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419 lines (353 loc) · 18.7 KB
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// Sakshi B.
#include "task3.h"
#include "task2.h"
#include "task1.h"
#include "config.h"
#include <iostream>
#include <sstream>
#include <iomanip>
#include <cmath>
// ── calibrateFromImages ───────────────────────────────────────────────────────
double calibrateFromImages(int argc, char* argv[],
cv::Mat& cameraMatrix,
cv::Mat& distCoeffs,
const std::string& outputFile)
{
// Types exactly as required by the assignment
std::vector<cv::Vec3f> point_set; // one frame's 3-D points
std::vector<std::vector<cv::Vec3f>> point_list; // accumulated across frames
std::vector<std::vector<cv::Point2f>> corner_list; // accumulated 2-D corners
// Pre-build point_set once — same for every frame
point_set = buildPointSet();
cv::Size imageSize;
// ── Step 1: load any calib_N.png files already saved by Task 2 ───────────
// Scan for calib_1.png, calib_2.png, ... until one is missing
{
int idx = 1;
while (true) {
std::string fname = "calib_" + std::to_string(idx) + ".png";
cv::Mat img = cv::imread(fname);
if (img.empty()) break; // no more files
imageSize = img.size();
cv::Mat grayImg;
cv::cvtColor(img, grayImg, cv::COLOR_BGR2GRAY);
std::vector<cv::Point2f> corners;
if (detectCorners(grayImg, corners)) {
corner_list.push_back(corners);
point_list.push_back(point_set);
std::cout << "[Task3] Loaded " << fname << " ("
<< corners.size() << " corners)\n";
} else {
std::cout << "[Task3] WARNING: no corners found in " << fname << ", skipping.\n";
}
++idx;
}
if (!corner_list.empty())
std::cout << "[Task3] Pre-loaded " << corner_list.size()
<< " frame(s) from disk.\n\n";
}
// ── Step 2: open live camera so user can add more frames or calibrate ─────
cv::VideoCapture cap = openVideoSource(argc, argv);
if (!cap.isOpened()) {
std::cerr << "[Task3][ERROR] Cannot open video source.\n";
return -1.0;
}
std::cout << "=== Task 3: Camera Calibration ===\n"
<< " Pre-loaded: " << corner_list.size() << " frame(s) from calib_N.png\n"
<< " 's' — save another frame from live camera\n"
<< " 'c' — calibrate now (need >= 5 frames total)\n"
<< " 'q'/ESC — quit without calibrating\n\n";
cv::Mat frame, gray;
cv::Mat lastGoodFrame;
std::vector<cv::Point2f> lastCorners;
bool haveGoodCorners = false;
int savedCount = static_cast<int>(corner_list.size()); // continue numbering from Task 2
while (true) {
cap >> frame;
if (frame.empty()) { std::cout << "[Task3] End of stream.\n"; break; }
imageSize = frame.size();
cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY);
std::vector<cv::Point2f> corners;
bool found = detectCorners(gray, corners);
if (found) {
lastCorners = corners;
lastGoodFrame = frame.clone();
haveGoodCorners = true;
}
cv::Mat display = frame.clone();
drawCornersOverlay(display, found ? corners : lastCorners,
found || haveGoodCorners);
std::string info = "Saved: " + std::to_string(savedCount) +
" 's'=save 'c'=calibrate";
cv::putText(display, info, cv::Point(10, 60),
cv::FONT_HERSHEY_SIMPLEX, 0.65,
cv::Scalar(255, 200, 0), 2);
if (!found && haveGoodCorners)
cv::putText(display, "(showing cached corners)",
cv::Point(10, 90),
cv::FONT_HERSHEY_SIMPLEX, 0.55,
cv::Scalar(180, 180, 0), 1);
cv::imshow("Task 3 - Calibration", display);
int key = cv::waitKey(1) & 0xFF;
