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57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.logger import get_logger
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from modelscope.utils.test_utils import test_level
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class ObjectDetectionTest(unittest.TestCase):
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_object_detection(self):
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input_location = 'data/test/images/image_detection.jpg'
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model_id = 'damo/cv_vit_object-detection_coco'
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object_detect = pipeline(Tasks.object_detection, model=model_id)
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result = object_detect(input_location)
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if result:
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print(result)
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else:
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raise ValueError('process error')
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_object_detection_with_default_task(self):
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input_location = 'data/test/images/image_detection.jpg'
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object_detect = pipeline(Tasks.object_detection)
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result = object_detect(input_location)
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if result:
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print(result)
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else:
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raise ValueError('process error')
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_human_detection(self):
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input_location = 'data/test/images/image_detection.jpg'
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model_id = 'damo/cv_resnet18_human-detection'
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human_detect = pipeline(Tasks.human_detection, model=model_id)
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result = human_detect(input_location)
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if result:
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print(result)
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else:
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raise ValueError('process error')
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_human_detection_with_default_task(self):
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input_location = 'data/test/images/image_detection.jpg'
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human_detect = pipeline(Tasks.human_detection)
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result = human_detect(input_location)
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if result:
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print(result)
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else:
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raise ValueError('process error')
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if __name__ == '__main__':
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unittest.main()
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