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*Add image-classification-imagenet and image-classification-dailylife pipelines *Add models.cv.mmcls_model.ClassificaitonModel as a wrapper class for mmcls
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
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.test_utils import test_level
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class GeneralImageClassificationTest(unittest.TestCase):
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_ImageNet(self):
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general_image_classification = pipeline(
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Tasks.image_classification_imagenet,
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model='damo/cv_vit-base_image-classification_ImageNet-labels')
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result = general_image_classification('data/test/images/bird.JPEG')
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print(result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_Dailylife(self):
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general_image_classification = pipeline(
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Tasks.image_classification_dailylife,
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model='damo/cv_vit-base_image-classification_Dailylife-labels')
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result = general_image_classification('data/test/images/bird.JPEG')
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print(result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_ImageNet_default_task(self):
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general_image_classification = pipeline(
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Tasks.image_classification_imagenet)
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result = general_image_classification('data/test/images/bird.JPEG')
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print(result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_Dailylife_default_task(self):
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general_image_classification = pipeline(
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Tasks.image_classification_dailylife)
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result = general_image_classification('data/test/images/bird.JPEG')
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print(result)
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if __name__ == '__main__':
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unittest.main()
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