mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
synced 2025-06-03 21:53:39 +08:00
203 lines
7.1 KiB
C++
203 lines
7.1 KiB
C++
// 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 <iostream>
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#include <vector>
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#include <include/args.h>
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#include <include/paddleocr.h>
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#include <include/paddlestructure.h>
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using namespace PaddleOCR;
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void check_params() {
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if (FLAGS_det) {
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if (FLAGS_det_model_dir.empty() || FLAGS_image_dir.empty()) {
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std::cout << "Usage[det]: ./ppocr "
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"--det_model_dir=/PATH/TO/DET_INFERENCE_MODEL/ "
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<< "--image_dir=/PATH/TO/INPUT/IMAGE/" << std::endl;
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exit(1);
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}
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}
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if (FLAGS_rec) {
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std::cout
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<< "In PP-OCRv3, rec_image_shape parameter defaults to '3, 48, 320',"
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"if you are using recognition model with PP-OCRv2 or an older "
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"version, "
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"please set --rec_image_shape='3,32,320"
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<< std::endl;
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if (FLAGS_rec_model_dir.empty() || FLAGS_image_dir.empty()) {
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std::cout << "Usage[rec]: ./ppocr "
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"--rec_model_dir=/PATH/TO/REC_INFERENCE_MODEL/ "
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<< "--image_dir=/PATH/TO/INPUT/IMAGE/" << std::endl;
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exit(1);
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}
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}
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if (FLAGS_cls && FLAGS_use_angle_cls) {
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if (FLAGS_cls_model_dir.empty() || FLAGS_image_dir.empty()) {
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std::cout << "Usage[cls]: ./ppocr "
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<< "--cls_model_dir=/PATH/TO/REC_INFERENCE_MODEL/ "
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<< "--image_dir=/PATH/TO/INPUT/IMAGE/" << std::endl;
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exit(1);
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}
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}
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if (FLAGS_table) {
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if (FLAGS_table_model_dir.empty() || FLAGS_det_model_dir.empty() ||
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FLAGS_rec_model_dir.empty() || FLAGS_image_dir.empty()) {
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std::cout << "Usage[table]: ./ppocr "
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<< "--det_model_dir=/PATH/TO/DET_INFERENCE_MODEL/ "
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<< "--rec_model_dir=/PATH/TO/REC_INFERENCE_MODEL/ "
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<< "--table_model_dir=/PATH/TO/TABLE_INFERENCE_MODEL/ "
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<< "--image_dir=/PATH/TO/INPUT/IMAGE/" << std::endl;
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exit(1);
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}
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}
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if (FLAGS_layout) {
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if (FLAGS_layout_model_dir.empty() || FLAGS_image_dir.empty()) {
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std::cout << "Usage[layout]: ./ppocr "
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<< "--layout_model_dir=/PATH/TO/LAYOUT_INFERENCE_MODEL/ "
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<< "--image_dir=/PATH/TO/INPUT/IMAGE/" << std::endl;
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exit(1);
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}
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}
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if (FLAGS_precision != "fp32" && FLAGS_precision != "fp16" &&
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FLAGS_precision != "int8") {
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std::cout << "precison should be 'fp32'(default), 'fp16' or 'int8'. "
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<< std::endl;
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exit(1);
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}
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}
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void ocr(std::vector<cv::String> &cv_all_img_names) {
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PPOCR ocr = PPOCR();
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if (FLAGS_benchmark) {
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ocr.reset_timer();
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}
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std::vector<cv::Mat> img_list;
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std::vector<cv::String> img_names;
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for (int i = 0; i < cv_all_img_names.size(); ++i) {
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cv::Mat img = cv::imread(cv_all_img_names[i], cv::IMREAD_COLOR);
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if (!img.data) {
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std::cerr << "[ERROR] image read failed! image path: "
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<< cv_all_img_names[i] << std::endl;
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continue;
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}
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img_list.push_back(img);
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img_names.push_back(cv_all_img_names[i]);
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}
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std::vector<std::vector<OCRPredictResult>> ocr_results =
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ocr.ocr(img_list, FLAGS_det, FLAGS_rec, FLAGS_cls);
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for (int i = 0; i < img_names.size(); ++i) {
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std::cout << "predict img: " << cv_all_img_names[i] << std::endl;
