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Add PPOCR example for ascend deploy
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@@ -34,6 +34,27 @@ class FASTDEPLOY_DECL ClassifierPreprocessor {
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bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs,
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size_t start_index, size_t end_index);
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/// Set mean value for the image normalization in classification preprocess
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void SetMean(std::vector<float> mean) { mean_ = mean; }
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/// Get mean value of the image normalization in classification preprocess
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std::vector<float> GetMean() const { return mean_; }
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/// Set scale value for the image normalization in classification preprocess
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void SetScale(std::vector<float> scale) { scale_ = scale; }
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/// Get scale value of the image normalization in classification preprocess
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std::vector<float> GetScale() const { return scale_; }
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/// Set is_scale for the image normalization in classification preprocess
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void SetIsScale(bool is_scale) { is_scale_ = is_scale; }
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/// Get is_scale of the image normalization in classification preprocess
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bool GetIsScale() const { return is_scale_; }
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/// Set cls_image_shape for the classification preprocess
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void SetClsImageShape(std::vector<int> cls_image_shape)
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{ cls_image_shape_ = cls_image_shape; }
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/// Get cls_image_shape for the classification preprocess
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std::vector<int> GetClsImageShape() const { return cls_image_shape_; }
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std::vector<float> mean_ = {0.5f, 0.5f, 0.5f};
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std::vector<float> scale_ = {0.5f, 0.5f, 0.5f};
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bool is_scale_ = true;
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