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13 Commits

Author SHA1 Message Date
Jasper
23624aea3f [DELETE] deleted unnecessary functions 2021-05-28 14:21:55 +02:00
Jasper
a68c6a57bf [EDIT] edited file 2021-05-28 12:32:10 +02:00
Jasper
078a6ce66d [ADD] added all the files 2021-05-28 12:27:12 +02:00
Sem van der Hoeven
f1f1aac93d [ADD] comments 2021-05-25 15:54:02 +02:00
Sem van der Hoeven
563f465e2c [EDIT] remove unused methods 2021-05-25 15:46:53 +02:00
Sem van der Hoeven
05ae8ee019 [FEATURE] finished hand open/closed recognition 2021-05-25 14:49:04 +02:00
Sem van der Hoeven
3696e2eb30 [EDIT] improve hand detection with mask 2021-05-25 14:19:18 +02:00
Sem van der Hoeven
276aa1a449 [ADD] mask methods 2021-05-25 13:31:25 +02:00
Sem van der Hoeven
ad4075a826 [EDIT] change window size to ints 2021-05-25 10:19:33 +02:00
Sem van der Hoeven
e50cd92a35 [ADD] some headers 2021-05-25 10:16:58 +02:00
Sem van der Hoeven
ff79c1525c Merge branch 'feature/objectdetection' into develop 2021-05-21 15:25:29 +02:00
Sem van der Hoeven
5b4d9b624f Merge branch 'feature/objectdetection' into develop 2021-05-21 15:22:38 +02:00
Menno
01571d191f [FIXED] openCV included 2021-05-18 14:05:56 +02:00
15 changed files with 5365 additions and 96 deletions

2
.gitignore vendored
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@@ -428,4 +428,6 @@ FodyWeavers.xsd
**/docs/*
**/doc/*
**/pose_iter_160000.caffemodel
# End of https://www.toptal.com/developers/gitignore/api/c++,visualstudio,visualstudiocode,opencv

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@@ -151,9 +151,16 @@ namespace computervision
drawVectorPoints(frame, filtered_finger_points, color_yellow, false);
putText(frame, to_string(filtered_finger_points.size()), center_bounding_rect, FONT_HERSHEY_PLAIN, 3, color_purple);
amount_of_fingers = filtered_finger_points.size();
return contours_image;
}
int FingerCount::getAmountOfFingers()
{
return amount_of_fingers;
}
double FingerCount::findPointsDistance(Point a, Point b) {
Point difference = a - b;
return sqrt(difference.ddot(difference));

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@@ -24,6 +24,13 @@ namespace computervision
*/
Mat findFingersCount(Mat input_image, Mat frame);
/**
* @brief gets the currently held-up finger count.
*
* @return the currently held-up finger count
*/
int getAmountOfFingers();
private:
// colors to use
Scalar color_blue;
@@ -34,6 +41,8 @@ namespace computervision
Scalar color_yellow;
Scalar color_purple;
int amount_of_fingers;
/**
* @brief finds the distance between 2 points.
*

