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merge into: pi:f01_accum_vector
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pi:master pi:direct_process pi:f01_accum_vector
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pull from: pi:direct_process
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pi:master pi:direct_process pi:f01_accum_vector

4 Commits
f01_accum_ ... direct_pro

Author SHA1 Message Date
PodmogilnyjIvan
30a04c31b1 added sripts and compressed video 2022-01-21 05:32:56 -08:00
PodmogilnyjIvan
19bbf05108 added sripts and compressed video 2022-01-21 05:32:10 -08:00
PodmogilnyjIvan
b2a58ddcbf commiting chagnes 2022-01-21 05:30:16 -08:00
PodmogilnyjIvan
6e4c635177 init repo 2022-01-14 06:08:08 -08:00
9 changed files with 166 additions and 343 deletions
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9
CMakeLists.txt
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@@ -104,6 +104,14 @@ ${Boost_INCLUDE_DIR}
${Boost_INCLUDE_DIR}/stage/lib
)
add_library(processing SHARED
processing_functions.h
processing_functions.cpp
)
target_link_libraries(processing
${OpenCV_LIBRARIES}
)
##################### ORB_SLAM3 END
##################### GStreamer BEGIN
@@ -197,6 +205,7 @@ add_executable(gst_get_ndi_v6.7
gst_get_ndi_v6_7.cpp
)
target_link_libraries(gst_get_ndi_v6.7
processing
${GST_LIBRARIES} ${GST_APP_LIBRARIES} ${GST_AUDIO_LIBRARIES}
${OpenCV_LIBRARIES}
${GST_VIDEO_LIBRARIES}

BIN
OscReceiveTest.exe Normal file
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camera1-2020-10-14---19-38-42---093390448_scaled.mp4 Normal file
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492
gst_get_ndi_v6_7.cpp
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@@ -15,6 +15,9 @@
#include "osc/OscOutboundPacketStream.h"
#include "ip/UdpSocket.h"
#include "processing_functions.h"
#include <Converter.h>
#include "System.h"
using namespace std::chrono;
@@ -88,6 +91,62 @@ vector<float> find_mode(const vector<vector<float>>& vec_of_rot_axes) {
return vec_of_rot_axes[index];
}
void send_euler_to_receiver_osc(vector<float> euler_angles, int counter = -1) {
// Euler angles are recieved in Radians.
//euler_angles[0] *= 57.29;
//euler_angles[1] *= 57.29;
//euler_angles[2] *= 57.29;
std::string str;
char msg[40];
UdpTransmitSocket transmitSocket(IpEndpointName(ADDRESS, PORT));
char buffer[OUTPUT_BUFFER_SIZE];
osc::OutboundPacketStream p(buffer, OUTPUT_BUFFER_SIZE);
if (counter == -1) {
str = std::to_string(euler_angles[0]) + " " + std::to_string(euler_angles[1]) + " " + std::to_string(euler_angles[2]);
}
else {
str = std::to_string(euler_angles[0]) + " " + std::to_string(euler_angles[1]) + " " + std::to_string(euler_angles[2]) + " " + std::to_string(counter);
}
strcpy(msg, str.c_str());
p << osc::BeginBundleImmediate << osc::BeginMessage("/test3") << msg << osc::EndMessage << osc::EndBundle;
transmitSocket.Send(p.Data(), p.Size());
memset(msg, 0, 40);
};
cv::Mat axisVector2Rot(float theta, vector<float> v) {
cv::Mat Rot(3, 3, CV_32F, 0.0);
float c = cos(theta);
float s = sin(theta);
float t = 1 - c;
Rot.at<float>(0, 0) = t * v[0] * v[0] + c;
Rot.at<float>(0, 1) = t * v[0] * v[1] - v[2] * s;
Rot.at<float>(0, 2) = t * v[0] * v[2] + v[1] * c;
Rot.at<float>(1, 0) = t * v[0] * v[1] + v[2] * s;
Rot.at<float>(1, 1) = t * v[1] * v[1] + c;
Rot.at<float>(1, 2) = t * v[1] * v[2] - v[0] * s;
Rot.at<float>(2, 0) = t * v[0] * v[2] - v[1] * s;
Rot.at<float>(2, 1) = t * v[1] * v[2] + v[0] * s;
Rot.at<float>(2, 2) = t * v[2] * v[2] + c;
return Rot;
};
vector<float> axisVector2Euler(float theta, vector<float> axis) {
vector<float> euler_angles;
cv::Mat Rot = axisVector2Rot(theta, axis);
euler_angles = ORB_SLAM3::Converter::toEuler(Rot);
return euler_angles;
};
GstFlowReturn new_preroll(GstAppSink *appsink, gpointer data) {
g_print ("Got preroll!\n");
return GST_FLOW_OK;
@@ -530,386 +589,133 @@ int main (int argc, char *argv[]) {
std::printf("SLAM system initialized\n");
// Main loop
cv::Mat frame;
// This is the queue, which will accumulate the frames.
