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34bea7649d
* Add Sophgo Device add sophgo backend in fastdeploy add resnet50, yolov5s, liteseg examples. * replace sophgo lib with download links; fix model.cc bug * modify CodeStyle * remove unuseful files;change the names of sophgo device and sophgo backend * sophgo support python and add python examples * remove unuseful rows in cmake according pr Co-authored-by: Zilong Xing <zilong.xing@sophgo.com>
72 lines
2.2 KiB
C++
72 lines
2.2 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 <iostream>
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#include <string>
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#include "fastdeploy/vision.h"
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void SophgoInfer(const std::string& model_dir, const std::string& image_file) {
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std::string model_file = model_dir + "/pp_liteseg_1684x_f32.bmodel";
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std::string params_file;
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std::string config_file = model_dir + "/deploy.yaml";
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auto option = fastdeploy::RuntimeOption();
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option.UseSophgo();
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auto model_format = fastdeploy::ModelFormat::SOPHGO;
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auto model = fastdeploy::vision::segmentation::PaddleSegModel(
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model_file, params_file, config_file, option, model_format);
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if (!model.Initialized()) {
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std::cerr << "Failed to initialize." << std::endl;
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return;
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}
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//model.GetPreprocessor().DisableNormalizeAndPermute();
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fastdeploy::TimeCounter tc;
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tc.Start();
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auto im_org = cv::imread(image_file);
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//the input of bmodel should be fixed
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int new_width = 512;
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int new_height = 512;
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cv::Mat im;
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cv::resize(im_org, im, cv::Size(new_width, new_height), cv::INTER_LINEAR);
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fastdeploy::vision::SegmentationResult res;
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if (!model.Predict(&im, &res)) {
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std::cerr << "Failed to predict." << std::endl;
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return;
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}
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auto vis_im = fastdeploy::vision::VisSegmentation(im, res);
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tc.End();
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tc.PrintInfo("PPSeg in Sophgo");
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cv::imwrite("infer_sophgo.jpg", vis_im);
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std::cout
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<< "Visualized result saved in ./infer_sophgo.jpg"
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<< std::endl;
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}
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int main(int argc, char* argv[]) {
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if (argc < 3) {
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std::cout
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<< "Usage: infer_demo path/to/model_dir path/to/image run_option, "
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"e.g ./infer_model ./bmodel ./test.jpeg"
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<< std::endl;
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return -1;
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}
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SophgoInfer(argv[1], argv[2]);
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return 0;
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}
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