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a/tracking: Improve word choice/clarity
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2a54dcdb19
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276f24c9ad
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@ -209,7 +209,7 @@ ensure_buffers_are_allocated(class Calibration &c, int rows, int cols)
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}
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// If our rgb is not allocated but our gray already is, alloc our rgb
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// now. We will hit this path if we receive L8 format.
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// now. We will end up in this path if we receive L8 format.
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if (c.gray.cols == cols && c.gray.rows == rows) {
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refresh_gui_frame(c, rows, cols);
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return;
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@ -352,7 +352,7 @@ do_view_sb_checkers(class Calibration &c, struct ViewState &view, cv::Mat &gray,
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#ifdef SB_CHEESBOARD_CORNERS_MARKER_SUPPORTED
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if (c.board.marker) {
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// Only available in OpenCV 4.3 and above.
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// Only available in OpenCV 4.3 and newer.
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flags += cv::CALIB_CB_MARKER;
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}
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#endif
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@ -25,7 +25,7 @@ namespace xrt::auxiliary::tracking {
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/*!
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* @brief Essential calibration data wrapped for C++.
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*
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* Just like the cv::Mat that it holds, this object does not own all the memory
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* Like the cv::Mat that it holds, this object does not own all the memory
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* it points to!
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*/
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struct CameraCalibrationWrapper
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@ -67,7 +67,7 @@ struct CameraCalibrationWrapper
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/*!
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* @brief Essential stereo calibration data wrapped for C++.
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*
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* Just like the cv::Mat that it holds, this object does not own (all) the
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* Like the cv::Mat that it holds, this object does not own (all) the
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* memory it points to!
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*/
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struct StereoCameraCalibrationWrapper
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@ -198,8 +198,7 @@ struct StereoRectificationMaps
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/*!
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* @brief Provides cached, precomputed access to normalized image coordinates
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* from original, distorted ones.
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* @brief Provides cached, precomputed normalized image coordinates from original, distorted ones.
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*
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* Populates internal structures using cv::undistortPoints() and performs
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* subpixel sampling to interpolate for each query. Essentially, this class lets
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@ -346,7 +346,7 @@ t_calibration_gui_params_load_or_default(struct t_calibration_params *p)
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{
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t_calibration_gui_params_default(p);
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// Load defaults from file, if it exists. This overwrites the above
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// Load defaults from file, if it exists. This overwrites the preceding
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struct u_config_json config_json = {0};
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u_gui_state_open_file(&config_json);
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@ -100,7 +100,7 @@ euroc_recorder_flush(struct euroc_recorder *er)
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er->imu_queue.pop();
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}
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// Flush csv streams. Not necessary, just doing it to increase flush frequency
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// Flush csv streams. Not necessary, doing it only to increase flush frequency
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er->imu_csv->flush();
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er->left_cam_csv->flush();
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er->right_cam_csv->flush();
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@ -119,7 +119,7 @@ StereoRectificationMaps::StereoRectificationMaps(t_stereo_camera_calibration *da
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//! @todo for some reason this looks weird?
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// Alpha of 1.0 kinda works, not really.
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int flags = cv::CALIB_ZERO_DISPARITY;
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double balance = 0.0; // aka alpha.
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double balance = 0.0; // also known as alpha.
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double fov_scale = 1.0;
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cv::fisheye::stereoRectify(
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@ -217,8 +217,8 @@ t_stereo_camera_calibration_load_v1(FILE *calib_file, struct t_stereo_camera_cal
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t_stereo_camera_calibration_alloc(&data_ptr, 5); // Hardcoded to 5 distortion parameters.
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StereoCameraCalibrationWrapper wrapped(data_ptr);
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// Dummy matrix
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cv::Mat dummy;
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// Scratch-space temporary matrix
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cv::Mat scratch;
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// Read our calibration from this file
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// clang-format off
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@ -229,13 +229,13 @@ t_stereo_camera_calibration_load_v1(FILE *calib_file, struct t_stereo_camera_cal
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result = result && read_cv_mat(calib_file, &wrapped.view[1].distortion_mat, "r_distortion"); // 5 x 1
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result = result && read_cv_mat(calib_file, &wrapped.view[0].distortion_fisheye_mat, "l_distortion_fisheye"); // 4 x 1
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result = result && read_cv_mat(calib_file, &wrapped.view[1].distortion_fisheye_mat, "r_distortion_fisheye"); // 4 x 1
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result = result && read_cv_mat(calib_file, &dummy, "l_rotation"); // 3 x 3
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result = result && read_cv_mat(calib_file, &dummy, "r_rotation"); // 3 x 3
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result = result && read_cv_mat(calib_file, &dummy, "l_translation"); // empty
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result = result && read_cv_mat(calib_file, &dummy, "r_translation"); // empty
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result = result && read_cv_mat(calib_file, &dummy, "l_projection"); // 3 x 4
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result = result && read_cv_mat(calib_file, &dummy, "r_projection"); // 3 x 4
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result = result && read_cv_mat(calib_file, &dummy, "disparity_to_depth"); // 4 x 4
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result = result && read_cv_mat(calib_file, &scratch, "l_rotation"); // 3 x 3
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result = result && read_cv_mat(calib_file, &scratch, "r_rotation"); // 3 x 3
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result = result && read_cv_mat(calib_file, &scratch, "l_translation"); // empty