std::vector<cv::Mat> queue;
int cnt = 0;
const double time_step = 1.0;
double ts = 0;
char matrix_name[100];
vector<float> vec_of_deg, values;
vector<vector<float>> vec_of_rot_axis;
int ts = 0;
float time_step = 1.0;
char matrix_name[100] = "ORB_SLAM3 matrix";
// ---- INITIALIZE FOR THE PROCESSING OF AXIS LOSS AND FOR THE AXIS VECTOR INFORMATION ----
float skew1 = 0.0;
float DIFF_TO_CENTER = 0.0;
float curr_deg; // later I'll assign the exact value
vector<float> curr_vec;
vector<float> mode1, mode2;
int number_of_detected_frames = 0;
vector<vector<float>> accum, accum2;
int counter2, j = 0;
std::cout << "J is: " << j;
vector<float> mode_vec, mode_vec2; // 2 вектора, для аккумуляции слева и справа
// zero_flag - индикатор, что текущий элемент пошёл в обратную сторону (около нуля)
// mirror_flag - значения на данный момент должны отражаться
bool zero_flag, mirror_flag = false;
float mirror_point = 0.0;
//// FOR TESTING
//while (true) {
// cv::Mat frame;
// //char* buffer = nullptr;
// // EXTRACTING FRAME HERE.
// {
// std::lock_guard<std::mutex> guard(g_mutex);
// if (frameQueue.size() > 0) {
// frame = frameQueue.front();
// frameQueue.pop_front();
// std::cout << "we have a frame to process..." << std::endl;
// }
// }
// cv::Mat Tcw = SLAM.TrackMonocular(frame, ts, vector<ORB_SLAM3::IMU::Point>(), "");
// cv::Mat Rot(3, 3, CV_32F, 0.0);
// std::cout << Tcw << std::endl;
//}
//// FOR TESTING
// --------------------------------- SLAM SYSTEM VARIABLES ---------------------------------
/* Let's do two steps outside the loop.*/
for (int i = 1; i <= 2; i++) {
//if (use_gui) {
// cv::namedWindow("preview", 1);
//}
//else {
// // cv::namedWindow("no preview", 1);
//}
cv::Mat frame;
char* buffer = nullptr;
// EXTRACTING FRAME HERE.
{
std::lock_guard<std::mutex> guard(g_mutex);
if (frameQueue.size() > 0) {
frame = frameQueue.front();
frameQueue.pop_front();
std::cout << "we have a frame to process..." << std::endl;
}
}
cv::Mat Tcw = SLAM.TrackMonocular(frame, ts, vector<ORB_SLAM3::IMU::Point>(), "");
cv::Mat Rot(3, 3, CV_32F, 0.0);
std::cout << Tcw << std::endl;
if (!Tcw.empty()) {
sprintf(matrix_name, "matrix%d", cnt);
extract_rot(Rot, Tcw);
// cout << "Extracted rotation matrix is: " << Rot;
auto deg_vec = extract_deg(Rot);
// QUESTION 2.
curr_deg = -deg_vec.first * 57.29;
// TODO: Invert curr_vec too. (put the minus sign to each element). (You can define the - operator fot the vector).
