Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
test_config.py 7.12 KB
Newer Older
Jon Crall's avatar
Fix AnchorHead in_channels (#1506)  
Jon Crall committed
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
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172 
from os.path import dirname, exists, join


def _get_config_directory():
    """ Find the predefined detector config directory """
    try:
        # Assume we are running in the source mmdetection repo
        repo_dpath = dirname(dirname(__file__))
    except NameError:
        # For IPython development when this __file__ is not defined
        import mmdet
        repo_dpath = dirname(dirname(mmdet.__file__))
    config_dpath = join(repo_dpath, 'configs')
    if not exists(config_dpath):
        raise Exception('Cannot find config path')
    return config_dpath


def test_config_build_detector():
    """
    Test that all detection models defined in the configs can be initialized.
    """
    from xdoctest.utils import import_module_from_path
    from mmdet.models import build_detector

    config_dpath = _get_config_directory()
    print('Found config_dpath = {!r}'.format(config_dpath))

    # import glob
    # config_fpaths = list(glob.glob(join(config_dpath, '**', '*.py')))
    # config_names = [relpath(p, config_dpath) for p in config_fpaths]

    # Only tests a representative subset of configurations

    config_names = [
        # 'dcn/faster_rcnn_dconv_c3-c5_r50_fpn_1x.py',
        # 'dcn/cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py',
        # 'dcn/faster_rcnn_dpool_r50_fpn_1x.py',
        'dcn/mask_rcnn_dconv_c3-c5_r50_fpn_1x.py',
        # 'dcn/faster_rcnn_dconv_c3-c5_x101_32x4d_fpn_1x.py',
        # 'dcn/cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py',
        # 'dcn/faster_rcnn_mdpool_r50_fpn_1x.py',
        # 'dcn/faster_rcnn_mdconv_c3-c5_group4_r50_fpn_1x.py',
        # 'dcn/faster_rcnn_mdconv_c3-c5_r50_fpn_1x.py',
        # ---
        # 'htc/htc_x101_32x4d_fpn_20e_16gpu.py',
        'htc/htc_without_semantic_r50_fpn_1x.py',
        # 'htc/htc_dconv_c3-c5_mstrain_400_1400_x101_64x4d_fpn_20e.py',
        # 'htc/htc_x101_64x4d_fpn_20e_16gpu.py',
        # 'htc/htc_r50_fpn_1x.py',
        # 'htc/htc_r101_fpn_20e.py',
        # 'htc/htc_r50_fpn_20e.py',
        # ---
        'cityscapes/mask_rcnn_r50_fpn_1x_cityscapes.py',
        # 'cityscapes/faster_rcnn_r50_fpn_1x_cityscapes.py',
        # ---
        # 'scratch/scratch_faster_rcnn_r50_fpn_gn_6x.py',
        # 'scratch/scratch_mask_rcnn_r50_fpn_gn_6x.py',
        # ---
        # 'grid_rcnn/grid_rcnn_gn_head_x101_32x4d_fpn_2x.py',
        'grid_rcnn/grid_rcnn_gn_head_r50_fpn_2x.py',
        # ---
        'double_heads/dh_faster_rcnn_r50_fpn_1x.py',
        # ---
        'empirical_attention/faster_rcnn_r50_fpn_attention_0010_dcn_1x.py',
        # 'empirical_attention/faster_rcnn_r50_fpn_attention_1111_1x.py',
        # 'empirical_attention/faster_rcnn_r50_fpn_attention_0010_1x.py',
        # 'empirical_attention/faster_rcnn_r50_fpn_attention_1111_dcn_1x.py',
        # ---
        # 'ms_rcnn/ms_rcnn_r101_caffe_fpn_1x.py',
        # 'ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x.py',
        # 'ms_rcnn/ms_rcnn_r50_caffe_fpn_1x.py',
        # ---
        # 'guided_anchoring/ga_faster_x101_32x4d_fpn_1x.py',
        # 'guided_anchoring/ga_rpn_x101_32x4d_fpn_1x.py',
        # 'guided_anchoring/ga_retinanet_r50_caffe_fpn_1x.py',
        # 'guided_anchoring/ga_fast_r50_caffe_fpn_1x.py',
        # 'guided_anchoring/ga_retinanet_x101_32x4d_fpn_1x.py',
        # 'guided_anchoring/ga_rpn_r101_caffe_rpn_1x.py',
        # 'guided_anchoring/ga_faster_r50_caffe_fpn_1x.py',
        'guided_anchoring/ga_rpn_r50_caffe_fpn_1x.py',
        # ---
        'foveabox/fovea_r50_fpn_4gpu_1x.py',