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@@ -1,4 +1,8 @@
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/video.hpp>
#include "ObjectDetection.h"
#include "BackgroundRemover.h"
#include "SkinDetector.h"
@@ -7,41 +11,53 @@
namespace computervision
{
cv::VideoCapture cap(0);
cv::VideoCapture cap(1);
cv::Mat img, imgGray, img2, img2Gray, img3, img4;
int handMaskStartXPos, handMaskStartYPos, handMaskWidth, handMaskHeight;
bool handMaskGenerated = false;
Mat frame, frameOut, handMask, foreground, fingerCountDebug;
BackgroundRemover backgroundRemover;
SkinDetector skinDetector;
FaceDetector faceDetector;
FingerCount fingerCount;
ObjectDetection::ObjectDetection()
{
}
bool ObjectDetection::setup()
cv::Mat ObjectDetection::readCamera() {
cap.read(img);
return img;
}
bool ObjectDetection::detectHand(Mat cameraFrame)
{
if (!cap.isOpened()) {
cout << "Can't find camera!" << endl;
return false;
}
cap.read(frame);
frameOut = frame.clone();
Mat inputFrame = generateHandMaskSquare(cameraFrame);
frameOut = inputFrame.clone();
// detect skin color
skinDetector.drawSkinColorSampler(frameOut);
foreground = backgroundRemover.getForeground(frame);
// remove background from image
foreground = backgroundRemover.getForeground(inputFrame);
faceDetector.removeFaces(frame, foreground);
// detect the hand contours
handMask = skinDetector.getSkinMask(foreground);
// count the amount of fingers and put the info on the matrix
fingerCountDebug = fingerCount.findFingersCount(handMask, frameOut);
//backgroundRemover.calibrate(frame);
// get the amount of fingers
int fingers_amount = fingerCount.getAmountOfFingers();
// draw the hand rectangle on the camera input, and draw text showing if the hand is open or closed.
drawHandMaskRect(&cameraFrame);
string hand_text = fingers_amount > 0 ? "open" : "closed";
putText(cameraFrame,hand_text, Point(10, 75), FONT_HERSHEY_PLAIN, 2.0, Scalar(255, 0, 255),3);
imshow("camera", cameraFrame);
imshow("output", frameOut);
imshow("foreground", foreground);
@@ -50,12 +66,12 @@ namespace computervision
int key = waitKey(1);
if (key == 98) // b
backgroundRemover.calibrate(frame);
else if (key == 115) // s
skinDetector.calibrate(frame);
if (key == 98) // b, calibrate the background
backgroundRemover.calibrate(inputFrame);
else if (key == 115) // s, calibrate the skin color
skinDetector.calibrate(inputFrame);
return true;
return fingers_amount > 0;
}
void ObjectDetection::calculateDifference()
@@ -72,14 +88,32 @@ namespace computervision
imshow("threshold", img4);
}
void ObjectDetection::detect()
{
int key = waitKey(1);
if (key == 98) // b
backgroundRemover.calibrate(frame);
else if (key == 115) // s
skinDetector.calibrate(frame);
cv::Mat ObjectDetection::generateHandMaskSquare(cv::Mat img)
{
handMaskStartXPos = 20;
handMaskStartYPos = img.rows / 5;
handMaskWidth = img.cols / 3;
handMaskHeight = img.cols / 3;
cv::Mat mask = cv::Mat::zeros(img.size(), img.type());
cv::Mat dstImg = cv::Mat::zeros(img.size(), img.type());
cv::rectangle(mask, Rect(handMaskStartXPos, handMaskStartYPos, handMaskWidth, handMaskHeight), Scalar(255, 255, 255), -1);
img.copyTo(dstImg, mask);
handMaskGenerated = true;
return dstImg;
}
bool ObjectDetection::drawHandMaskRect(cv::Mat* input)
{
if (!handMaskGenerated) return false;
rectangle(*input, Rect(handMaskStartXPos, handMaskStartYPos, handMaskWidth, handMaskHeight), Scalar(255, 255, 255));
return true;
}
void ObjectDetection::showWebcam()

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@@ -22,13 +22,7 @@ namespace computervision
*
*/
ObjectDetection();
/**
* @brief Initializes the object detection, captures a frame and modifies it
* so it is ready to use for object detection
*
* @return return true if webcam is connected, returns false if it isn't
*/
bool setup();
/**
* @brief Displays an image of the current webcam-footage
*
@@ -40,11 +34,36 @@ namespace computervision
*
*/
void calculateDifference();
/**
* @brief Listens for keypresses and handles them
* @brief generates the square that will hold the mask in which the hand will be detected.
*
* @param img the current camear frame
* @return a matrix containing the mask
*/
void detect();
cv::Mat generateHandMaskSquare(cv::Mat img);
/**
* @brief reads the camera and returns it in a matrix.
*
* @return the camera frame in a matrix
*/
cv::Mat readCamera();
/**
* @brief detects a hand based on the given hand mask input frame.
*
* @param inputFrame the input frame from the camera
* @return true if hand is open, false if hand is closed
*/
bool detectHand(cv::Mat cameraFrame);
/**
* @brief draws the hand mask rectangle on the given input matrix.
*
* @param input the input matrix to draw the rectangle on
*/
bool drawHandMaskRect(cv::Mat *input);
};

