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

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* 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
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20
fastdeploy/vision/ocr/ppocr/det_preprocessor.h
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@@ -35,6 +35,26 @@ class FASTDEPLOY_DECL DBDetectorPreprocessor {
std::vector<FDTensor>* outputs,
std::vector<std::array<int, 4>>* batch_det_img_info_ptr);
/// Set max_side_len for the detection preprocess, default is 960
void SetMaxSideLen(int max_side_len) { max_side_len_ = max_side_len; }
/// Get max_side_len of the detection preprocess
int GetMaxSideLen() const { return max_side_len_; }
/// Set mean value for the image normalization in detection preprocess
void SetMean(std::vector<float> mean) { mean_ = mean; }
/// Get mean value of the image normalization in detection preprocess
std::vector<float> GetMean() const { return mean_; }
/// Set scale value for the image normalization in detection preprocess
void SetScale(std::vector<float> scale) { scale_ = scale; }
/// Get scale value of the image normalization in detection preprocess
std::vector<float> GetScale() const { return scale_; }
/// Set is_scale for the image normalization in detection preprocess
void SetIsScale(bool is_scale) { is_scale_ = is_scale; }
/// Get is_scale of the image normalization in detection preprocess
bool GetIsScale() const { return is_scale_; }
int max_side_len_ = 960;
std::vector<float> mean_ = {0.485f, 0.456f, 0.406f};
std::vector<float> scale_ = {0.229f, 0.224f, 0.225f};