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result = result && read_cv_mat(calib_file, &scratch, "r_translation"); // empty
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result = result && read_cv_mat(calib_file, &scratch, "l_projection"); // 3 x 4
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result = result && read_cv_mat(calib_file, &scratch, "r_projection"); // 3 x 4
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result = result && read_cv_mat(calib_file, &scratch, "disparity_to_depth"); // 4 x 4
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result = result && read_cv_mat(calib_file, &mat_image_size, "mat_image_size");
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if (!result) {
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@ -447,8 +447,8 @@ t_stereo_camera_calibration_save_v1(FILE *calib_file, struct t_stereo_camera_cal
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CALIB_WARN("Deprecated function: %s", __func__);
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StereoCameraCalibrationWrapper wrapped(data);
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// Dummy matrix
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cv::Mat dummy;
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// Scratch-space temporary matrix
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cv::Mat scratch;
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write_cv_mat(calib_file, &wrapped.view[0].intrinsics_mat);
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write_cv_mat(calib_file, &wrapped.view[1].intrinsics_mat);
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@ -456,13 +456,13 @@ t_stereo_camera_calibration_save_v1(FILE *calib_file, struct t_stereo_camera_cal
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write_cv_mat(calib_file, &wrapped.view[1].distortion_mat);
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write_cv_mat(calib_file, &wrapped.view[0].distortion_fisheye_mat);
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write_cv_mat(calib_file, &wrapped.view[1].distortion_fisheye_mat);
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write_cv_mat(calib_file, &dummy); // view[0].rotation_mat
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write_cv_mat(calib_file, &dummy); // view[1].rotation_mat
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write_cv_mat(calib_file, &dummy); // l_translation
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write_cv_mat(calib_file, &dummy); // r_translation
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write_cv_mat(calib_file, &dummy); // view[0].projection_mat
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write_cv_mat(calib_file, &dummy); // view[1].projection_mat
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write_cv_mat(calib_file, &dummy); // disparity_to_depth_mat
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write_cv_mat(calib_file, &scratch); // view[0].rotation_mat
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write_cv_mat(calib_file, &scratch); // view[1].rotation_mat
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write_cv_mat(calib_file, &scratch); // l_translation
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write_cv_mat(calib_file, &scratch); // r_translation
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write_cv_mat(calib_file, &scratch); // view[0].projection_mat
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write_cv_mat(calib_file, &scratch); // view[1].projection_mat
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write_cv_mat(calib_file, &scratch); // disparity_to_depth_mat
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cv::Mat mat_image_size;
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mat_image_size.create(1, 2, CV_32F);
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@ -268,7 +268,7 @@ SimpleIMUFusion::handleAccel(Eigen::Vector3d const &accel, timepoint_ns timestam
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return false;
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}
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// Initially, just set it to totally trust gravity.
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// Initially, set it to totally trust gravity.
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started_ = true;
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quat_ = Eigen::Quaterniond::FromTwoVectors(accel.normalized(), Eigen::Vector3d::UnitY());
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accel_filter_.addSample(accel, timestamp);
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@ -173,8 +173,8 @@ do_view(TrackerPSMV &t, View &view, cv::Mat &grey, cv::Mat &rgb)
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* computed by your functor.
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*
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* Having this as a struct with a method, instead of a single "algorithm"-style
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* function, allows you to keep your complicated filtering logic in your own
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* loop, just calling in when you have a new candidate for "best".
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* function, lets you keep your complicated filtering logic in your own
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* loop, calling in when you have a new candidate for "best".
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*
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* @note Create by calling make_lowest_score_finder() with your
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* function/lambda that takes an element and returns the score, to deduce the
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@ -119,7 +119,7 @@ namespace {
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imu.handleGyro(map_vec3(sample->gyro_rad_secs).cast<double>(), timestamp_ns);
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imu.postCorrect();
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//! @todo use better measurements instead of the above "simple
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//! @todo use better measurements instead of the preceding "simple
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//! fusion"
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if (filter_time_ns != 0 && filter_time_ns != timestamp_ns) {
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float dt = time_ns_to_s(timestamp_ns - filter_time_ns);
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@ -197,7 +197,7 @@ typedef struct match_data
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{
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float angle = {}; // angle from reference vector
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float distance = {}; // distance from base of reference vector
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int32_t vertex_index = {}; // index aka tag
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int32_t vertex_index = {}; // index also known as tag
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Eigen::Vector4f position = {}; // 3d position of vertex
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blob_point_t src_blob = {}; // blob this vertex was derived from
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} match_data_t;
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@ -915,7 +915,7 @@ disambiguate(TrackerPSVR &t,
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uint32_t matched_vertex_indices[PSVR_NUM_LEDS];
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// we can early-out if we are 'close enough' to our last match model.
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// if we just hold the previous led configuration, this increases
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// if we hold the previous led configuration, this increases
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// performance and should cut down on jitter.
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if (t.last_optical_model > 0 && t.done_correction) {
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@ -1293,9 +1293,8 @@ sample_line(cv::Mat &src, const cv::Point2i &start, const cv::Point2i &end, int
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// cv is row, column
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uint8_t *val = src.ptr(curr_y, curr_x);
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// @todo: we are just counting pixels rather
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// than measuring length - bresenhams may introduce some
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// inaccuracy here.
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/// @todo: we are counting pixels rather than measuring length - bresenhams may introduce some
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/// inaccuracy here.
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if (*val > 128) {
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(*inside_length) += 1;
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}
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