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5 Commits

Author SHA1 Message Date
Sem van der Hoeven
921609de5d [EDIT] stuff 2021-06-04 11:39:23 +02:00
Sem van der Hoeven
fe94b0f83d [FIX] showing of pose detection points 2021-06-04 10:55:53 +02:00
Sem van der Hoeven
ab30c41bee [FIX] crashing with pose detection 2021-06-02 10:41:50 +02:00
Sem van der Hoeven
1a149b8b7e [ADD] static camera instance 2021-06-02 10:05:09 +02:00
Sem van der Hoeven
cc7cb37840 [ADD] caffemodel project entry 2021-06-02 09:44:30 +02:00
12 changed files with 97 additions and 121 deletions

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@@ -1,13 +1,15 @@
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/video.hpp>
#include "ObjectDetection.h"
#include "BackgroundRemover.h"
#include "SkinDetector.h"
#include "FaceDetector.h"
#include "FingerCount.h"
#include "VideoCapture.h"
#include "async/StaticCameraInstance.h"
using namespace videocapture;
namespace computervision
{
@@ -22,20 +24,22 @@ namespace computervision
FaceDetector faceDetector;
FingerCount fingerCount;
cv::VideoCapture cap = static_camera::getCap();
ObjectDetection::ObjectDetection()
{
}
cv::Mat ObjectDetection::readCamera() {
/*videocapture::getMutex()->lock();
videocapture::getCap().read(img);
videocapture::getMutex()->unlock();*/
img = videocapture::readFrame();
cap.read(img);
return img;
}
cv::VideoCapture ObjectDetection::getCap()
{
return cap;
}
bool ObjectDetection::detectHand(Mat cameraFrame)
{
Mat inputFrame = generateHandMaskSquare(cameraFrame);
@@ -79,13 +83,8 @@ namespace computervision
void ObjectDetection::calculateDifference()
{
//videocapture::getMutex()->lock();
//videocapture::getCap().read(img);
//videocapture::getCap().read(img2);
//videocapture::getMutex()->unlock()
img = videocapture::readFrame();
img2 = videocapture::readFrame();
cap.read(img);
cap.read(img2);
cv::cvtColor(img, imgGray, cv::COLOR_RGBA2GRAY);
cv::cvtColor(img2, img2Gray, cv::COLOR_RGBA2GRAY);

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@@ -65,6 +65,7 @@ namespace computervision
*/
bool drawHandMaskRect(cv::Mat *input);
cv::VideoCapture getCap();
};