// ── 's': save this frame ──────────────────────────────────────────────
if (key == 's') {
if (!haveGoodCorners) {
std::cout << "[Task3] No corners detected yet.\n";
} else {
corner_list.push_back(lastCorners);
point_list.push_back(point_set);
++savedCount;
std::string filename = "calib_" + std::to_string(savedCount) + ".png";
cv::Mat annotated = lastGoodFrame.clone();
cv::drawChessboardCorners(annotated, BOARD_SIZE, lastCorners, true);
cv::imwrite(filename, annotated);
std::cout << "[Task3] Saved frame " << savedCount
<< " → " << filename << "\n";
}
}
// ── 'c': calibrate ────────────────────────────────────────────────────
if (key == 'c') {
if (corner_list.size() < 5) {
std::cout << "[Task3] Need at least 5 frames (have "
<< corner_list.size() << ").\n";
} else {
break; // proceed to calibration below
}
}
if (key == 'q' || key == 27) {
std::cout << "[Task3] Quit without calibrating.\n";
cap.release();
cv::destroyAllWindows();
return -1.0;
}
}
cap.release();
cv::destroyAllWindows();
if (corner_list.size() < 5) {
std::cerr << "[Task3] Not enough frames to calibrate.\n";
return -1.0;
}
// ── Run cv::calibrateCamera() ─────────────────────────────────────────────
// cv::calibrateCamera needs vector<vector<Point3f>>; convert from Vec3f
std::vector<std::vector<cv::Point3f>> objectPoints;
objectPoints.reserve(point_list.size());
for (const auto& ps : point_list) {
std::vector<cv::Point3f> pts;
pts.reserve(ps.size());
for (const auto& v : ps)
pts.emplace_back(v[0], v[1], v[2]);
objectPoints.push_back(std::move(pts));
}
// ── BEFORE: initial estimates ─────────────────────────────────────────────
// OpenCV's canonical guess: fx=fy=max(W,H), cx=W/2, cy=H/2, distortion=0
cv::Mat initMatrix = cv::Mat::eye(3, 3, CV_64F);
initMatrix.at<double>(0,0) = std::max(imageSize.width, imageSize.height); // fx
initMatrix.at<double>(1,1) = std::max(imageSize.width, imageSize.height); // fy
initMatrix.at<double>(0,2) = imageSize.width / 2.0; // cx (u0)
initMatrix.at<double>(1,2) = imageSize.height / 2.0; // cy (v0)
cv::Mat initDist = cv::Mat::zeros(1, 5, CV_64F); // [k1 k2 p1 p2 k3] = all 0
std::cout << "\n[Task3] ══════════════════════════════════════════════\n"
<< "[Task3] BEFORE CALIBRATION (initial estimates)\n"
<< "[Task3] ══════════════════════════════════════════════\n"
<< " Image size : " << imageSize.width << " x " << imageSize.height << "\n"
<< " Camera matrix K (initial):\n"
<< " fx = " << initMatrix.at<double>(0,0)
<< " fy = " << initMatrix.at<double>(1,1)
<< " (fx == fy by assumption)\n"
<< " u0 = " << initMatrix.at<double>(0,2)
<< " (= W/2 = " << imageSize.width / 2.0 << ")\n"
<< " v0 = " << initMatrix.at<double>(1,2)
<< " (= H/2 = " << imageSize.height / 2.0 << ")\n"
<< initMatrix << "\n"
<< " Distortion coefficients [k1 k2 p1 p2 k3] (initial):\n"
<< " " << initDist << " (all zeros — no prior estimate)\n"
<< "[Task3] ══════════════════════════════════════════════\n\n";
// ── Run calibration ───────────────────────────────────────────────────────
std::vector<cv::Mat> rvecs, tvecs;
double rms = cv::calibrateCamera(objectPoints, corner_list, imageSize,
cameraMatrix, distCoeffs,
rvecs, tvecs);
// ── AFTER: calibrated values ──────────────────────────────────────────────
double fx = cameraMatrix.at<double>(0,0);
double fy = cameraMatrix.at<double>(1,1);
double u0 = cameraMatrix.at<double>(0,2);