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Utility::print_result(ocr_results[i]);
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if (FLAGS_visualize && FLAGS_det) {
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std::string file_name = Utility::basename(img_names[i]);
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cv::Mat srcimg = img_list[i];
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Utility::VisualizeBboxes(srcimg, ocr_results[i],
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FLAGS_output + "/" + file_name);
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}
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}
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if (FLAGS_benchmark) {
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ocr.benchmark_log(cv_all_img_names.size());
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}
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}
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void structure(std::vector<cv::String> &cv_all_img_names) {
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PaddleOCR::PaddleStructure engine = PaddleOCR::PaddleStructure();
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if (FLAGS_benchmark) {
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engine.reset_timer();
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}
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for (int i = 0; i < cv_all_img_names.size(); i++) {
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std::cout << "predict img: " << cv_all_img_names[i] << std::endl;
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cv::Mat img = cv::imread(cv_all_img_names[i], cv::IMREAD_COLOR);
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if (!img.data) {
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std::cerr << "[ERROR] image read failed! image path: "
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<< cv_all_img_names[i] << std::endl;
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continue;
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}
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std::vector<StructurePredictResult> structure_results = engine.structure(
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img, FLAGS_layout, FLAGS_table, FLAGS_det && FLAGS_rec);
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for (int j = 0; j < structure_results.size(); j++) {
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std::cout << j << "\ttype: " << structure_results[j].type
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<< ", region: [";
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std::cout << structure_results[j].box[0] << ","
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<< structure_results[j].box[1] << ","
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<< structure_results[j].box[2] << ","
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<< structure_results[j].box[3] << "], score: ";
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std::cout << structure_results[j].confidence << ", res: ";
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if (structure_results[j].type == "table") {
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std::cout << structure_results[j].html << std::endl;
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if (structure_results[j].cell_box.size() > 0 && FLAGS_visualize) {
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std::string file_name = Utility::basename(cv_all_img_names[i]);
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Utility::VisualizeBboxes(img, structure_results[j],
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FLAGS_output + "/" + std::to_string(j) +
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"_" + file_name);
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}
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} else {
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std::cout << "count of ocr result is : "
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<< structure_results[j].text_res.size() << std::endl;
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if (structure_results[j].text_res.size() > 0) {
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std::cout << "********** print ocr result "
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<< "**********" << std::endl;
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Utility::print_result(structure_results[j].text_res);
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std::cout << "********** end print ocr result "
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<< "**********" << std::endl;
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}
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}
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}
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}
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if (FLAGS_benchmark) {
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engine.benchmark_log(cv_all_img_names.size());
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}
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}
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int main(int argc, char **argv) {
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// Parsing command-line
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google::ParseCommandLineFlags(&argc, &argv, true);
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check_params();
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if (!Utility::PathExists(FLAGS_image_dir)) {
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std::cerr << "[ERROR] image path not exist! image_dir: " << FLAGS_image_dir
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<< std::endl;
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exit(1);
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}
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std::vector<cv::String> cv_all_img_names;
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cv::glob(FLAGS_image_dir, cv_all_img_names);
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std::cout << "total images num: " << cv_all_img_names.size() << std::endl;
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if (!Utility::PathExists(FLAGS_output)) {
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Utility::CreateDir(FLAGS_output);
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}
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if (FLAGS_type == "ocr") {
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ocr(cv_all_img_names);
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} else if (FLAGS_type == "structure") {
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structure(cv_all_img_names);
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} else {
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std::cout << "only value in ['ocr','structure'] is supported" << std::endl;
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}
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}
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