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https://github.com/open-mmlab/mmsegmentation.git
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d5712c4d38
* add inference test * fix E501 line too long (81 > 79 characters * fix wrong config path * fix num of augmentations (2) != num of image meta (1) * Update test_inference.py Co-authored-by: Jerry Jiarui XU <xvjiarui0826@gmail.com>
30 lines
948 B
Python
30 lines
948 B
Python
import os.path as osp
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import mmcv
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from mmseg.apis import inference_segmentor, init_segmentor
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def test_test_time_augmentation_on_cpu():
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config_file = 'configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py'
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config = mmcv.Config.fromfile(config_file)
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# Remove pretrain model download for testing
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config.model.pretrained = None
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# Replace SyncBN with BN to inference on CPU
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norm_cfg = dict(type='BN', requires_grad=True)
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config.model.backbone.norm_cfg = norm_cfg
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config.model.decode_head.norm_cfg = norm_cfg
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config.model.auxiliary_head.norm_cfg = norm_cfg
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# Enable test time augmentation
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config.data.test.pipeline[1].flip = True
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checkpoint_file = None
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model = init_segmentor(config, checkpoint_file, device='cpu')
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img = mmcv.imread(
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osp.join(osp.dirname(__file__), 'data/color.jpg'), 'color')
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result = inference_segmentor(model, img)
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assert result[0].shape == (288, 512)
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