double v0 = cameraMatrix.at<double>(1,2);
double fxfyDiff = std::abs(fx - fy);
double u0expected = imageSize.width / 2.0;
double v0expected = imageSize.height / 2.0;
std::cout << "[Task3] ══════════════════════════════════════════════\n"
<< "[Task3] AFTER CALIBRATION (calibrated results)\n"
<< "[Task3] ══════════════════════════════════════════════\n"
<< " Frames used : " << corner_list.size() << "\n"
<< " Image size : " << imageSize.width << " x " << imageSize.height << "\n"
<< "\n"
<< " Camera matrix K (calibrated):\n"
<< " fx = " << std::fixed << std::setprecision(4) << fx << "\n"
<< " fy = " << fy
<< " |fx−fy| = " << fxfyDiff
<< (fxfyDiff < 2.0 ? " ✓ (essentially equal)" : " ✗ (differ — check board)") << "\n"
<< " u0 = " << u0
<< " (initial estimate W/2 = " << u0expected << ")"
<< " diff = " << std::abs(u0 - u0expected)
<< (std::abs(u0 - u0expected) < imageSize.width * 0.05
? " ✓" : " ✗ far from center") << "\n"
<< " v0 = " << v0
<< " (initial estimate H/2 = " << v0expected << ")"
<< " diff = " << std::abs(v0 - v0expected)
<< (std::abs(v0 - v0expected) < imageSize.height * 0.05
? " ✓" : " ✗ far from center") << "\n"
<< "\n" << cameraMatrix << "\n"
<< "\n Distortion coefficients [k1 k2 p1 p2 k3] (calibrated):\n"
<< " " << distCoeffs << "\n"
<< "\n RMS reprojection error : " << std::setprecision(6) << rms << " pixels"
<< (rms < 1.0 ? " ✓ excellent (< 1 px)"
: (rms < 3.0 ? " ~ acceptable (1–3 px, typical for phone/large sensor)"
: " ✗ high (> 3 px — consider recalibrating)")) << "\n"
<< "[Task3] ══════════════════════════════════════════════\n\n";
// ── Save per-image rvec/tvec alongside calibration images ─────────────────
for (int i = 0; i < static_cast<int>(rvecs.size()); ++i) {
std::string fn = "calib_pose_" + std::to_string(i+1) + ".yml";
cv::FileStorage ps(fn, cv::FileStorage::WRITE);
ps << "rvec" << rvecs[i];
ps << "tvec" << tvecs[i];
ps.release();
}
std::cout << " Per-image poses saved : calib_pose_1.yml … calib_pose_"
<< rvecs.size() << ".yml\n";
// ── Save calibration to YAML ──────────────────────────────────────────────
cv::FileStorage fs(outputFile, cv::FileStorage::WRITE);
fs << "camera_matrix" << cameraMatrix;
fs << "dist_coeffs" << distCoeffs;
fs << "rms_error" << rms;
fs << "image_width" << imageSize.width;
fs << "image_height" << imageSize.height;
fs.release();
std::cout << " Calibration saved to : " << outputFile << "\n"
<< "[Task3] ─────────────────────────────────────────────\n\n";
return rms;
}
// ── loadCalibration ───────────────────────────────────────────────────────────
bool loadCalibration(const std::string& filename,
cv::Mat& cameraMatrix,
cv::Mat& distCoeffs)
{
cv::FileStorage fs(filename, cv::FileStorage::READ);
if (!fs.isOpened()) {
std::cerr << "[Task3][ERROR] Cannot open calibration file: "
<< filename << "\n";
return false;
}
fs["camera_matrix"] >> cameraMatrix;
fs["dist_coeffs"] >> distCoeffs;
fs.release();
std::cout << "[Task3] Loaded calibration from " << filename << "\n";
return true;
}
// ── estimatePose ──────────────────────────────────────────────────────────────
bool estimatePose(const std::vector<cv::Point2f>& corners,
const cv::Mat& cameraMatrix,
const cv::Mat& distCoeffs,
cv::Mat& rvec,
cv::Mat& tvec)
{
// Convert Vec3f point_set to Point3f for solvePnP
std::vector<cv::Vec3f> ps = buildPointSet();
