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f36f9324de
* Pick PPOCR fastdeploy docs from PaddleOCR * improve ppocr * improve readme * remove old PP-OCRv2 and PP-OCRv3 folfers * rename kunlun to kunlunxin * improve readme * improve readme * improve readme --------- Co-authored-by: Jason <jiangjiajun@baidu.com> Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
84 lines
2.5 KiB
C++
84 lines
2.5 KiB
C++
// Copyright (c) 2022 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 "fastdeploy/vision.h"
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#ifdef WIN32
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const char sep = '\\';
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#else
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const char sep = '/';
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#endif
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void InitAndInfer(const std::string &rec_model_dir,
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const std::string &rec_label_file,
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const std::string &image_file,
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const fastdeploy::RuntimeOption &option) {
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auto rec_model_file = rec_model_dir + sep + "inference.pdmodel";
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auto rec_params_file = rec_model_dir + sep + "inference.pdiparams";
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auto rec_option = option;
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auto rec_model = fastdeploy::vision::ocr::Recognizer(
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rec_model_file, rec_params_file, rec_label_file, rec_option);
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assert(rec_model.Initialized());
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auto im = cv::imread(image_file);
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auto im_bak = im.clone();
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fastdeploy::vision::OCRResult result;
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if (!rec_model.Predict(im, &result)) {
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std::cerr << "Failed to predict." << std::endl;
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return;
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}
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// User can infer a batch of images by following code.
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// if (!rec_model.BatchPredict({im}, &result)) {
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// std::cerr << "Failed to predict." << std::endl;
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// return;
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// }
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std::cout << result.Str() << std::endl;
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}
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int main(int argc, char *argv[]) {
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if (argc < 5) {
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std::cout << "Usage: infer_demo"
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"path/to/rec_model path/to/rec_label_file path/to/image "
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"run_option, "
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"e.g ./infer_demo "
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"./ch_PP-OCRv3_rec_infer "
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"./ppocr_keys_v1.txt ./12.jpg 0"
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<< std::endl;
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std::cout << "The data type of run_option is int, 0: run with cpu; 1: run "
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"with gpu;"
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<< std::endl;
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return -1;
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}
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fastdeploy::RuntimeOption option;
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int flag = std::atoi(argv[4]);
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if (flag == 0) {
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option.UseCpu();
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} else if (flag == 1) {
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option.UseGpu();
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}
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std::string rec_model_dir = argv[1];
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std::string rec_label_file = argv[2];
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std::string test_image = argv[3];
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InitAndInfer(rec_model_dir, rec_label_file, test_image, option);
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return 0;
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}
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