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63 lines
2.6 KiB
Python
63 lines
2.6 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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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.outputs import OutputKeys
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from modelscope.pipelines import pipeline
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from modelscope.pipelines.cv import BadImageDetecingPipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.test_utils import test_level
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class BadImageDetectingTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.bad_image_detecting
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self.model_id = 'damo/cv_mobilenet-v2_bad-image-detecting'
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self.test_img = 'data/test/images/dogs.jpg'
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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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pipeline = BadImageDetecingPipeline(cache_path)
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pipeline.group_key = self.task
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out = pipeline(input=self.test_img)
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labels = out[OutputKeys.LABELS]
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scores = out[OutputKeys.SCORES]
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print('pipeline: the out_label is {}'.format(labels))
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print('pipeline: the out_score is {}'.format(scores))
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@unittest.skipUnless(test_level() >= 1, '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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pipeline_ins = pipeline(task=Tasks.bad_image_detecting, model=model)
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out = pipeline_ins(input=self.test_img)
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labels = out[OutputKeys.LABELS]
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scores = out[OutputKeys.SCORES]
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print('pipeline: the out_label is {}'.format(labels))
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print('pipeline: the out_score is {}'.format(scores))
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@unittest.skipUnless(test_level() >= 0, '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.bad_image_detecting, model=self.model_id)
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out = pipeline_ins(input=self.test_img)
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labels = out[OutputKeys.LABELS]
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scores = out[OutputKeys.SCORES]
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print('pipeline: the out_label is {}'.format(labels))
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print('pipeline: the out_score is {}'.format(scores))
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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.bad_image_detecting)
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out = pipeline_ins(input=self.test_img)
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labels = out[OutputKeys.LABELS]
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scores = out[OutputKeys.SCORES]
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print('pipeline: the out_label is {}'.format(labels))
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print('pipeline: the out_score is {}'.format(scores))
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if __name__ == '__main__':
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unittest.main()
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