curr_vec = deg_vec.second;
cout << "Successfully created curr_deg and curr_vec" << endl;
// LET'S DEFINE CONSTANT TO ZERO OUT THE START
if (i == 1) {
DIFF_TO_CENTER = 0.0;
}
vec_of_deg.push_back(curr_deg - DIFF_TO_CENTER);
vec_of_rot_axis.push_back(curr_vec);
values.push_back(curr_deg - DIFF_TO_CENTER);
cout << "Successfully pushed to the vectors " << endl;
//cout << curr_deg - DIFF_TO_CENTER << " " << curr_vec[0] << " " << curr_vec[1] << " " << curr_vec[2] << endl;
// SEND THE RESULT THROUGH OSC
//outfile << curr_deg - DIFF_TO_CENTER << " " << curr_vec[0] << " " << curr_vec[1] << " " << curr_vec[2] << endl;
cout << "Successfully written to the file" << endl;
j++;
}
cnt++;
ts += time_step;
ofstream frames_log;
frames_log.open("lost_log.txt");
if (!frames_log) {
cerr << "Error; File could not be opened";
exit(1);
}
bool lost_flag = 0;
float initial_skew = atof(argv[3]);
std::cout << initial_skew << std::endl;
vector<int> all_maps_id = { 0 };
vector<float> euler_prev = { 0.0, 0.0, 0.0 }, euler_now = { 0.0, 0.0, 0.0 }, skew_angle = { 0.0, 0.0, 0.0 };
int prevID, currID;
// Processing lost of the frames. Just substituting with the average velocity
vector<vector<float>> recent_values;
int recent_values_desired_length = 15;
vector<float> avg_velocity = { 0.0, 0.0, 0.0 };
while (true) {
cv::Mat frame;
char* buffer = nullptr;
{
std::lock_guard<std::mutex> guard(g_mutex);
if (frameQueue.size() > 0) {
frame = frameQueue.front();
frameQueue.pop_front();
std::cout << "we have a frame to process..." << std::endl;
if (!frame.empty()) {
cv::Mat Tcw = SLAM.TrackMonocular(frame, ts, vector<ORB_SLAM3::IMU::Point>(), "");
cv::Mat Rot(3, 3, CV_32F, 0.0);
std::cout << Tcw << std::endl;
if (!Tcw.empty()) {
sprintf(matrix_name, "matrix%d", cnt);
extract_rot(Rot, Tcw);
// cout << "Extracted rotation matrix is: " << Rot;
// Extract the degree and the vector from the rotation matrix.
auto deg_vec = extract_deg(Rot); // returns a degree and a vector of rotation.
float new_deg = -deg_vec.first * 57.29 - DIFF_TO_CENTER;
vector<float> new_vec = deg_vec.second;
cout << "Successfully created curr_deg and curr_vec" << endl;
vec_of_deg.push_back(new_deg);
vec_of_rot_axis.push_back(new_vec);
j++;
cout << "Pushed to the vectors. Line 207" << endl;
// ---- II PART OF THE PROCESSING ----
// TODO: II PART OF PROCESSING MIRRORED FIRST CHANGE, BUT NOT THE REST.
// Если текущий градус больше epsilon = 5, то zero_flag = false
// Can cause a problem, when accumulating values after turning on the zero_flag.
// TODO: accum2 is full when the zero_flag enables, which is bad. work on that.
if (zero_flag) {
if ((vec_of_deg[j - 1] < -5 || vec_of_deg[j - 1] > 5) && accum2.size() == 5) {
zero_flag = false;
}
}
if (zero_flag) { cout << "Zero flag is: true" << endl; }
else { cout << "Zero flag is: false" << endl; }
// Если нет zero_flag, а в accum2 что-то есть, то опустошим его.
