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1. 调整face_detection的文件层级(scrfd与其余新增face_detection方法平级);
2. 增加极大脸/旋转脸的检测方法，更新了新模型；
3. 支持读入数据集并finetune和eval；
4. 新增card_detection模型，支持读入datasethub数据集并finetune
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10244540
67 lines
2.5 KiB
Python
67 lines
2.5 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os.path as osp
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import unittest
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import cv2
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from modelscope.msdatasets import MsDataset
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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 draw_card_detection_result
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from modelscope.utils.demo_utils import DemoCompatibilityCheck
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from modelscope.utils.test_utils import test_level
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class CardDetectionTest(unittest.TestCase, DemoCompatibilityCheck):
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def setUp(self) -> None:
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self.task = Tasks.card_detection
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self.model_id = 'damo/cv_resnet_carddetection_scrfd34gkps'
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def show_result(self, img_path, detection_result):
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img_list = draw_card_detection_result(img_path, detection_result)
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for i, img in enumerate(img_list):
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if i == 0:
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cv2.imwrite('result.jpg', img_list[0])
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print(
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f'Found {len(img_list)-1} cards, output written to {osp.abspath("result.jpg")}'
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)
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else:
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cv2.imwrite(f'card_{i}.jpg', img_list[i])
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save_path = osp.abspath(f'card_{i}.jpg')
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print(f'detect card_{i}: {save_path}')
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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def test_run_with_dataset(self):
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input_location = ['data/test/images/card_detection.jpg']
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dataset = MsDataset.load(input_location, target='image')
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card_detection = pipeline(Tasks.card_detection, model=self.model_id)
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# note that for dataset output, the inference-output is a Generator that can be iterated.
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result = card_detection(dataset)
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result = next(result)
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self.show_result(input_location[0], result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_run_modelhub(self):
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card_detection = pipeline(Tasks.card_detection, model=self.model_id)
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img_path = 'data/test/images/card_detection.jpg'
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result = card_detection(img_path)
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self.show_result(img_path, result)
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@unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
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def test_run_modelhub_default_model(self):
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card_detection = pipeline(Tasks.card_detection)
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img_path = 'data/test/images/card_detection.jpg'
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result = card_detection(img_path)
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self.show_result(img_path, result)
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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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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