# 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.demo_utils import DemoCompatibilityCheck from modelscope.utils.logger import get_logger from modelscope.utils.test_utils import test_level logger = get_logger() class CrowdCountingTest(unittest.TestCase, DemoCompatibilityCheck): def setUp(self) -> None: self.input_location = 'data/test/images/crowd_counting.jpg' self.model_id = 'damo/cv_hrnet_crowd-counting_dcanet' self.task = Tasks.crowd_counting 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(task=self.task, 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(task=self.task, 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(self.task) result = crowd_counting(self.input_location) if result: self.save_result(result) else: raise ValueError('process error') @unittest.skipUnless(test_level() >= 0, 'skip test in current test level') def test_demo_compatibility(self): self.compatibility_check() if __name__ == '__main__': unittest.main()