removed visu as result works so to not clutter the output
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6f16f1b566
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@ -384,8 +384,10 @@ bool Feature::estimate_FrameIrradiance(
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double b_A = 0;
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double a_l =frameExposureTime_ms;
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double b_l = 0;
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printf("frames: %lld, %lld\n", anchor->first, cam_state_id);
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printf("exposure: %f, %f\n", a_A, a_l);
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//printf("frames: %lld, %lld\n", anchor->first, cam_state_id);
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//printf("exposure: %f, %f\n", a_A, a_l);
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for (double anchorPixel : anchorPatch)
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{
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float irradiance = ((anchorPixel - b_A) / a_A ) * a_l - b_l;
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@ -400,26 +402,24 @@ bool Feature::FrameIrradiance(
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CameraCalibration& cam0,
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std::vector<float>& anchorPatch_measurement) const
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{
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// project every point in anchorPatch_3d.
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// int count = 0;
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cv::Mat current_image = cam0.moving_window.find(cam_state_id)->second.image;
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// visu
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/*cv::Mat current_image = cam0.moving_window.find(cam_state_id)->second.image;
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cv::Mat dottedFrame(current_image.size(), CV_8UC3);
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cv::cvtColor(current_image, dottedFrame, CV_GRAY2RGB);
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*/
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// project every point in anchorPatch_3d.
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for (auto point : anchorPatch_3d)
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{
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// testing
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//if(cam_state_id == observations.begin()->first)
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//if(count == 4)
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//printf("\n\ncenter:\n");
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cv::Point2f p_in_c0 = projectPositionToCamera(cam_state, cam_state_id, cam0, point);
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//visualization of feature
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cv::Point xs(p_in_c0.x, p_in_c0.y);
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// visu
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/*cv::Point xs(p_in_c0.x, p_in_c0.y);
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cv::Point ys(p_in_c0.x, p_in_c0.y);
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cv::rectangle(dottedFrame, xs, ys, cv::Scalar(0,255,0));
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*/
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float irradiance = PixelIrradiance(p_in_c0, cam0.moving_window.find(cam_state_id)->second.image);
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anchorPatch_measurement.push_back(irradiance);
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@ -432,11 +432,11 @@ bool Feature::FrameIrradiance(
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//visu
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//cv::resize(dottedFrame, dottedFrame, cv::Size(dottedFrame.cols*0.2, dottedFrame.rows*0.2));
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if(cam0.featureVisu.empty())
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/*if(cam0.featureVisu.empty())
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cam0.featureVisu = dottedFrame.clone();
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else
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cv::hconcat(cam0.featureVisu, dottedFrame, cam0.featureVisu);
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*/
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}
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@ -547,10 +547,7 @@ bool Feature::initializeAnchor(
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for(auto point : vec)
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{
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if(point.x - n < 0 || point.x + n >= cam.resolution(0) || point.y - n < 0 || point.y + n >= cam.resolution(1))
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{
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printf("no good\n");
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return false;
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}
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}
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for(auto point : vec)
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anchorPatch.push_back((double)anchorImage.at<uint8_t>((int)point.x,(int)point.y));
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@ -977,7 +977,8 @@ void MsckfVio::PhotometricMeasurementJacobian(
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r = z - Vector4d(p_c0(0)/p_c0(2), p_c0(1)/p_c0(2),
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p_c1(0)/p_c1(2), p_c1(1)/p_c1(2));
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printf("-----\n");
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// visu
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//printf("-----\n");
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//estimate photometric measurement
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std::vector<float> estimate_photo_z;
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@ -988,9 +989,9 @@ void MsckfVio::PhotometricMeasurementJacobian(
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for(int i = 0; i < photo_z.size(); i++)
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photo_r.push_back(photo_z[i] - estimate_photo_z[i]);
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for(int i = 0; i < photo_z.size(); i++)
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printf("%.4f = %.4f - %.4f\n",photo_r[i], photo_z[i], estimate_photo_z[i]);
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// visu
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//for(int i = 0; i < photo_z.size(); i++)
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// printf("%.4f = %.4f - %.4f\n",photo_r[i], photo_z[i], estimate_photo_z[i]);
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photo_z.clear();
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return;
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@ -1022,9 +1023,12 @@ void MsckfVio::PhotometricFeatureJacobian(
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VectorXd r_j = VectorXd::Zero(jacobian_row_size);
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int stack_cntr = 0;
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printf("_____FEATURE:_____\n");
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// visu
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/*
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printf("_____FEATURE:_____\n");
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cam0.featureVisu.release();
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*/
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for (const auto& cam_id : valid_cam_state_ids) {
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Matrix<double, 4, 6> H_xi = Matrix<double, 4, 6>::Zero();
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@ -1042,6 +1046,8 @@ void MsckfVio::PhotometricFeatureJacobian(
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r_j.segment<4>(stack_cntr) = r_i;
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stack_cntr += 4;
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}
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// visu
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/*
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if(!cam0.featureVisu.empty() && cam0.featureVisu.size().width > 3000)
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imshow("feature", cam0.featureVisu);
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cvWaitKey(1);
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@ -1053,6 +1059,8 @@ void MsckfVio::PhotometricFeatureJacobian(
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imwrite(ss.str(), cam0.featureVisu);
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image_save_time = ros::Time::now();
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}
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*/
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// Project the residual and Jacobians onto the nullspace
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// of H_fj.
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JacobiSVD<MatrixXd> svd_helper(H_fj, ComputeFullU | ComputeThinV);
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