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52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import os
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import shutil
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import tempfile
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import unittest
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from collections import OrderedDict
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from modelscope.exporters import Exporter
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from modelscope.models import Model
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from modelscope.utils.constant import Tasks
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from modelscope.utils.import_utils import exists
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from modelscope.utils.test_utils import test_level
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class TestExportOCRRecognition(unittest.TestCase):
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def setUp(self):
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print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
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self.tmp_dir = tempfile.TemporaryDirectory().name
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if not os.path.exists(self.tmp_dir):
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os.makedirs(self.tmp_dir)
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self.model_id = 'damo/cv_LightweightEdge_ocr-recognitoin-general_damo'
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@unittest.skipUnless(
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exists('torch<=2.4'), 'Skip because torch version not supported')
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def test_export_ocr_detection(self):
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model = Model.from_pretrained(
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'damo/cv_LightweightEdge_ocr-recognitoin-general_damo',
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model_revision='v2.4.1')
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Exporter.from_model(model).export_onnx(
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input_shape=(1, 3, 32, 640), output_dir=self.tmp_dir)
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@unittest.skipUnless(
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exists('torch<=2.4'), 'Skip because torch version not supported')
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def test_export_ocr_detection_crnn(self):
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model = Model.from_pretrained(
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'damo/cv_crnn_ocr-recognition-general_damo')
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Exporter.from_model(model).export_onnx(
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input_shape=(1, 3, 32, 640), output_dir=self.tmp_dir)
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@unittest.skipUnless(
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exists('torch<=2.4'), 'Skip because torch version not supported')
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def test_export_ocr_detection_cvit(self):
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model = Model.from_pretrained(
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'damo/cv_convnextTiny_ocr-recognition-general_damo')
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Exporter.from_model(model).export_onnx(
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input_shape=(3, 3, 32, 300), output_dir=self.tmp_dir)
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if __name__ == '__main__':
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unittest.main()
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