apps/FastDeploy
1
0
Fork 0
mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-10-06 09:07:10 +08:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

[Other] Add detection, segmentation and OCR examples for Ascend deploy. (#983)

Browse Source 
* Add Huawei Ascend NPU deploy through PaddleLite CANN

* Add NNAdapter interface for paddlelite

* Modify Huawei Ascend Cmake

* Update way for compiling Huawei Ascend NPU deployment

* remove UseLiteBackend in UseCANN

* Support compile python whlee

* Change names of nnadapter API

* Add nnadapter pybind and remove useless API

* Support Python deployment on Huawei Ascend NPU

* Add models suppor for ascend

* Add PPOCR rec reszie for ascend

* fix conflict for ascend

* Rename CANN to Ascend

* Rename CANN to Ascend

* Improve ascend

* fix ascend bug

* improve ascend docs

* improve ascend docs

* improve ascend docs

* Improve Ascend

* Improve Ascend

* Move ascend python demo

* Imporve ascend

* Improve ascend

* Improve ascend

* Improve ascend

* Improve ascend

* Imporve ascend

* Imporve ascend

* Improve ascend

* acc eval script

* acc eval

* remove acc_eval from branch huawei

* Add detection and segmentation examples for Ascend deployment

* Add detection and segmentation examples for Ascend deployment

* Add PPOCR example for ascend deploy

* Imporve paddle lite compiliation

* Add FlyCV doc

* Add FlyCV doc

* Add FlyCV doc

* Imporve Ascend docs

* Imporve Ascend docs
This commit is contained in:
yunyaoXYY
2023-01-04 10:01:23 +08:00
committed by GitHub
parent 2cfd331889
commit 58d63f3e90
57 changed files with 694 additions and 93 deletions
Download Patch File Download Diff File Expand all files Collapse all files

21
fastdeploy/vision/ocr/ppocr/cls_preprocessor.h
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;