std::vector<cv::Point3f> objectPoints;
objectPoints.reserve(ps.size());
for (const auto& v : ps)
objectPoints.emplace_back(v[0], v[1], v[2]);
return cv::solvePnP(objectPoints, corners,
cameraMatrix, distCoeffs,
rvec, tvec);
}
// ── drawAxes ──────────────────────────────────────────────────────────────────
void drawAxes(cv::Mat& frame,
const cv::Mat& cameraMatrix,
const cv::Mat& distCoeffs,
const cv::Mat& rvec,
const cv::Mat& tvec,
float axisLength)
{
std::vector<cv::Point3f> axisPoints = {
{0.f, 0.f, 0.f}, // origin
{axisLength, 0.f, 0.f}, // +X red
{0.f, axisLength, 0.f}, // +Y green
{0.f, 0.f, -axisLength} // +Z blue (out of board)
};
std::vector<cv::Point2f> projected;
cv::projectPoints(axisPoints, rvec, tvec,
cameraMatrix, distCoeffs, projected);
cv::arrowedLine(frame, projected[0], projected[1], cv::Scalar(0, 0, 255), 3);
cv::arrowedLine(frame, projected[0], projected[2], cv::Scalar(0, 255, 0), 3);
cv::arrowedLine(frame, projected[0], projected[3], cv::Scalar(255, 0, 0), 3);
cv::putText(frame, "X", projected[1], cv::FONT_HERSHEY_SIMPLEX, 0.6, cv::Scalar(0, 0,255), 2);
cv::putText(frame, "Y", projected[2], cv::FONT_HERSHEY_SIMPLEX, 0.6, cv::Scalar(0,255, 0), 2);
cv::putText(frame, "Z", projected[3], cv::FONT_HERSHEY_SIMPLEX, 0.6, cv::Scalar(255,0, 0), 2);
}
// ── runTask3 ──────────────────────────────────────────────────────────────────
void runTask3(int argc, char* argv[])
{
// Step 1: calibrate
cv::Mat cameraMatrix, distCoeffs;
double rms = calibrateFromImages(argc, argv, cameraMatrix, distCoeffs);
if (rms < 0) return;
// Step 2: live pose estimation
cv::VideoCapture cap = openVideoSource(argc, argv);
if (!cap.isOpened()) {
std::cerr << "[Task3][ERROR] Cannot open video source.\n";
return;
}
std::cout << "=== Task 3: Pose Estimation (live) ===\n"
<< "Press 'q'/ESC to quit\n\n";
cv::Mat frame, gray;
int frameCount = 0;
while (true) {
cap >> frame;
if (frame.empty()) break;
++frameCount;
cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY);
std::vector<cv::Point2f> corners;
bool found = detectCorners(gray, corners);
if (found) {
cv::Mat rvec, tvec;
if (estimatePose(corners, cameraMatrix, distCoeffs, rvec, tvec)) {
// Draw axes on the frame
drawAxes(frame, cameraMatrix, distCoeffs, rvec, tvec);
// Format rotation and translation as readable strings
// rvec is a Rodrigues rotation vector (angle-axis, radians)
// tvec is translation in board units (squares)
auto fmt3 = [](const cv::Mat& v) {
std::ostringstream ss;
ss << std::fixed << std::setprecision(3)
<< "(" << v.at<double>(0)
<< ", " << v.at<double>(1)
<< ", " << v.at<double>(2) << ")";
return ss.str();
};
std::string rStr = "R: " + fmt3(rvec);
std::string tStr = "T: " + fmt3(tvec);
// On-screen overlay
cv::putText(frame, rStr, cv::Point(10, 30),
cv::FONT_HERSHEY_SIMPLEX, 0.6,
cv::Scalar(0, 255, 255), 2);
cv::putText(frame, tStr, cv::Point(10, 58),
cv::FONT_HERSHEY_SIMPLEX, 0.6,
cv::Scalar(0, 200, 255), 2);
// Terminal output every 15 frames so it stays readable
if (frameCount % 15 == 0) {
std::cout << "[Task3] R=" << fmt3(rvec)
<< " T=" << fmt3(tvec) << "\n";
}
}
}
drawStatusBar(frame,
"Task 3 | Pose: " +
std::string(found ? "ESTIMATED" : "SEARCHING..."),
found);
cv::imshow("Task 3 - Pose Estimation", frame);
int key = cv::waitKey(1) & 0xFF;
if (key == 'q' || key == 27) break;
}
cap.release();
cv::destroyAllWindows();
}