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@@ -39,16 +39,20 @@ namespace computervision
int nPoints = 18;
#endif
Net net;
void OpenPoseVideo::setup() {
net = readNetFromCaffe(protoFile, weightsFile);
net.setPreferableBackend(DNN_TARGET_CPU);
}
void OpenPoseVideo::movementSkeleton(Mat& inputImage, std::function<void(std::vector<Point>&, cv::Mat& poinst_on_image)> f) {
std::cout << "movement skeleton start" << std::endl;
int inWidth = 368;
int inHeight = 368;
float thresh = 0.01;
void OpenPoseVideo::setup() {
net = readNetFromCaffe(protoFile, weightsFile);
}
cv::Mat OpenPoseVideo::getBlobFromImage(cv::Mat inputImage)
{
Mat frame;
int frameWidth = inputImage.size().width;
int frameHeight = inputImage.size().height;
@@ -56,16 +60,8 @@ namespace computervision
double t = (double)cv::getTickCount();
std::cout << "reading input image and blob" << std::endl;
frame = inputImage.clone();
frame = inputImage;
Mat inpBlob = blobFromImage(frame, 1.0 / 255, Size(inWidth, inHeight), Scalar(0, 0, 0), false, false);
return inpBlob;
}
void OpenPoseVideo::movementSkeleton(Mat inputImage, Mat inpBlob, std::function<void(std::vector<Point>)> f) {
std::cout << "movement skeleton start" << std::endl;
int frameWidth = inputImage.size().width;
int frameHeight = inputImage.size().height;
std::cout << "done reading image and blob" << std::endl;
@@ -73,7 +69,7 @@ namespace computervision
std::cout << "done setting input to net" << std::endl;
Mat output = net.forward();
std::cout << "time took to set input and forward: " << t << std::endl;
int H = output.size[2];
int W = output.size[3];
@@ -96,16 +92,17 @@ namespace computervision
p.x *= (float)frameWidth / W;
p.y *= (float)frameHeight / H;
/*circle(frame, cv::Point((int)p.x, (int)p.y), 8, Scalar(0, 255, 255), -1);
cv::putText(frame, cv::format("%d", n), cv::Point((int)p.x, (int)p.y), cv::FONT_HERSHEY_COMPLEX, 1.1, cv::Scalar(0, 0, 255), 2);*/
circle(frame, cv::Point((int)p.x, (int)p.y), 8, Scalar(0, 255, 255), -1);
cv::putText(frame, cv::format("%d", n), cv::Point((int)p.x, (int)p.y), cv::FONT_HERSHEY_COMPLEX, 1.1, cv::Scalar(0, 0, 255), 2);
}
points[n] = p;
}
//cv::putText(frame, cv::format("time taken = %.2f sec", t), cv::Point(50, 50), cv::FONT_HERSHEY_COMPLEX, .8, cv::Scalar(255, 50, 0), 2);
// imshow("Output-Keypoints", frameCopy);
/*imshow("Output-Skeleton", frame);*/
cv::putText(frame, cv::format("time taken = %.2f sec", t), cv::Point(50, 50), cv::FONT_HERSHEY_COMPLEX, .8, cv::Scalar(255, 50, 0), 2);
std::cout << "time taken: " << t << std::endl;
//imshow("Output-Keypoints", frame);
//imshow("Output-Skeleton", frame);
std::cout << "about to call points receiving method" << std::endl;
f(points);
f(points,frame);
}
}

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@@ -13,8 +13,7 @@ namespace computervision
private:
public:
cv::Mat getBlobFromImage(cv::Mat inputImage);
void movementSkeleton(Mat inputImage, Mat inpBlob, std::function<void(std::vector<Point>)> f);
void movementSkeleton(Mat& inputImage, std::function<void(std::vector<Point>&, cv::Mat& poinst_on_image)> f);
void setup();
};
}

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@@ -1,33 +0,0 @@
#include "VideoCapture.h"
#include <mutex>
#include <iostream>
namespace videocapture{
static cv::VideoCapture cap(0);
static std::mutex mtx;
cv::VideoCapture getCap() {
cap.release();
return cap;
}
cv::Mat readFrame()
{
std::cout << "reading frame" << std::endl;
cv::Mat camFrame, videoFrame;
mtx.lock();
bool res = cap.read(camFrame);
std::cout << (res ? "reading worked" : "reading failed") << std::endl;
videoFrame = camFrame.clone();
mtx.unlock();
return videoFrame;
}
std::mutex* getMutex()
{
return &mtx;
}
}

View File

@@ -1,12 +0,0 @@
#pragma once
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/video.hpp>
#include <mutex>
namespace videocapture {
cv::VideoCapture getCap();
std::mutex* getMutex();
cv::Mat readFrame();
}

View File

@@ -0,0 +1,12 @@
#pragma once
#include <opencv2/videoio.hpp>
namespace static_camera
{
static cv::VideoCapture getCap()
{
static cv::VideoCapture cap(0);
return cap;
}
};

