|
import os.path as osp |
|
|
|
import mmcv |
|
|
|
from mmseg.apis import inference_segmentor, init_segmentor |
|
|
|
|
|
def test_test_time_augmentation_on_cpu(): |
|
config_file = 'configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py' |
|
config = mmcv.Config.fromfile(config_file) |
|
|
|
|
|
config.model.pretrained = None |
|
|
|
norm_cfg = dict(type='BN', requires_grad=True) |
|
config.model.backbone.norm_cfg = norm_cfg |
|
config.model.decode_head.norm_cfg = norm_cfg |
|
config.model.auxiliary_head.norm_cfg = norm_cfg |
|
|
|
|
|
config.data.test.pipeline[1].flip = True |
|
|
|
checkpoint_file = None |
|
model = init_segmentor(config, checkpoint_file, device='cpu') |
|
|
|
img = mmcv.imread( |
|
osp.join(osp.dirname(__file__), 'data/color.jpg'), 'color') |
|
result = inference_segmentor(model, img) |
|
assert result[0].shape == (288, 512) |
|
|