        # 'foveabox/fovea_align_gn_ms_r101_fpn_4gpu_2x.py',
        # 'foveabox/fovea_align_gn_r50_fpn_4gpu_2x.py',
        # 'foveabox/fovea_align_gn_r101_fpn_4gpu_2x.py',
        'foveabox/fovea_align_gn_ms_r50_fpn_4gpu_2x.py',
        # ---
        # 'hrnet/cascade_rcnn_hrnetv2p_w32_20e.py',
        # 'hrnet/mask_rcnn_hrnetv2p_w32_1x.py',
        # 'hrnet/cascade_mask_rcnn_hrnetv2p_w32_20e.py',
        # 'hrnet/htc_hrnetv2p_w32_20e.py',
        # 'hrnet/faster_rcnn_hrnetv2p_w18_1x.py',
        # 'hrnet/mask_rcnn_hrnetv2p_w18_1x.py',
        # 'hrnet/faster_rcnn_hrnetv2p_w32_1x.py',
        # 'hrnet/faster_rcnn_hrnetv2p_w40_1x.py',
        'hrnet/fcos_hrnetv2p_w32_gn_1x_4gpu.py',
        # ---
        # 'gn+ws/faster_rcnn_r50_fpn_gn_ws_1x.py',
        # 'gn+ws/mask_rcnn_x101_32x4d_fpn_gn_ws_2x.py',
        'gn+ws/mask_rcnn_r50_fpn_gn_ws_2x.py',
        # 'gn+ws/mask_rcnn_r50_fpn_gn_ws_20_23_24e.py',
        # ---
        # 'wider_face/ssd300_wider_face.py',
        # ---
        'pascal_voc/ssd300_voc.py',
        'pascal_voc/faster_rcnn_r50_fpn_1x_voc0712.py',
        'pascal_voc/ssd512_voc.py',
        # ---
        # 'gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_syncbn_1x.py',
        # 'gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_syncbn_1x.py',
        # 'gcnet/mask_rcnn_r4_gcb_c3-c5_r50_fpn_1x.py',
        # 'gcnet/mask_rcnn_r16_gcb_c3-c5_r50_fpn_1x.py',
        'gcnet/mask_rcnn_r50_fpn_sbn_1x.py',
        # ---
        'gn/mask_rcnn_r50_fpn_gn_contrib_2x.py',
        # 'gn/mask_rcnn_r50_fpn_gn_2x.py',
        # 'gn/mask_rcnn_r101_fpn_gn_2x.py',
        # ---
        # 'reppoints/reppoints_moment_x101_dcn_fpn_2x.py',
        'reppoints/reppoints_moment_r50_fpn_2x.py',
        # 'reppoints/reppoints_moment_x101_dcn_fpn_2x_mt.py',
        'reppoints/reppoints_partial_minmax_r50_fpn_1x.py',
        'reppoints/bbox_r50_grid_center_fpn_1x.py',
        # 'reppoints/reppoints_moment_r101_dcn_fpn_2x.py',
        # 'reppoints/reppoints_moment_r101_fpn_2x_mt.py',
        # 'reppoints/reppoints_moment_r50_fpn_2x_mt.py',
        'reppoints/reppoints_minmax_r50_fpn_1x.py',
        # 'reppoints/reppoints_moment_r50_fpn_1x.py',
        # 'reppoints/reppoints_moment_r101_fpn_2x.py',
        # 'reppoints/reppoints_moment_r101_dcn_fpn_2x_mt.py',
        'reppoints/bbox_r50_grid_fpn_1x.py',
        # ---
        # 'fcos/fcos_mstrain_640_800_x101_64x4d_fpn_gn_2x.py',
        # 'fcos/fcos_mstrain_640_800_r101_caffe_fpn_gn_2x_4gpu.py',
        'fcos/fcos_r50_caffe_fpn_gn_1x_4gpu.py',
        # ---
        'albu_example/mask_rcnn_r50_fpn_1x.py',
        # ---
        'libra_rcnn/libra_faster_rcnn_r50_fpn_1x.py',
        # 'libra_rcnn/libra_retinanet_r50_fpn_1x.py',
        # 'libra_rcnn/libra_faster_rcnn_r101_fpn_1x.py',
        # 'libra_rcnn/libra_faster_rcnn_x101_64x4d_fpn_1x.py',
        # 'libra_rcnn/libra_fast_rcnn_r50_fpn_1x.py',
        # ---
        # 'ghm/retinanet_ghm_r50_fpn_1x.py',
        # ---
        # 'fp16/retinanet_r50_fpn_fp16_1x.py',
        'fp16/mask_rcnn_r50_fpn_fp16_1x.py',
        'fp16/faster_rcnn_r50_fpn_fp16_1x.py'
    ]

    print('Using {} config files'.format(len(config_names)))

    for config_fname in config_names:
        config_fpath = join(config_dpath, config_fname)
        config_mod = import_module_from_path(config_fpath)

        config_mod.model
        config_mod.train_cfg
        config_mod.test_cfg
        print('Building detector, config_fpath = {!r}'.format(config_fpath))

        # Remove pretrained keys to allow for testing in an offline environment
        if 'pretrained' in config_mod.model:
            config_mod.model['pretrained'] = None

        detector = build_detector(
            config_mod.model,
            train_cfg=config_mod.train_cfg,
            test_cfg=config_mod.test_cfg)
        assert detector is not None