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ImageInfer.cpp
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ImageInfer.cpp
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/*******************************************************************************
*BSD 3-Clause License
*
*Copyright (c) 2016-2023, Mech-Mind Robotics
*All rights reserved.
*
*Redistribution and use in source and binary forms, with or without
*modification, are permitted provided that the following conditions are met:
*
*1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
*2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
*3. Neither the name of the copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
*THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
*AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
*IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
*DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
*FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
*DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
*SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
*CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
*OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
*OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
******************************************************************************/
/*
Through this example program, we demonstrate how to use the defect segmentation model exported from
Mech-DLK for image inference.
*/
#include <vector>
#include <string>
#include <iostream>
#include "cpp/MMindInferEngine.h"
const std::string kPackPath = "./resources/DefectSegmentation/defect_segmentation_model.dlkpack";
const std::string kImagePath = "./resources/DefectSegmentation/defect_segmentation_image.jpg";
int main()
{
mmind::dl::MMindImage image;
image.createFromPath(kImagePath);
std::vector<mmind::dl::MMindImage> images = {image};
mmind::dl::MMindInferEngine engine;
engine.create(kPackPath);
// set the infer device type.
// engine.setInferDeviceType(mmind::dl::InferDeviceType::GpuDefault);
// set the batch size.
// engine.setBatchSize(1);
// set the float precision.
// engine.setFloatPrecision(mmind::dl::FloatPrecisionType::FP32);
// set the device id.
// engine.setDeviceId(0);
engine.load();
engine.infer(images);
std::vector<mmind::dl::MMindResult> results;
engine.getResults(results);
engine.resultVisualization(images);
image.show("Result");
engine.release();
return 0;
}