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MMdet Model for Image Segmentation
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# Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
from mmengine.registry import MODELS
from parameterized import parameterized
from mmdet.testing import get_detector_cfg
from mmdet.utils import register_all_modules
register_all_modules()
class TestSemiBase(TestCase):
@parameterized.expand([
'soft_teacher/'
'soft-teacher_faster-rcnn_r50-caffe_fpn_180k_semi-0.1-coco.py',
])
def test_init(self, cfg_file):
model = get_detector_cfg(cfg_file)
# backbone convert to ResNet18
model.detector.backbone.depth = 18
model.detector.neck.in_channels = [64, 128, 256, 512]
model.detector.backbone.init_cfg = None
model = MODELS.build(model)
self.assertTrue(model.teacher.backbone)
self.assertTrue(model.teacher.neck)
self.assertTrue(model.teacher.rpn_head)
self.assertTrue(model.teacher.roi_head)
self.assertTrue(model.student.backbone)
self.assertTrue(model.student.neck)
self.assertTrue(model.student.rpn_head)
self.assertTrue(model.student.roi_head)