mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-16 21:51:31 +08:00
24317e1a14
* Imporve OCR Readme * Improve OCR Readme * Improve OCR Readme * Improve OCR Readme * Improve OCR Readme * Add Initialize function to PP-OCR * Add Initialize function to PP-OCR * Add Initialize function to PP-OCR * Make all the model links come from PaddleOCR * Improve OCR readme * Improve OCR readme * Improve OCR readme * Improve OCR readme * Add Readme for vision results * Add Readme for vision results * Add Readme for vision results * Add Readme for vision results * Add Readme for vision results * Add Readme for vision results * Add Readme for vision results * Add Readme for vision results * Add Readme for vision results * Add Readme for vision results * Add check for label file in postprocess of Rec model * Add check for label file in postprocess of Rec model * Add check for label file in postprocess of Rec model * Add check for label file in postprocess of Rec model * Add check for label file in postprocess of Rec model * Add check for label file in postprocess of Rec model * Add comments to create API docs * Improve OCR comments * Rename OCR and add comments * Make sure previous python example works * Make sure previous python example works Co-authored-by: Jason <jiangjiajun@baidu.com>
86 lines
3.3 KiB
C++
86 lines
3.3 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/fastdeploy_model.h"
|
|
#include "fastdeploy/vision/common/processors/transform.h"
|
|
#include "fastdeploy/vision/common/result.h"
|
|
#include "fastdeploy/vision/ocr/ppocr/utils/ocr_postprocess_op.h"
|
|
|
|
namespace fastdeploy {
|
|
namespace vision {
|
|
/** \brief All OCR series model APIs are defined inside this namespace
|
|
*
|
|
*/
|
|
namespace ocr {
|
|
|
|
/*! @brief DBDetector object is used to load the detection model provided by PaddleOCR.
|
|
*/
|
|
class FASTDEPLOY_DECL DBDetector : public FastDeployModel {
|
|
public:
|
|
DBDetector();
|
|
/** \brief Set path of model file, and the configuration of runtime
|
|
*
|
|
* \param[in] model_file Path of model file, e.g ./ch_PP-OCRv3_det_infer/model.pdmodel.
|
|
* \param[in] params_file Path of parameter file, e.g ./ch_PP-OCRv3_det_infer/model.pdiparams, if the model format is ONNX, this parameter will be ignored.
|
|
* \param[in] custom_option RuntimeOption for inference, the default will use cpu, and choose the backend defined in `valid_cpu_backends`.
|
|
* \param[in] model_format Model format of the loaded model, default is Paddle format.
|
|
*/
|
|
DBDetector(const std::string& model_file, const std::string& params_file = "",
|
|
const RuntimeOption& custom_option = RuntimeOption(),
|
|
const ModelFormat& model_format = ModelFormat::PADDLE);
|
|
/// Get model's name
|
|
std::string ModelName() const { return "ppocr/ocr_det"; }
|
|
/** \brief Predict the input image and get OCR detection model result.
|
|
*
|
|
* \param[in] im The input image data, comes from cv::imread().
|
|
* \param[in] boxes_result The output of OCR detection model result will be writen to this structure.
|
|
* \return true if the prediction is successed, otherwise false.
|
|
*/
|
|
virtual bool Predict(cv::Mat* im,
|
|
std::vector<std::array<int, 8>>* boxes_result);
|
|
|
|
// Pre & Post process parameters
|
|
int max_side_len;
|
|
|
|
float ratio_h{};
|
|
float ratio_w{};
|
|
|
|
double det_db_thresh;
|
|
double det_db_box_thresh;
|
|
double det_db_unclip_ratio;
|
|
std::string det_db_score_mode;
|
|
bool use_dilation;
|
|
|
|
std::vector<float> mean;
|
|
std::vector<float> scale;
|
|
bool is_scale;
|
|
|
|
private:
|
|
bool Initialize();
|
|
/// Preprocess the input data, and set the preprocessed results to `outputs`
|
|
bool Preprocess(Mat* mat, FDTensor* outputs,
|
|
std::map<std::string, std::array<float, 2>>* im_info);
|
|
/*! @brief Postprocess the inferenced results, and set the final result to `boxes_result`
|
|
*/
|
|
bool Postprocess(FDTensor& infer_result,
|
|
std::vector<std::array<int, 8>>* boxes_result,
|
|
const std::map<std::string, std::array<float, 2>>& im_info);
|
|
PostProcessor post_processor_;
|
|
};
|
|
|
|
} // namespace ocr
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|