.layer3.5.bn1.weight", "module.net.matrix_net.resnet.layer3.5.bn1.bias", "module.net.matrix_net.resnet.layer3.5.bn1.running_mean", "module.net.matrix_net.resnet.layer3.5.bn1.running_var", "module.net.matrix_net.resnet.layer3.5.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer3.5.conv2.weight", "module.net.matrix_net.resnet.layer3.5.bn2.weight", "module.net.matrix_net.resnet.layer3.5.bn2.bias", "module.net.matrix_net.resnet.layer3.5.bn2.running_mean", "module.net.matrix_net.resnet.layer3.5.bn2.running_var", "module.net.matrix_net.resnet.layer3.5.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer3.5.conv3.weight", "module.net.matrix_net.resnet.layer3.5.bn3.weight", "module.net.matrix_net.resnet.layer3.5.bn3.bias", "module.net.matrix_net.resnet.layer3.5.bn3.running_mean", "module.net.matrix_net.resnet.layer3.5.bn3.running_var", "module.net.matrix_net.resnet.layer3.5.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer4.0.conv1.weight", "module.net.matrix_net.resnet.layer4.0.bn1.weight", "module.net.matrix_net.resnet.layer4.0.bn1.bias", "module.net.matrix_net.resnet.layer4.0.bn1.running_mean", "module.net.matrix_net.resnet.layer4.0.bn1.running_var", "module.net.matrix_net.resnet.layer4.0.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer4.0.conv2.weight", "module.net.matrix_net.resnet.layer4.0.bn2.weight", "module.net.matrix_net.resnet.layer4.0.bn2.bias", "module.net.matrix_net.resnet.layer4.0.bn2.running_mean", "module.net.matrix_net.resnet.layer4.0.bn2.running_var", "module.net.matrix_net.resnet.layer4.0.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer4.0.conv3.weight", "module.net.matrix_net.resnet.layer4.0.bn3.weight", "module.net.matrix_net.resnet.layer4.0.bn3.bias", "module.net.matrix_net.resnet.layer4.0.bn3.running_mean", "module.net.matrix_net.resnet.layer4.0.bn3.running_var", "module.net.matrix_net.resnet.layer4.0.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer4.0.downsample.0.weight", "module.net.matrix_net.resnet.layer4.0.downsample.1.weight", "module.net.matrix_net.resnet.layer4.0.downsample.1.bias", "module.net.matrix_net.resnet.layer4.0.downsample.1.running_mean", "module.net.matrix_net.resnet.layer4.0.downsample.1.running_var", "module.net.matrix_net.resnet.layer4.0.downsample.1.num_batches_tracked", "module.net.matrix_net.resnet.layer4.1.conv1.weight", "module.net.matrix_net.resnet.layer4.1.bn1.weight", "module.net.matrix_net.resnet.layer4.1.bn1.bias", "module.net.matrix_net.resnet.layer4.1.bn1.running_mean", "module.net.matrix_net.resnet.layer4.1.bn1.running_var", "module.net.matrix_net.resnet.layer4.1.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer4.1.conv2.weight", "module.net.matrix_net.resnet.layer4.1.bn2.weight", "module.net.matrix_net.resnet.layer4.1.bn2.bias", "module.net.matrix_net.resnet.layer4.1.bn2.running_mean", "module.net.matrix_net.resnet.layer4.1.bn2.running_var", "module.net.matrix_net.resnet.layer4.1.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer4.1.conv3.weight", "module.net.matrix_net.resnet.layer4.1.bn3.weight", "module.net.matrix_net.resnet.layer4.1.bn3.bias", "module.net.matrix_net.resnet.layer4.1.bn3.running_mean", "module.net.matrix_net.resnet.layer4.1.bn3.running_var", "module.net.matrix_net.resnet.layer4.1.bn3.num_batches_tracked", "module.net.matrix_net.resnet.layer4.2.conv1.weight", "module.net.matrix_net.resnet.layer4.2.bn1.weight", "module.net.matrix_net.resnet.layer4.2.bn1.bias", "module.net.matrix_net.resnet.layer4.2.bn1.running_mean", "module.net.matrix_net.resnet.layer4.2.bn1.running_var", "module.net.matrix_net.resnet.layer4.2.bn1.num_batches_tracked", "module.net.matrix_net.resnet.layer4.2.conv2.weight", "module.net.matrix_net.resnet.layer4.2.bn2.weight", "module.net.matrix_net.resnet.layer4.2.bn2.bias", "module.net.matrix_net.resnet.layer4.2.bn2.running_mean", "module.net.matrix_net.resnet.layer4.2.bn2.running_var", "module.net.matrix_net.resnet.layer4.2.bn2.num_batches_tracked", "module.net.matrix_net.resnet.layer4.2.conv3.weight", "module.net.matrix_net.resnet.layer4.2.bn3.weight", "module.net.matrix_net.resnet.layer4.2.bn3.bias", "module.net.matrix_net.resnet.layer4.2.bn3.running_mean", "module.net.matrix_net.resnet.layer4.2.bn3.running_var", "module.net.matrix_net.resnet.layer4.2.bn3.num_batches_tracked", "module.net.matrix_net.resnet.fc.weight", "module.net.matrix_net.resnet.fc.bias", "module.net.matrix_net.pyramid_transformation_3.weight", "module.net.matrix_net.pyramid_transformation_3.bias", "module.net.matrix_net.pyramid_transformation_4.weight", "module.net.matrix_net.pyramid_transformation_4.bias", "module.net.matrix_net.pyramid_transformation_5.weight", "module.net.matrix_net.pyramid_transformation_5.bias", "module.net.matrix_net.pyramid_transformation_6.weight", "module.net.matrix_net.pyramid_transformation_6.bias", "module.net.matrix_net.pyramid_transformation_7.weight", "module.net.matrix_net.pyramid_transformation_7.bias", "module.net.matrix_net.upsample_transform_1.weight", "module.net.matrix_net.upsample_transform_1.bias", "module.net.matrix_net.upsample_transform_2.weight", "module.net.matrix_net.upsample_transform_2.bias", "module.net.matrix_net.downsample_transformation_12.weight", "module.net.matrix_net.downsample_transformation_12.bias", "module.net.matrix_net.downsample_transformation_21.weight", "module.net.matrix_net.downsample_transformation_21.bias", "module.net.subnet_anchors_heats.subnet_base.0.weight", "module.net.subnet_anchors_heats.subnet_base.0.bias", "module.net.subnet_anchors_heats.subnet_base.1.weight", "module.net.subnet_anchors_heats.subnet_base.1.bias", "module.net.subnet_anchors_heats.subnet_base.2.weight", "module.net.subnet_anchors_heats.subnet_base.2.bias", "module.net.subnet_anchors_heats.subnet_base.3.weight", "module.net.subnet_anchors_heats.subnet_base.3.bias", "module.net.subnet_anchors_heats.subnet_output.weight", "module.net.subnet_anchors_heats.subnet_output.bias".