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@@ -0,0 +1,95 @@
#include "OpenPoseVideo.h"
using namespace std;
using namespace cv;
using namespace cv::dnn;
namespace computervision
{
#define MPI
#ifdef MPI
const int POSE_PAIRS[7][2] =
{
{0,1}, {1,2}, {2,3},
{3,4}, {1,5}, {5,6},
{6,7}
};
string protoFile = "res/pose/mpi/pose_deploy_linevec_faster_4_stages.prototxt";
string weightsFile = "res/pose/mpi/pose_iter_160000.caffemodel";
int nPoints = 8;
#endif
#ifdef COCO
const int POSE_PAIRS[17][2] =
{
{1,2}, {1,5}, {2,3},
{3,4}, {5,6}, {6,7},
{1,8}, {8,9}, {9,10},
{1,11}, {11,12}, {12,13},
{1,0}, {0,14},
{14,16}, {0,15}, {15,17}
};
string protoFile = "pose/coco/pose_deploy_linevec.prototxt";
string weightsFile = "pose/coco/pose_iter_440000.caffemodel";
int nPoints = 18;
#endif
Net net;
void OpenPoseVideo::setup() {
net = readNetFromCaffe(protoFile, weightsFile);
}
void OpenPoseVideo::movementSkeleton(Mat inputImage) {
int inWidth = 368;
int inHeight = 368;
float thresh = 0.01;
Mat frame;
int frameWidth = inputImage.size().width;
int frameHeight = inputImage.size().height;
double t = (double)cv::getTickCount();
frame = inputImage;
Mat inpBlob = blobFromImage(frame, 1.0 / 255, Size(inWidth, inHeight), Scalar(0, 0, 0), false, false);
net.setInput(inpBlob);
Mat output = net.forward();
int H = output.size[2];
int W = output.size[3];
// find the position of the body parts
vector<Point> points(nPoints);
for (int n = 0; n < nPoints; n++)
{
// Probability map of corresponding body's part.
Mat probMap(H, W, CV_32F, output.ptr(0, n));
Point2f p(-1, -1);
Point maxLoc;
double prob;
minMaxLoc(probMap, 0, &prob, 0, &maxLoc);
if (prob > thresh)
{
p = maxLoc;
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);
}
points[n] = p;
}
imshow("Output-Keypoints", frame);
}
}

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@@ -0,0 +1,19 @@
#pragma once
#include <opencv2/dnn.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
using namespace cv;
namespace computervision
{
class OpenPoseVideo{
private:
public:
void movementSkeleton(Mat inputImage);
void setup();
};
}

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@@ -22,7 +22,7 @@ namespace computervision
void SkinDetector::drawSkinColorSampler(Mat input) {
int frameWidth = input.size().width, frameHeight = input.size().height;
int rectangleSize = 20;
int rectangleSize = 25;
Scalar rectangleColor = Scalar(255, 0, 255);
skinColorSamplerRectangle1 = Rect(frameWidth / 5, frameHeight / 2, rectangleSize, rectangleSize);

