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51 lines
4.2 KiB
51 lines
4.2 KiB
2 weeks ago
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D:\anaconda3\envs\py310\python.exe D:\dsWork\QingLong\AI\Pdf\T2_AutoAll.py
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Creating model: ('PP-LCNet_x1_0_doc_ori', None)
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Using official model (PP-LCNet_x1_0_doc_ori), the model files will be automatically downloaded and saved in C:\Users\Administrator\.paddlex\official_models.
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Traceback (most recent call last):
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File "D:\dsWork\QingLong\AI\Pdf\T2_AutoAll.py", line 29, in <module>
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pdf_to_text(source, target)
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File "D:\dsWork\QingLong\AI\Pdf\T2_AutoAll.py", line 10, in pdf_to_text
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ocr = PaddleOCR(use_textline_orientation=True, lang="ch", ocr_version='PP-OCRv3')
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File "D:\anaconda3\envs\py310\lib\site-packages\paddleocr\_pipelines\ocr.py", line 161, in __init__
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super().__init__(**base_params)
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File "D:\anaconda3\envs\py310\lib\site-packages\paddleocr\_pipelines\base.py", line 63, in __init__
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self.paddlex_pipeline = self._create_paddlex_pipeline()
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File "D:\anaconda3\envs\py310\lib\site-packages\paddleocr\_pipelines\base.py", line 97, in _create_paddlex_pipeline
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return create_pipeline(config=self._merged_paddlex_config, **kwargs)
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\__init__.py", line 165, in create_pipeline
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pipeline = BasePipeline.get(pipeline_name)(
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\utils\deps.py", line 195, in _wrapper
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return old_init_func(self, *args, **kwargs)
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\_parallel.py", line 103, in __init__
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self._pipeline = self._create_internal_pipeline(config, self.device)
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\_parallel.py", line 158, in _create_internal_pipeline
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return self._pipeline_cls(
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\ocr\pipeline.py", line 73, in __init__
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self.doc_preprocessor_pipeline = self.create_pipeline(
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\base.py", line 140, in create_pipeline
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pipeline = create_pipeline(
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\__init__.py", line 165, in create_pipeline
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pipeline = BasePipeline.get(pipeline_name)(
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\utils\deps.py", line 195, in _wrapper
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return old_init_func(self, *args, **kwargs)
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\_parallel.py", line 103, in __init__
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self._pipeline = self._create_internal_pipeline(config, self.device)
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\_parallel.py", line 158, in _create_internal_pipeline
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return self._pipeline_cls(
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\doc_preprocessor\pipeline.py", line 67, in __init__
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self.doc_ori_classify_model = self.create_model(doc_ori_classify_config)
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\pipelines\base.py", line 107, in create_model
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model = create_predictor(
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\__init__.py", line 77, in create_predictor
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return BasePredictor.get(model_name)(
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\image_classification\predictor.py", line 49, in __init__
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self.preprocessors, self.infer, self.postprocessors = self._build()
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\image_classification\predictor.py", line 82, in _build
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infer = self.create_static_infer()
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\base\predictor\base_predictor.py", line 240, in create_static_infer
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return PaddleInfer(self.model_dir, self.MODEL_FILE_PREFIX, self._pp_option)
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\common\static_infer.py", line 274, in __init__
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self.predictor = self._create()
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File "D:\anaconda3\envs\py310\lib\site-packages\paddlex\inference\models\common\static_infer.py", line 360, in _create
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config.set_optimization_level(3)
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AttributeError: 'paddle.base.libpaddle.AnalysisConfig' object has no attribute 'set_optimization_level'. Did you mean: 'tensorrt_optimization_level'?
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