Add PPOCR example for ascend deploy

This commit is contained in:
yunyaoXYY
2022-12-28 12:56:53 +00:00
parent 471f0f62c8
commit b6903b0aa4
21 changed files with 235 additions and 74 deletions

View File

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