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/**
* @file
* @brief Unit tests for CVObjectDetection
* @author Jonathan Thomas <jonathan@openshot.org>
* @author Brenno Caldato <brenno.caldato@outlook.com>
*
* @ref License
*/
// Copyright (c) 2008-2020 OpenShot Studios, LLC
//
// SPDX-License-Identifier: LGPL-3.0-or-later
#include <sstream>
#include <memory>
#include "openshot_catch.h"
#include "Clip.h"
#include "CVObjectDetection.h"
#include "ProcessingController.h"
#include "Json.h"
using namespace openshot;
std::string effectInfo =(" {\"protobuf_data_path\": \"objdetector.data\", "
" \"processing_device\": \"GPU\", "
" \"model_configuration\": \"~/yolo/yolov3.cfg\", "
" \"model_weights\": \"~/yolo/yolov3.weights\", "
" \"classes_file\": \"~/yolo/obj.names\"} ");
// Just for the stabilizer constructor, it won't be used
ProcessingController processingController;
TEST_CASE( "DetectObject_Video", "[libopenshot][opencv][objectdetection]" )
{
// Create a video clip
std::stringstream path;
path << TEST_MEDIA_PATH << "run.mp4";
// Open clip
openshot::Clip c1(path.str());
c1.Open();
//TODO remove hardcoded path
CVObjectDetection objectDetector(effectInfo, processingController);
objectDetector.detectObjectsClip(c1, 1, 20, true);
CVDetectionData dd = objectDetector.GetDetectionData(20);
float x1 = dd.boxes.at(20).x;
float y1 = dd.boxes.at(20).y;
float x2 = x1 + dd.boxes.at(20).width;
float y2 = y1 + dd.boxes.at(20).height;
float confidence = dd.confidences.at(20);
int classId = dd.classIds.at(20);
CHECK((int) (x1 * 720) == 106);
CHECK((int) (y1 * 400) == 21);
CHECK((int) (x2 * 720) == 628);
CHECK((int) (y2 * 400) == 429);
CHECK((int) (confidence * 1000) == 554);
CHECK(classId == 0);
}
TEST_CASE( "SaveLoad_Protobuf", "[libopenshot][opencv][objectdetection]" )
{
// Create a video clip
std::stringstream path;
path << TEST_MEDIA_PATH << "run.mp4";
// Open clip
openshot::Clip c1(path.str());
c1.Open();
//TODO remove hardcoded path
CVObjectDetection objectDetector_1(effectInfo ,processingController);
objectDetector_1.detectObjectsClip(c1, 1, 20, true);
CVDetectionData dd_1 = objectDetector_1.GetDetectionData(20);
float x1_1 = dd_1.boxes.at(20).x;
float y1_1 = dd_1.boxes.at(20).y;
float x2_1 = x1_1 + dd_1.boxes.at(20).width;
float y2_1 = y1_1 + dd_1.boxes.at(20).height;
float confidence_1 = dd_1.confidences.at(20);
int classId_1 = dd_1.classIds.at(20);
objectDetector_1.SaveObjDetectedData();
CVObjectDetection objectDetector_2(effectInfo, processingController);
objectDetector_2._LoadObjDetectdData();
CVDetectionData dd_2 = objectDetector_2.GetDetectionData(20);
float x1_2 = dd_2.boxes.at(20).x;
float y1_2 = dd_2.boxes.at(20).y;
float x2_2 = x1_2 + dd_2.boxes.at(20).width;
float y2_2 = y1_2 + dd_2.boxes.at(20).height;
float confidence_2 = dd_2.confidences.at(20);
int classId_2 = dd_2.classIds.at(20);
CHECK((int) (x1_1 * 720) == (int) (x1_2 * 720));
CHECK((int) (y1_1 * 400) == (int) (y1_2 * 400));
CHECK((int) (x2_1 * 720) == (int) (x2_2 * 720));
CHECK((int) (y2_1 * 400) == (int) (y2_2 * 400));
CHECK((int) (confidence_1 * 1000) == (int) (confidence_2 * 1000));
CHECK(classId_1 == classId_2);
}
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