if (!(zero_flag) && !accum2.empty()) { accum2 = {}; }
// Сохраняем последние 5 значений векторов
if (!zero_flag) {
cout << "Line 211 ok..." << endl;
if (accum.size() == 5) {
cout << "Accum size = 5." << endl;
accum.erase(accum.begin());
cout << "Line 215 ok..." << endl;
accum.push_back(vec_of_rot_axis[j - 1]);
cout << "Line 217 ok..." << endl;
}
else {
cout << "Accum size != 5." << endl;
cout << "j is: " << j << " len of vec_of_rot_axis is: " << vec_of_rot_axis.size() << endl;
accum.push_back(vec_of_rot_axis[j - 1]);
cout << "Line 223 ok..." << endl;
}
}
// Найдем элемент, который начал расти, а не убывать около нуля
if (!zero_flag) {
if (vec_of_deg[j - 1] > -5 && vec_of_deg[j - 1] < 5) {
// Если нынешний элемент уже не меньше предыдущего, а предыдущая разность тоже около нуля, при этом абсолютная разность между градусами больше, чем 0.01
if (abs(vec_of_deg[j - 1]) >= abs(vec_of_deg[j - 2]) && (abs(vec_of_deg[j - 2] - vec_of_deg[j - 3]) < 10) && (abs(vec_of_deg[j - 1] - vec_of_deg[j - 2]) > .3)) {
zero_flag = true;
cout << "Line 233 and 232 ok..." << endl;
}
// else {
// zero_flag = false;
// }
}
}
cout << "Accum size is: " << accum.size() << endl;
cout << "Accum2 size is: " << accum2.size() << endl;
if (zero_flag) {
// Если набрали 5 элементов
cout << "Entered in zero_flag if..." << endl;
cout << "Accum2.size() is: " << accum2.size() << endl;
if (accum2.size() == 5 && accum.size() == 5) {
// Имеем массивы векторов. Найдём их моды и сравним.
cout << "Accum size: " << accum.size() << endl;
cout << "Accum2 size: " << accum2.size() << endl;
mode1 = find_mode(accum);
mode2 = find_mode(accum2);
cout << "Line 246 and 245 ok..." << endl;
bool compar_res = mode1 == mode2;
cout << "Line 250 ok..." << endl;
// Если градусы около нуля, а значения векторов поменялись, то отражаем
// Input data leave it as it as, but the output data has to be processed.
if (!(compar_res)) {
// Если мы нашли ту самую точку, то отразим точки, которые мы накопили, и прибавим к ним точку
// отражения, а также изменим точку отражения, и изменим флаг mirror_flag = True
cout << "Нашли ту самую точку!" << endl;
// mirror_point += values[j-6];
// cout << "Mirror point after: " << mirror_point << endl;
cout << "Line 255 ok..." << endl;
if (mirror_flag) {
mirror_flag = false;
}
else {
mirror_flag = true;
}
// for (int i = j-6; i < j-1; i++){
// values[i] = -values[i] + mirror_point;
// }
// cout << "Lines 263 and 264 are ok" << "j is: " << j << endl;
}
accum2 = {};
cout << "Making zero flag false..." << endl;
zero_flag = false;
}
else {
if (accum2.size() < 5) {
accum2.push_back(vec_of_rot_axis[j - 1]);
cout << "Line 274 ok..." << endl;
}
}
}
cv::Mat frame;
char* buffer = nullptr;
// Сохраняем значения...
if (mirror_flag) {
; cout << "Mirror flag is on;" << " vec_of_deg size: " << vec_of_deg.size() << "; j is: " << j << endl;
values.push_back(-vec_of_deg[j - 1] + mirror_point);
// cout << "Line 281 ok..." << endl;
}
else {
cout << "Mirror flag is off" << " vec_of_deg size: " << vec_of_deg.size() << "; j is: " << j << endl;
values.push_back(vec_of_deg[j - 1]);
// cout << "Line 284 ok..." << endl;
}
cout << "Processed value is: " << values[j - 1] << endl; cout << " " << endl;
// EXTRACTING FRAME HERE.
{
std::lock_guard<std::mutex> guard(g_mutex);
if (frameQueue.size() > 0) {
// --------- I PART OF THE PROCESSING ---------
// values[j-1] += skew1;
// float diff = (values[j-2] - values[j-1]);
// cout << "New deg is: " << new_deg << "Diff is: " << diff << endl;
//
//
// // Если разница больше 10, то скорее всего произошла потеря.
