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2684111bd7
实时目标检测finetune easycv支持 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11554870 * add finetune support * implementation of trainer and pipeline switched to easycv * remove old yolox code
56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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import cv2
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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.cv.image_utils import realtime_object_detection_bbox_vis
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from modelscope.utils.demo_utils import DemoCompatibilityCheck
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from modelscope.utils.logger import get_logger
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from modelscope.utils.test_utils import test_level
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logger = get_logger()
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class RealtimeObjectDetectionTest(unittest.TestCase, DemoCompatibilityCheck):
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def setUp(self) -> None:
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self.easycv_small_model_id = 'damo/cv_cspnet_image-object-detection_yolox'
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self.easycv_nano_model_id = 'damo/cv_cspnet_image-object-detection_yolox_nano_coco'
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self.test_image = 'data/test/images/keypoints_detect/000000438862.jpg'
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self.task = Tasks.image_object_detection
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_easycv_yolox(self):
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realtime_object_detection = pipeline(
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Tasks.image_object_detection, model=self.easycv_small_model_id)
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image = cv2.imread(self.test_image)
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result = realtime_object_detection(image)
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if result:
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logger.info(result)
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else:
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raise ValueError('process error')
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_easycv_yolox_nano(self):
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realtime_object_detection = pipeline(
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Tasks.image_object_detection, model=self.easycv_nano_model_id)
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image = cv2.imread(self.test_image)
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result = realtime_object_detection(image)
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if result:
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logger.info(result)
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else:
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raise ValueError('process error')
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@unittest.skip('demo compatibility test is only enabled on a needed-basis')
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def test_demo_compatibility(self):
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self.compatibility_check()
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if __name__ == '__main__':
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unittest.main()
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