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@@ -4,6 +4,11 @@
#define STB_IMAGE_IMPLEMENTATION
#include "stb_image.h"
#include <ostream>
#include <stdlib.h>
#include <opencv2/core.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/video.hpp>
#include "models/model.h"
#include "renderEngine/loader.h"
@@ -13,6 +18,8 @@
#include "toolbox/toolbox.h"
#include "computervision/ObjectDetection.h"
//#include "computervision/OpenPoseImage.h"
#include "computervision/OpenPoseVideo.h"
#pragma comment(lib, "glfw3.lib")
#pragma comment(lib, "glew32s.lib")
@@ -25,80 +32,89 @@ static GLFWwindow* window;
int main(void)
{
#pragma region OPENGL_SETTINGS
if (!glfwInit())
throw "Could not inditialize glwf";
window = glfwCreateWindow(WINDOW_WIDTH, WINDOW_HEIGT, "SDBA", NULL, NULL);
if (!window)
{
glfwTerminate();
throw "Could not initialize glwf";
}
glfwMakeContextCurrent(window);
glewInit();
glGetError();
#pragma endregion
#pragma region OPENGL_SETTINGS
if (!glfwInit())
throw "Could not inditialize glwf";
window = glfwCreateWindow(WINDOW_WIDTH, WINDOW_HEIGT, "SDBA", NULL, NULL);
if (!window)
{
glfwTerminate();
throw "Could not initialize glwf";
}
glfwMakeContextCurrent(window);
glewInit();
glGetError();
#pragma endregion
glfwSetKeyCallback(window, [](GLFWwindow* window, int key, int scancode, int action, int mods)
{
if (key == GLFW_KEY_ESCAPE)
glfwSetWindowShouldClose(window, true);
});
glfwSetKeyCallback(window, [](GLFWwindow* window, int key, int scancode, int action, int mods)
{
if (key == GLFW_KEY_ESCAPE)
glfwSetWindowShouldClose(window, true);
});
models::RawModel raw_model = LoadObjModel("res/Tree.obj");
models::ModelTexture texture = { render_engine::loader::LoadTexture("res/TreeTexture.png") };
models::TexturedModel model = { raw_model, texture };
entities::Entity entity(model, glm::vec3(0, -5, -20), glm::vec3(0, 0, 0), 1);
models::RawModel raw_model = LoadObjModel("res/Tree.obj");
models::ModelTexture texture = { render_engine::loader::LoadTexture("res/TreeTexture.png") };
models::TexturedModel model = { raw_model, texture };
entities::Entity entity(model, glm::vec3(0, -5, -20), glm::vec3(0, 0, 0), 1);
shaders::StaticShader shader;
shader.Init();
render_engine::renderer::Init(shader);
shaders::StaticShader shader;
shader.Init();
render_engine::renderer::Init(shader);
entities::Camera camera(glm::vec3(0, 0, 0), glm::vec3(0, 0, 0));
entities::Camera camera(glm::vec3(0, 0, 0), glm::vec3(0, 0, 0));
// create object detection object instance
computervision::ObjectDetection objDetect;
// create object detection object instance
computervision::ObjectDetection objDetect;
//computervision::OpenPoseImage openPoseImage;
computervision::OpenPoseVideo openPoseVideo;
// set up object detection
//objDetect.setup();
// set up object detection
//objDetect.setup();
cv::Mat cameraFrame;
openPoseVideo.setup();
// Main game loop
while (!glfwWindowShouldClose(window))
{
// Update
const double delta = UpdateDelta();
entity.IncreaseRotation(glm::vec3(0, 1, 0));
camera.Move(window);
// Update
const double delta = UpdateDelta();
entity.IncreaseRotation(glm::vec3(0, 1, 0));
camera.Move(window);
// Render
render_engine::renderer::Prepare();
shader.Start();
shader.LoadViewMatrix(camera);
render_engine::renderer::Prepare();
shader.Start();
shader.LoadViewMatrix(camera);
render_engine::renderer::Render(entity, shader);
objDetect.setup();
render_engine::renderer::Render(entity, shader);
cameraFrame = objDetect.readCamera();
//objDetect.detectHand(cameraFrame);
openPoseVideo.movementSkeleton(cameraFrame);
// Finish up
shader.Stop();
shader.Stop();
glfwSwapBuffers(window);
glfwPollEvents();
}
// Clean up
shader.CleanUp();
render_engine::loader::CleanUp();
shader.CleanUp();
render_engine::loader::CleanUp();
glfwTerminate();
return 0;
return 0;
}
static double UpdateDelta()
{
double current_time = glfwGetTime();
static double last_frame_time = current_time;
double delt_time = current_time - last_frame_time;
last_frame_time = current_time;
return delt_time;
double current_time = glfwGetTime();
static double last_frame_time = current_time;
double delt_time = current_time - last_frame_time;
last_frame_time = current_time;
return delt_time;
}