// if (abs(diff) > 10) {
// cout << "Diff is more than 10; Correcting... " << endl;
// values[j-1] += diff;
// skew1 += diff;
// }
// --------- I PART OF THE PROCESSING ---------
frame = frameQueue.front();
frameQueue.pop_front();
//std::cout << "we have a frame to process..." << std::endl;
}
}
// Запись в файл.
//outfile << values[j - 1] << " " << new_vec[0] << " " << new_vec[1] << " " << new_vec[2] << " " << cnt << endl;
// cout << "Successfully written to the file" << endl;
if (!frame.empty()) {
cvtColor(frame, frame, cv::COLOR_RGBA2RGB);
cv::Mat Tcw = SLAM.TrackMonocular(frame, ts, vector<ORB_SLAM3::IMU::Point>(), "");
cv::Mat Rot(3, 3, CV_32F, 0.0);
// Выполнить отправку в протокол OSC.
//cv::Vec3d res(1., 1., 1.);
//std::cout << "defined Vector is: " << res[0] << res[1] << res[2] << std::endl;
std::cout << "message received!" << std::endl;
if (!Tcw.empty()) {
lost_flag = 0;
// UDP Variables
std::string str;
char msg[40];
UdpTransmitSocket transmitSocket(IpEndpointName(ADDRESS, PORT));
sprintf(matrix_name, "matrix%d", cnt);
//file << matrix_name << Tcw;
char buffer[OUTPUT_BUFFER_SIZE];
osc::OutboundPacketStream p(buffer, OUTPUT_BUFFER_SIZE);
str = std::to_string(values[j-1]) + " " + std::to_string(new_vec[0]) + " " + std::to_string(new_vec[1]) + " " + std::to_string(new_vec[2]) + " " + std::to_string(cnt);
strcpy(msg, str.c_str());
cv::Mat Rot(3, 3, CV_32F, 1);
extract_rot(Rot, Tcw);
std::cout << "Message filled" << std::endl;
auto euler = ORB_SLAM3::Converter::toEuler(Rot);
euler = euler * 57.29f;
euler_now = -euler;
cout << euler_now[0] << " " << euler_now[1] << " " << euler_now[2] << " " << endl;
p << osc::BeginBundleImmediate
<< osc::BeginMessage("/test3") << msg << osc::EndMessage
/* << osc::BeginMessage("/test2")
<< true << 24 << (float)10.8 << "world" << osc::EndMessage*/
<< osc::EndBundle;
currID = SLAM.GetCurID();
std::cout << "Bundle filled" << std::endl;
process_euler(euler_prev, euler_now, skew_angle, all_maps_id, prevID, currID, avg_velocity);
fill_recent_values(euler_now, recent_values, recent_values_desired_length);
transmitSocket.Send(p.Data(), p.Size());
std::cout << "Message sent!" << std::endl;
frames_log << euler_now[0] << " " << euler_now[1] + initial_skew << " " << euler_now[2] << " " << cnt \
<< " " << SLAM.GetCurID() << " " << lost_flag << endl;
cout << euler_now[0] << " " << euler_now[1] + initial_skew << " " << euler_now[2] << " " << cnt << endl;
cout << "Map ID right now: " << SLAM.GetCurID() << endl;
cout << endl;
memset(msg, 0, 40);
send_euler_to_receiver_osc(euler_now + initial_skew, cnt);
}
else {
cout << "Tcw is empty. Processing lost values." << endl;
lost_flag = 1;
//std::cout << "Memory freed" << std::endl;
// process_lost_euler(euler_prev, euler_now, recent_values_desired_length, recent_values, avg_velocity);
euler_now = { 0.0, 0.0, 0.0 };
// frames_log << euler_now[0] << " " << euler_now[1] - initial_skew << " " << euler_now[2] << " " << cnt << " " \
// << SLAM.GetCurrID() << " " << lost_flag << endl;
// ---- II PART OF THE PROCESSING ----
frames_log << euler_now[0] << " " << euler_now[1] << " " << euler_now[2] << " " << cnt << " " \
