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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9662182 * clean up test level
62 lines
2.7 KiB
Python
62 lines
2.7 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os
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import unittest
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from modelscope.hub.snapshot_download import snapshot_download
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from modelscope.models import Model
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from modelscope.models.cv.image_instance_segmentation import \
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CascadeMaskRCNNSwinModel
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from modelscope.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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from modelscope.pipelines.cv import ImageInstanceSegmentationPipeline
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from modelscope.preprocessors import build_preprocessor
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from modelscope.utils.config import Config
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from modelscope.utils.constant import Fields, ModelFile, Tasks
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from modelscope.utils.test_utils import test_level
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class ImageInstanceSegmentationTest(unittest.TestCase):
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model_id = 'damo/cv_swin-b_image-instance-segmentation_coco'
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image = 'data/test/images/image_instance_segmentation.jpg'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_with_model_from_modelhub(self):
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model = Model.from_pretrained(self.model_id)
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config_path = os.path.join(model.model_dir, ModelFile.CONFIGURATION)
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cfg = Config.from_file(config_path)
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preprocessor = build_preprocessor(cfg.preprocessor, Fields.cv)
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pipeline_ins = pipeline(
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task=Tasks.image_segmentation,
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model=model,
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preprocessor=preprocessor)
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print(pipeline_ins(input=self.image)[OutputKeys.LABELS])
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_with_model_name(self):
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pipeline_ins = pipeline(
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task=Tasks.image_segmentation, model=self.model_id)
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print(pipeline_ins(input=self.image)[OutputKeys.LABELS])
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_with_default_model(self):
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pipeline_ins = pipeline(task=Tasks.image_segmentation)
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print(pipeline_ins(input=self.image)[OutputKeys.LABELS])
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_by_direct_model_download(self):
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cache_path = snapshot_download(self.model_id)
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config_path = os.path.join(cache_path, ModelFile.CONFIGURATION)
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cfg = Config.from_file(config_path)
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preprocessor = build_preprocessor(cfg.preprocessor, Fields.cv)
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model = CascadeMaskRCNNSwinModel(cache_path)
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pipeline1 = ImageInstanceSegmentationPipeline(
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model, preprocessor=preprocessor)
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pipeline2 = pipeline(
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Tasks.image_segmentation, model=model, preprocessor=preprocessor)
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print(f'pipeline1:{pipeline1(input=self.image)[OutputKeys.LABELS]}')
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print(f'pipeline2: {pipeline2(input=self.image)[OutputKeys.LABELS]}')
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if __name__ == '__main__':
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unittest.main()
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