View File

@@ -2,10 +2,7 @@
#include "async_arm_detection.h"
#include "../OpenPoseVideo.h"
#include <thread>
#include "../VideoCapture.h"
#include <opencv2/dnn.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include "StaticCameraInstance.h"
namespace computervision
@@ -15,27 +12,35 @@ namespace computervision
}
void AsyncArmDetection::run_arm_detection()
void AsyncArmDetection::run_arm_detection(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op)
{
VideoCapture cap = static_camera::getCap();
}
void AsyncArmDetection::start(std::function<void(std::vector<Point>)> points_ready_func, OpenPoseVideo op)
{
auto lambda = [](cv::Mat img, std::function<void(std::vector<Point>)> f, OpenPoseVideo op, cv::Mat inpBlob) {
std::cout << "STARTING THREAD LAMBDA" << std::endl;
/*cv::VideoCapture cap = static_camera::getCap();*/
//imshow("image", img); 255, Size(368, 368), Scalar(0, 0, 0), false, false);
op.movementSkeleton(img, inpBlob, f);
//}
};
if (!cap.isOpened())
{
std::cout << "capture was closed, opening..." << std::endl;
cap.open(0);
}
while (true)
{
Mat img;
cap.read(img);
op.movementSkeleton(img, points_ready_func);
}
}
void AsyncArmDetection::start(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op)
{
cv::Mat img = videocapture::readFrame();
std::cout << "starting function" << std::endl;
cv::Mat inpBlob = op.getBlobFromImage(videocapture::readFrame());
std::thread async_arm_detect_thread(lambda, img, points_ready_func, op, inpBlob);
std::thread async_arm_detect_thread(&AsyncArmDetection::run_arm_detection,this, points_ready_func, op);
async_arm_detect_thread.detach(); // makes sure the thread is detached from the variable.
}
}

View File

@@ -4,6 +4,7 @@
#include <opencv2/videoio.hpp>
#include <functional>
#include "../OpenPoseVideo.h"
#include "StaticCameraInstance.h"
namespace computervision
@@ -14,9 +15,9 @@ namespace computervision
AsyncArmDetection(void);
void start(std::function<void(std::vector<cv::Point>)>, computervision::OpenPoseVideo op);
void start(std::function<void(std::vector<cv::Point>, cv::Mat poinst_on_image)>, computervision::OpenPoseVideo op);
private:
void run_arm_detection();
void run_arm_detection(std::function<void(std::vector<Point>, cv::Mat poinst_on_image)> points_ready_func, OpenPoseVideo op);
};
}

View File

@@ -32,14 +32,16 @@
static double UpdateDelta();
static GLFWwindow* window;
computervision::AsyncArmDetection as;
computervision::OpenPoseVideo openPoseVideo;
bool points_img_available = false;
cv::Mat points_img;
void retrieve_points(std::vector<Point> arm_points)
void retrieve_points(std::vector<Point> arm_points, cv::Mat points_on_image)
{
std::cout << "got points!!" << std::endl;
std::cout << "points: " << arm_points << std::endl;
as.start(retrieve_points, openPoseVideo);
points_img = points_on_image;
points_img_available = true;
}
int main(void)
@@ -79,17 +81,20 @@ int main(void)
// create object detection object instance
computervision::ObjectDetection objDetect;
//computervision::OpenPoseImage openPoseImage;
computervision::OpenPoseVideo openPoseVideo;
openPoseVideo.setup();
// set up object detection
//objDetect.setup();
cv::Mat cameraFrame;
//cv::VideoCapture cam = objDetect.getCap();
cv::Mat img;
cv::VideoCapture cap = objDetect.getCap();
//cam.read(img);
//imshow("camera in main loop", img);
//openPoseVideo.setup();
computervision::AsyncArmDetection as;
as.start(retrieve_points,openPoseVideo);
@@ -110,8 +115,12 @@ int main(void)
render_engine::renderer::Render(entity, shader);
cameraFrame = objDetect.readCamera();
//objDetect.detectHand(cameraFrame);
if (points_img_available)
{
imshow("points", points_img);
points_img_available = false;
}
// Finish up
shader.Stop();

