mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 17:17:14 +08:00
91a1c72f98
* move manager initialized_ flag to ppcls * update dbdetector preprocess api * declare processor op * ppocr detector preprocessor support cvcuda * move cvcuda op to class member * ppcls use manager register api * refactor det preprocessor init api * add set preprocessor api * add create processor macro * new processor call api * ppcls preprocessor init resize on cpu * ppocr detector preprocessor set normalize api * revert ppcls pybind * remove dbdetector set preprocessor * refine dbdetector preprocessor includes * remove mean std in py constructor * add comments * update comment * Update __init__.py
75 lines
2.8 KiB
C++
75 lines
2.8 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#pragma once
|
|
#include "fastdeploy/vision/common/processors/manager.h"
|
|
#include "fastdeploy/vision/common/processors/resize.h"
|
|
#include "fastdeploy/vision/common/processors/pad.h"
|
|
#include "fastdeploy/vision/common/processors/normalize_and_permute.h"
|
|
#include "fastdeploy/vision/common/result.h"
|
|
|
|
namespace fastdeploy {
|
|
namespace vision {
|
|
|
|
namespace ocr {
|
|
/*! @brief Preprocessor object for DBDetector serials model.
|
|
*/
|
|
class FASTDEPLOY_DECL DBDetectorPreprocessor : public ProcessorManager {
|
|
public:
|
|
DBDetectorPreprocessor();
|
|
|
|
/** \brief Process the input image and prepare input tensors for runtime
|
|
*
|
|
* \param[in] image_batch The input image batch
|
|
* \param[in] outputs The output tensors which will feed in runtime
|
|
* \return true if the preprocess successed, otherwise false
|
|
*/
|
|
virtual bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs);
|
|
|
|
/// 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 preprocess normalize parameters, please call this API to customize
|
|
/// the normalize parameters, otherwise it will use the default normalize
|
|
/// parameters.
|
|
void SetNormalize(const std::vector<float>& mean = {0.485f, 0.456f, 0.406f},
|
|
const std::vector<float>& std = {0.229f, 0.224f, 0.225f},
|
|
bool is_scale = true) {
|
|
normalize_permute_op_ =
|
|
std::make_shared<NormalizeAndPermute>(mean, std, is_scale);
|
|
}
|
|
|
|
/// Get the image info of the last batch, return a list of array
|
|
/// {image width, image height, resize width, resize height}
|
|
const std::vector<std::array<int, 4>>* GetBatchImgInfo() {
|
|
return &batch_det_img_info_;
|
|
}
|
|
|
|
private:
|
|
bool ResizeImage(FDMat* img, int resize_w, int resize_h, int max_resize_w,
|
|
int max_resize_h);
|
|
int max_side_len_ = 960;
|
|
std::vector<std::array<int, 4>> batch_det_img_info_;
|
|
std::shared_ptr<Resize> resize_op_;
|
|
std::shared_ptr<Pad> pad_op_;
|
|
std::shared_ptr<NormalizeAndPermute> normalize_permute_op_;
|
|
};
|
|
|
|
} // namespace ocr
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|