<< SLAM.GetCurID() << " " << lost_flag << endl;
// cout << euler_now[0] << " " << euler_now[1] - initial_skew << " " << euler_now[2] << " " << cnt << endl;
cout << euler_now[0] << " " << euler_now[1] << " " << euler_now[2] << " " << cnt << endl;
curr_deg = new_deg;
curr_vec = new_vec;
number_of_detected_frames += 1;
}
else {
// UDP Variables
std::string str;
char msg[40];
UdpTransmitSocket transmitSocket(IpEndpointName(ADDRESS, PORT));
char buffer[OUTPUT_BUFFER_SIZE];
osc::OutboundPacketStream p(buffer, OUTPUT_BUFFER_SIZE);
str = "0 0 0 0" + std::to_string(cnt);
strcpy(msg, str.c_str());
p << osc::BeginBundleImmediate
<< osc::BeginMessage("/test3") << msg << osc::EndMessage
/* << osc::BeginMessage("/test2")
<< true << 24 << (float)10.8 << "world" << osc::EndMessage*/
<< osc::EndBundle;
transmitSocket.Send(p.Data(), p.Size());
std::cout << "Message sent!" << std::endl;
memset(msg, 0, 40);
}
cnt++;
ts += time_step;
}
}
else {
//std::cout << "Don't have any frames yet ..." << std::endl;
//std::cout << "";
}
}
send_euler_to_receiver_osc(euler_now + initial_skew, cnt);
}
cnt++;
ts += time_step;
}
delete[] buffer;
if (use_opencv_preview) {
if (!frame.empty()) {
cv::namedWindow("preview", 1);
cv::Mat edges;
cvtColor(frame, edges, cv::COLOR_BGR2BGRA);
cv::imshow("preview", frame);
}
cv::waitKey(30);
//cv::destroyAllWindows();
}
delete[] buffer;
}
std::printf("End of video\n");
printf("End of video\n");
// Stop all threads
SLAM.Shutdown();
std::printf("Done.\n");
std::cout << "Number of detected frames: " << number_of_detected_frames << std::endl;
};
printf("Done.\n");
};
char** argv_orb;
argv_orb = new char* [3];
argv_orb = new char* [4];
argv_orb[0] = new char[300];
argv_orb[1] = new char[300];
argv_orb[2] = new char[300];
argv_orb[3] = new char[300];
std::strcpy(argv_orb[0], argv[0]);
std::strcpy(argv_orb[1], argv[4]);
std::strcpy(argv_orb[2], argv[5]);
std::strcpy(argv_orb[3], argv[7]);
std::thread t1(lambda_1, argv_orb, pangolin_window);

0
run_capture_ndi.cmd → scripts/run_capture_ndi.cmd
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0
run_gst_loopthrough_capture.cmd → scripts/run_gst_loopthrough_capture.cmd
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scripts/run_gst_loopthrough_capture_v6_7.cmd Normal file
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@@ -0,0 +1,8 @@
rem set "PATH=%PATH%;C:\AnacondaGst_x64\Library\bin;C:\Program Files\NDI\NDI 5 SDK\Bin\x64"
call set-env.bat
set "STREAM_NAME=my_ndi_source"
FOR /F "tokens=* USEBACKQ" %%F IN (`hostname`) DO (SET THIS_HOST=%%F)
ECHO %THIS_HOST%
ECHO "%THIS_HOST% (%STREAM_NAME%)"
gst_get_ndi_v6.7.exe --ndi-name="%THIS_HOST% (%STREAM_NAME%)" --opencv-preview=1 --gst-preview=1 C:\Users\ivan\Source\Repos\ORB_SLAM3\Vocabulary\ORBvoc.txt C:\Users\ivan\Source\Repos\ORB-SLAM3forWindows\Examples\Monocular\calib_data\calib1.yaml --orb_slam_window=0 -54.1
rem cmd.exe

0
run_source.cmd → scripts/run_source.cmd
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0
set-env.bat → scripts/set-env.bat
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