mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
synced 2025-10-31 09:49:30 +00:00
89 lines
2.7 KiB
C++
89 lines
2.7 KiB
C++
// Copyright (c) 2020 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 <include/postprocess_op.h>
|
|
#include <include/preprocess_op.h>
|
|
#include <memory>
|
|
|
|
namespace paddle_infer {
|
|
class Predictor;
|
|
}
|
|
|
|
namespace PaddleOCR {
|
|
|
|
class StructureTableRecognizer {
|
|
public:
|
|
explicit StructureTableRecognizer(
|
|
const std::string &model_dir, const bool &use_gpu, const int &gpu_id,
|
|
const int &gpu_mem, const int &cpu_math_library_num_threads,
|
|
const bool &use_mkldnn, const std::string &label_path,
|
|
const bool &use_tensorrt, const std::string &precision,
|
|
const int &table_batch_num, const int &table_max_len,
|
|
const bool &merge_no_span_structure) noexcept {
|
|
this->use_gpu_ = use_gpu;
|
|
this->gpu_id_ = gpu_id;
|
|
this->gpu_mem_ = gpu_mem;
|
|
this->cpu_math_library_num_threads_ = cpu_math_library_num_threads;
|
|
this->use_mkldnn_ = use_mkldnn;
|
|
this->use_tensorrt_ = use_tensorrt;
|
|
this->precision_ = precision;
|
|
this->table_batch_num_ = table_batch_num;
|
|
this->table_max_len_ = table_max_len;
|
|
|
|
this->post_processor_.init(label_path, merge_no_span_structure);
|
|
LoadModel(model_dir);
|
|
}
|
|
|
|
// Load Paddle inference model
|
|
void LoadModel(const std::string &model_dir) noexcept;
|
|
|
|
void Run(const std::vector<cv::Mat> &img_list,
|
|
std::vector<std::vector<std::string>> &rec_html_tags,
|
|
std::vector<float> &rec_scores,
|
|
std::vector<std::vector<std::vector<int>>> &rec_boxes,
|
|
std::vector<double> ×) noexcept;
|
|
|
|
private:
|
|
std::shared_ptr<paddle_infer::Predictor> predictor_;
|
|
|
|
bool use_gpu_ = false;
|
|
int gpu_id_ = 0;
|
|
int gpu_mem_ = 4000;
|
|
int cpu_math_library_num_threads_ = 4;
|
|
bool use_mkldnn_ = false;
|
|
int table_max_len_ = 488;
|
|
|
|
std::vector<float> mean_ = {0.485f, 0.456f, 0.406f};
|
|
std::vector<float> scale_ = {1 / 0.229f, 1 / 0.224f, 1 / 0.225f};
|
|
bool is_scale_ = true;
|
|
|
|
bool use_tensorrt_ = false;
|
|
std::string precision_ = "fp32";
|
|
int table_batch_num_ = 1;
|
|
|
|
// pre-process
|
|
TableResizeImg resize_op_;
|
|
Normalize normalize_op_;
|
|
PermuteBatch permute_op_;
|
|
TablePadImg pad_op_;
|
|
|
|
// post-process
|
|
TablePostProcessor post_processor_;
|
|
|
|
}; // class StructureTableRecognizer
|
|
|
|
} // namespace PaddleOCR
|