View File

@@ -26,7 +26,6 @@
<ClCompile Include="src\computervision\SkinDetector.cpp" />
<ClCompile Include="src\computervision\FingerCount.cpp" />
<ClCompile Include="src\computervision\BackgroundRemover.cpp" />
<ClCompile Include="src\computervision\VideoCapture.cpp" />
<ClCompile Include="src\entities\camera.cpp" />
<ClCompile Include="src\entities\entity.cpp" />
<ClCompile Include="src\main.cpp" />
@@ -39,13 +38,13 @@
</ItemGroup>
<ItemGroup>
<ClInclude Include="src\computervision\async\async_arm_detection.h" />
<ClInclude Include="src\computervision\async\StaticCameraInstance.h" />
<ClInclude Include="src\computervision\FaceDetector.h" />
<ClInclude Include="src\computervision\FingerCount.h" />
<ClInclude Include="src\computervision\BackgroundRemover.h" />
<ClInclude Include="src\computervision\OpenPoseVideo.h" />
<ClInclude Include="src\computervision\SkinDetector.h" />
<ClInclude Include="src\computervision\ObjectDetection.h" />
<ClInclude Include="src\computervision\VideoCapture.h" />
<ClInclude Include="src\entities\camera.h" />
<ClInclude Include="src\entities\entity.h" />
<ClInclude Include="src\models\model.h" />
@@ -61,6 +60,7 @@
<Xml Include="res\haarcascade_frontalface_alt.xml" />
</ItemGroup>
<ItemGroup>
<None Include="..\..\Avans Hogeschool\Kim Veldhoen - Proftaak 2.4\pose_iter_160000.caffemodel" />
<None Include="res\pose\coco\pose_deploy_linevec.prototxt" />
<None Include="res\pose\mpi\pose_deploy_linevec_faster_4_stages.prototxt" />
<None Include="res\pose\mpi\pose_iter_160000.caffemodel" />
@@ -131,8 +131,8 @@
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|x64'">
<LinkIncremental>false</LinkIncremental>
<IncludePath>$(VC_IncludePath);$(WindowsSDK_IncludePath);;C:\opencv\opencv\build\include</IncludePath>
<LibraryPath>$(VC_LibraryPath_x64);$(WindowsSDK_LibraryPath_x64);C:\opencv\opencv\build\x64\vc15\lib</LibraryPath>
<IncludePath>C:\opencv\build\include\;$(VC_IncludePath);$(WindowsSDK_IncludePath);C:\opencv\opencv\build\include</IncludePath>
<LibraryPath>C:\opencv\build\x64\vc15\lib;$(VC_LibraryPath_x64);$(WindowsSDK_LibraryPath_x64);C:\opencv\opencv\build\x64\vc15\lib</LibraryPath>
</PropertyGroup>
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
<ClCompile>
@@ -205,7 +205,7 @@
<OptimizeReferences>true</OptimizeReferences>
<GenerateDebugInformation>true</GenerateDebugInformation>
<AdditionalLibraryDirectories>$(SolutionDir)lib\glfw-3.3.2\$(Platform);$(SolutionDir)lib\glew-2.1.0\lib\Release\$(Platform);%(AdditionalLibraryDirectories)</AdditionalLibraryDirectories>
<AdditionalDependencies>kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies); opencv_world452.lib</AdditionalDependencies>
<AdditionalDependencies>opencv_world452.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
</Link>
</ItemDefinitionGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />

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@@ -63,9 +63,6 @@
<ClCompile Include="src\computervision\async\async_arm_detection.cpp">
<Filter>Source Files</Filter>
</ClCompile>
<ClCompile Include="src\computervision\VideoCapture.cpp">
<Filter>Source Files</Filter>
</ClCompile>
</ItemGroup>
<ItemGroup>
<ClInclude Include="src\entities\Camera.h">
@@ -119,7 +116,7 @@
<ClInclude Include="src\computervision\async\async_arm_detection.h">
<Filter>Header Files</Filter>
</ClInclude>
<ClInclude Include="src\computervision\VideoCapture.h">
<ClInclude Include="src\computervision\async\StaticCameraInstance.h">
<Filter>Header Files</Filter>
</ClInclude>
</ItemGroup>
@@ -130,5 +127,6 @@
<None Include="res\pose\coco\pose_deploy_linevec.prototxt" />
<None Include="res\pose\mpi\pose_deploy_linevec_faster_4_stages.prototxt" />
<None Include="res\pose\mpi\pose_iter_160000.caffemodel" />
<None Include="..\..\Avans Hogeschool\Kim Veldhoen - Proftaak 2.4\pose_iter_160000.caffemodel" />
</ItemGroup>
</Project>