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import os.path as osp | |
import tempfile | |
from copy import deepcopy | |
import pytest | |
from mmcv.utils import Config | |
from mmdet.utils import replace_cfg_vals | |
def test_replace_cfg_vals(): | |
temp_file = tempfile.NamedTemporaryFile() | |
cfg_path = f'{temp_file.name}.py' | |
with open(cfg_path, 'w') as f: | |
f.write('configs') | |
ori_cfg_dict = dict() | |
ori_cfg_dict['cfg_name'] = osp.basename(temp_file.name) | |
ori_cfg_dict['work_dir'] = 'work_dirs/${cfg_name}/${percent}/${fold}' | |
ori_cfg_dict['percent'] = 5 | |
ori_cfg_dict['fold'] = 1 | |
ori_cfg_dict['model_wrapper'] = dict( | |
type='SoftTeacher', detector='${model}') | |
ori_cfg_dict['model'] = dict( | |
type='FasterRCNN', | |
backbone=dict(type='ResNet'), | |
neck=dict(type='FPN'), | |
rpn_head=dict(type='RPNHead'), | |
roi_head=dict(type='StandardRoIHead'), | |
train_cfg=dict( | |
rpn=dict( | |
assigner=dict(type='MaxIoUAssigner'), | |
sampler=dict(type='RandomSampler'), | |
), | |
rpn_proposal=dict(nms=dict(type='nms', iou_threshold=0.7)), | |
rcnn=dict( | |
assigner=dict(type='MaxIoUAssigner'), | |
sampler=dict(type='RandomSampler'), | |
), | |
), | |
test_cfg=dict( | |
rpn=dict(nms=dict(type='nms', iou_threshold=0.7)), | |
rcnn=dict(nms=dict(type='nms', iou_threshold=0.5)), | |
), | |
) | |
ori_cfg_dict['iou_threshold'] = dict( | |
rpn_proposal_nms='${model.train_cfg.rpn_proposal.nms.iou_threshold}', | |
test_rpn_nms='${model.test_cfg.rpn.nms.iou_threshold}', | |
test_rcnn_nms='${model.test_cfg.rcnn.nms.iou_threshold}', | |
) | |
ori_cfg_dict['str'] = 'Hello, world!' | |
ori_cfg_dict['dict'] = {'Hello': 'world!'} | |
ori_cfg_dict['list'] = [ | |
'Hello, world!', | |
] | |
ori_cfg_dict['tuple'] = ('Hello, world!', ) | |
ori_cfg_dict['test_str'] = 'xxx${str}xxx' | |
ori_cfg = Config(ori_cfg_dict, filename=cfg_path) | |
updated_cfg = replace_cfg_vals(deepcopy(ori_cfg)) | |
assert updated_cfg.work_dir \ | |
== f'work_dirs/{osp.basename(temp_file.name)}/5/1' | |
assert updated_cfg.model.detector == ori_cfg.model | |
assert updated_cfg.iou_threshold.rpn_proposal_nms \ | |
== ori_cfg.model.train_cfg.rpn_proposal.nms.iou_threshold | |
assert updated_cfg.test_str == 'xxxHello, world!xxx' | |
ori_cfg_dict['test_dict'] = 'xxx${dict}xxx' | |
ori_cfg_dict['test_list'] = 'xxx${list}xxx' | |
ori_cfg_dict['test_tuple'] = 'xxx${tuple}xxx' | |
with pytest.raises(AssertionError): | |
cfg = deepcopy(ori_cfg) | |
cfg['test_dict'] = 'xxx${dict}xxx' | |
updated_cfg = replace_cfg_vals(cfg) | |
with pytest.raises(AssertionError): | |
cfg = deepcopy(ori_cfg) | |
cfg['test_list'] = 'xxx${list}xxx' | |
updated_cfg = replace_cfg_vals(cfg) | |
with pytest.raises(AssertionError): | |
cfg = deepcopy(ori_cfg) | |
cfg['test_tuple'] = 'xxx${tuple}xxx' | |
updated_cfg = replace_cfg_vals(cfg) | |