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- # Copyright (c) Alibaba, Inc. and its affiliates.
- import unittest
-
- import cv2
- from PIL import Image
-
- from modelscope.outputs import OutputKeys
- from modelscope.pipelines import pipeline
- from modelscope.utils.constant import Tasks
- from modelscope.utils.cv.image_utils import numpy_to_cv2img
- from modelscope.utils.logger import get_logger
- from modelscope.utils.test_utils import test_level
-
- logger = get_logger()
-
-
- class CrowdCountingTest(unittest.TestCase):
-
- def setUp(self) -> None:
- self.input_location = 'data/test/images/crowd_counting.jpg'
- self.model_id = 'damo/cv_hrnet_crowd-counting_dcanet'
-
- def save_result(self, result):
- print('scores:', result[OutputKeys.SCORES])
- vis_img = result[OutputKeys.OUTPUT_IMG]
- vis_img = numpy_to_cv2img(vis_img)
- cv2.imwrite('result.jpg', vis_img)
-
- @unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
- def test_crowd_counting(self):
- crowd_counting = pipeline(Tasks.crowd_counting, model=self.model_id)
- result = crowd_counting(self.input_location)
- if result:
- self.save_result(result)
- else:
- raise ValueError('process error')
-
- @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
- def test_crowd_counting_with_image(self):
- crowd_counting = pipeline(Tasks.crowd_counting, model=self.model_id)
- img = Image.open(self.input_location)
- result = crowd_counting(img)
- if result:
- self.save_result(result)
- else:
- raise ValueError('process error')
-
- @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
- def test_crowd_counting_with_default_task(self):
- crowd_counting = pipeline(Tasks.crowd_counting)
- result = crowd_counting(self.input_location)
- if result:
- self.save_result(result)
- else:
- raise ValueError('process error')
-
-
- if __name__ == '__main__':
- unittest.main()
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