81 lines
2.4 KiB
C
81 lines
2.4 KiB
C
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// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "opencv2/core.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/imgproc.hpp"
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#include "paddle_api.h"
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#include "paddle_inference_api.h"
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#include <chrono>
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#include <iomanip>
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#include <iostream>
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#include <ostream>
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#include <vector>
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#include <cstring>
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#include <fstream>
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#include <numeric>
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#include <include/postprocess_op.h>
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#include <include/preprocess_op.h>
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namespace PaddleOCR {
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class CRNNRecognizer {
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public:
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explicit CRNNRecognizer(const std::string &model_dir,
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const string label_path = "./tools/ppocr_keys_v1.txt",
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bool use_gpu = false, const int gpu_id = 0) {
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LoadModel(model_dir, use_gpu);
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this->label_list_ = ReadDict(label_path);
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}
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// Load Paddle inference model
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void LoadModel(const std::string &model_dir, bool use_gpu,
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const int gpu_id = 0, const int min_subgraph_size = 3,
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const int batch_size = 1);
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void Run(std::vector<std::vector<std::vector<int>>> boxes, cv::Mat &img);
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private:
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std::shared_ptr<PaddlePredictor> predictor_;
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std::vector<std::string> label_list_;
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std::vector<float> mean_ = {0.5f, 0.5f, 0.5f};
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std::vector<float> scale_ = {1 / 0.5f, 1 / 0.5f, 1 / 0.5f};
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bool is_scale_ = true;
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// pre-process
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CrnnResizeImg resize_op_;
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Normalize normalize_op_;
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Permute permute_op_;
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// post-process
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PostProcessor post_processor_;
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cv::Mat get_rotate_crop_image(const cv::Mat &srcimage,
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std::vector<std::vector<int>> box);
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std::vector<std::string> ReadDict(const std::string &path);
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template <class ForwardIterator>
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inline size_t argmax(ForwardIterator first, ForwardIterator last) {
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return std::distance(first, std::max_element(first, last));
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}
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}; // class CrnnRecognizer
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} // namespace PaddleOCR
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