# Copyright (c) Alibaba, Inc. and its affiliates. import unittest import cv2 from modelscope.outputs import OutputKeys from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks from modelscope.utils.cv.image_utils import realtime_object_detection_bbox_vis from modelscope.utils.demo_utils import DemoCompatibilityCheck from modelscope.utils.test_utils import test_level class RealtimeObjectDetectionTest(unittest.TestCase, DemoCompatibilityCheck): def setUp(self) -> None: self.model_id = 'damo/cv_cspnet_image-object-detection_yolox' self.model_nano_id = 'damo/cv_cspnet_image-object-detection_yolox_nano_coco' self.test_image = 'data/test/images/keypoints_detect/000000438862.jpg' self.task = Tasks.image_object_detection @unittest.skipUnless(test_level() >= 0, 'skip test in current test level') def test_run_modelhub(self): realtime_object_detection = pipeline( Tasks.image_object_detection, model=self.model_id) image = cv2.imread(self.test_image) result = realtime_object_detection(image) if result: bboxes = result[OutputKeys.BOXES].astype(int) image = realtime_object_detection_bbox_vis(image, bboxes) cv2.imwrite('rt_obj_out.jpg', image) else: raise ValueError('process error') @unittest.skipUnless(test_level() >= 0, 'skip test in current test level') def test_run_nano(self): realtime_object_detection = pipeline( Tasks.image_object_detection, model=self.model_nano_id) image = cv2.imread(self.test_image) result = realtime_object_detection(image) if result: bboxes = result[OutputKeys.BOXES].astype(int) image = realtime_object_detection_bbox_vis(image, bboxes) cv2.imwrite('rtnano_obj_out.jpg', image) else: raise ValueError('process error') @unittest.skip('demo compatibility test is only enabled on a needed-basis') def test_demo_compatibility(self): self.compatibility_check() if __name__ == '__main__': unittest.main()