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https://github.com/PaddlePaddle/FastDeploy.git
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Add PPOCR example for ascend deploy
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@@ -509,15 +509,15 @@ class RecognizerPreprocessor:
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return self._preprocessor.run(input_ims)
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@property
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def static_shape(self):
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return self._preprocessor.static_shape
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def static_shape_infer(self):
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return self._preprocessor.static_shape_infer
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@static_shape.setter
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def static_shape(self, value):
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@static_shape_infer.setter
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def static_shape_infer(self, value):
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assert isinstance(
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value,
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bool), "The value to set `static_shape` must be type of bool."
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self._preprocessor.static_shape = value
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bool), "The value to set `static_shape_infer` must be type of bool."
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self._preprocessor.static_shape_infer = value
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@property
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def is_scale(self):
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@@ -638,15 +638,15 @@ class Recognizer(FastDeployModel):
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self._model.postprocessor = value
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@property
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def static_shape(self):
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return self._model.preprocessor.static_shape
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def static_shape_infer(self):
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return self._model.preprocessor.static_shape_infer
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@static_shape.setter
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def static_shape(self, value):
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@static_shape_infer.setter
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def static_shape_infer(self, value):
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assert isinstance(
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value,
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bool), "The value to set `static_shape` must be type of bool."
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self._model.preprocessor.static_shape = value
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bool), "The value to set `static_shape_infer` must be type of bool."
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self._model.preprocessor.static_shape_infer = value
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@property
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def is_scale(self):
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