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@@ -18,7 +18,7 @@ namespace render_engine
void Init(shaders::StaticShader& shader)
{
const glm::mat4 projectionMatrix =
glm::perspective(glm::radians(FOV), (WINDOW_WIDTH / WINDOW_HEIGT), NEAR_PLANE, FAR_PLANE);
glm::perspective(glm::radians(FOV), (float)(WINDOW_WIDTH / WINDOW_HEIGT), NEAR_PLANE, FAR_PLANE);
shader.Start();
shader.LoadProjectionMatrix(projectionMatrix);

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@@ -5,8 +5,8 @@
namespace toolbox
{
#define WINDOW_WIDTH 1400.0f
#define WINDOW_HEIGT 800.0f
#define WINDOW_WIDTH 1400
#define WINDOW_HEIGT 800
glm::mat4 CreateModelMatrix(glm::vec3 translation, glm::vec3 rotation, float scale);

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@@ -21,6 +21,7 @@
<ItemGroup>
<ClCompile Include="src\computervision\FaceDetector.cpp" />
<ClCompile Include="src\computervision\ObjectDetection.cpp" />
<ClCompile Include="src\computervision\OpenPoseVideo.cpp" />
<ClCompile Include="src\computervision\SkinDetector.cpp" />
<ClCompile Include="src\computervision\FingerCount.cpp" />
<ClCompile Include="src\computervision\BackgroundRemover.cpp" />
@@ -38,6 +39,7 @@
<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\entities\camera.h" />
@@ -112,14 +114,16 @@
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Debug|x64'">
<LinkIncremental>true</LinkIncremental>
<IncludePath>C:\opencv\build\include;$(IncludePath)</IncludePath>
<LibraryPath>C:\opencv\build\x64\vc15\lib;$(LibraryPath)</LibraryPath>
<IncludePath>C:\opencv\build\include;$(IncludePath);C:\opencv\opencv\build\include</IncludePath>
<LibraryPath>C:\opencv\build\x64\vc15\lib;$(LibraryPath);C:\opencv\opencv\build\x64\vc15\lib</LibraryPath>
</PropertyGroup>
<PropertyGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
<LinkIncremental>false</LinkIncremental>
</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>
</PropertyGroup>
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Debug|Win32'">
<ClCompile>
@@ -151,7 +155,7 @@
<SubSystem>Console</SubSystem>
<GenerateDebugInformation>true</GenerateDebugInformation>
<AdditionalLibraryDirectories>$(SolutionDir)lib\glfw-3.3.2\$(Platform);$(SolutionDir)lib\glew-2.1.0\lib\Release\$(Platform);%(AdditionalLibraryDirectories)</AdditionalLibraryDirectories>
<AdditionalDependencies>opencv_world452d.lib;%(AdditionalDependencies)</AdditionalDependencies>
<AdditionalDependencies>opencv_world452d.lib;%(AdditionalDependencies); opencv_world452.lib</AdditionalDependencies>
</Link>
</ItemDefinitionGroup>
<ItemDefinitionGroup Condition="'$(Configuration)|$(Platform)'=='Release|Win32'">
@@ -192,6 +196,7 @@
<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>
</Link>
</ItemDefinitionGroup>
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />

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@@ -57,6 +57,9 @@
<ClCompile Include="src\computervision\BackgroundRemover.cpp">
<Filter>Source Files</Filter>
</ClCompile>
<ClCompile Include="src\computervision\OpenPoseVideo.cpp">
<Filter>Source Files</Filter>
</ClCompile>
</ItemGroup>
<ItemGroup>
<ClInclude Include="src\entities\Camera.h">
@@ -104,6 +107,9 @@
<ClInclude Include="src\computervision\BackgroundRemover.h">
<Filter>Header Files</Filter>
</ClInclude>
<ClInclude Include="src\computervision\OpenPoseVideo.h">
<Filter>Header Files</Filter>
</ClInclude>
</ItemGroup>
<ItemGroup>
<Xml Include="res\haarcascade_frontalface_alt.xml" />