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239 lines
11 KiB
Python
239 lines
11 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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from PIL import Image
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from modelscope.outputs import OutputKeys
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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 TinynasObjectDetectionTest(unittest.TestCase):
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def setUp(self) -> None:
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self.task = Tasks.image_object_detection
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self.model_id = 'damo/cv_tinynas_object-detection_damoyolo'
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_airdet(self):
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tinynas_object_detection = pipeline(
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Tasks.image_object_detection,
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model='damo/cv_tinynas_detection',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_detection.jpg')
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print('airdet', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_damoyolo(self):
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tinynas_object_detection = pipeline(
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Tasks.image_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_detection.jpg')
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print('damoyolo-s', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_damoyolo_m(self):
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tinynas_object_detection = pipeline(
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Tasks.image_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo-m',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_detection.jpg')
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print('damoyolo-m', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_damoyolo_t(self):
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tinynas_object_detection = pipeline(
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Tasks.image_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo-t',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_detection.jpg')
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print('damoyolo-t', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_image_object_detection_auto_pipeline(self):
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test_image = 'data/test/images/image_detection.jpg'
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tinynas_object_detection = pipeline(
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Tasks.image_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo-m',
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trust_remote_code=True)
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result = tinynas_object_detection(test_image)
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tinynas_object_detection.show_result(test_image, result,
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'demo_ret.jpg')
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_human_detection_damoyolo(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_human-detection_damoyolo',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_detection.jpg')
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_human_detection_damoyolo_with_image(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_human-detection_damoyolo',
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trust_remote_code=True)
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img = Image.open('data/test/images/image_detection.jpg')
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result = tinynas_object_detection(img)
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_facemask_detection_damoyolo(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_facemask',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_detection.jpg')
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_facemask_detection_damoyolo_with_image(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_facemask',
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trust_remote_code=True)
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img = Image.open('data/test/images/image_detection.jpg')
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result = tinynas_object_detection(img)
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_safetyhat_detection_damoyolo(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_safety-helmet',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_safetyhat.jpg')
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_safetyhat_detection_damoyolo_with_image(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_safety-helmet',
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trust_remote_code=True)
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img = Image.open('data/test/images/image_safetyhat.jpg')
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result = tinynas_object_detection(img)
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_cigarette_detection_damoyolo(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_cigarette',
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trust_remote_code=True)
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result = tinynas_object_detection('data/test/images/image_smoke.jpg')
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_cigarette_detection_damoyolo_with_image(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_cigarette',
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trust_remote_code=True)
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img = Image.open('data/test/images/image_smoke.jpg')
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result = tinynas_object_detection(img)
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_phone_detection_damoyolo(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_phone',
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trust_remote_code=True)
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result = tinynas_object_detection('data/test/images/image_phone.jpg')
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_phone_detection_damoyolo_with_image(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_phone',
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trust_remote_code=True)
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img = Image.open('data/test/images/image_phone.jpg')
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result = tinynas_object_detection(img)
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_head_detection_damoyolo(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_head-detection_damoyolo',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_detection.jpg')
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_head_detection_damoyolo_with_image(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_head-detection_damoyolo',
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trust_remote_code=True)
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img = Image.open('data/test/images/image_detection.jpg')
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result = tinynas_object_detection(img)
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_smokefire_detection_damoyolo(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_smokefire',
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trust_remote_code=True)
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result = tinynas_object_detection(
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'data/test/images/image_smokefire_detection.jpg')
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_smokefire_detection_damoyolo_with_image(self):
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tinynas_object_detection = pipeline(
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Tasks.domain_specific_object_detection,
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model='damo/cv_tinynas_object-detection_damoyolo_smokefire',
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trust_remote_code=True)
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img = Image.open('data/test/images/image_smokefire_detection.jpg')
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result = tinynas_object_detection(img)
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assert result and (OutputKeys.SCORES in result) and (
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OutputKeys.LABELS in result) and (OutputKeys.BOXES in result)
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print('results: ', result)
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if __name__ == '__main__':
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unittest.main()
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