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monado/src/xrt/auxiliary/tracking/t_file.cpp
Jakob Bornecrantz 231d39185e t/file: Remove hacky file handling functions
2020-04-10 12:29:21 +00:00

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// Copyright 2019-2020, Collabora, Ltd.
// SPDX-License-Identifier: BSL-1.0
/*!
* @file
* @brief Handling of files and calibration data.
* @author Pete Black <pblack@collabora.com>
* @author Jakob Bornecrantz <jakob@collabora.com>
* @author Ryan Pavlik <ryan.pavlik@collabora.com>
* @ingroup aux_tracking
*/
#include "tracking/t_calibration_opencv.hpp"
#include "util/u_misc.h"
/*
*
* Pre-declar functions.
*
*/
static bool
read_cv_mat(FILE *f, cv::Mat *m, const char *name);
static bool
write_cv_mat(FILE *f, cv::Mat *m);
/*
*
* Refine and create functions.
*
*/
RemapPair
calibration_get_undistort_map(t_camera_calibration &calib,
cv::InputArray rectify_transform_optional,
cv::Mat new_camera_matrix_optional)
{
RemapPair ret;
CameraCalibrationWrapper wrap(calib);
if (new_camera_matrix_optional.empty()) {
new_camera_matrix_optional = wrap.intrinsics_mat;
}
//! @todo Scale Our intrinsics if the frame size we request
// calibration for does not match what was saved
cv::Size image_size(calib.image_size_pixels.w,
calib.image_size_pixels.h);
if (calib.use_fisheye) {
cv::fisheye::initUndistortRectifyMap(
wrap.intrinsics_mat, // cameraMatrix
wrap.distortion_fisheye_mat, // distCoeffs
rectify_transform_optional, // R
new_camera_matrix_optional, // newCameraMatrix
image_size, // size
CV_32FC1, // m1type
ret.remap_x, // map1
ret.remap_y); // map2
} else {
cv::initUndistortRectifyMap(
wrap.intrinsics_mat, // cameraMatrix
wrap.distortion_mat, // distCoeffs
rectify_transform_optional, // R
new_camera_matrix_optional, // newCameraMatrix
image_size, // size
CV_32FC1, // m1type
ret.remap_x, // map1
ret.remap_y); // map2
}
return ret;
}
StereoRectificationMaps::StereoRectificationMaps(
t_stereo_camera_calibration *data)
{
assert(data != NULL);
assert(data->view[0].image_size_pixels.w ==
data->view[1].image_size_pixels.w);
assert(data->view[0].image_size_pixels.h ==
data->view[1].image_size_pixels.h);
assert(data->view[0].use_fisheye == data->view[1].use_fisheye);
cv::Size image_size(data->view[0].image_size_pixels.w,
data->view[0].image_size_pixels.h);
StereoCameraCalibrationWrapper wrapped(data);
/*
* Generate our rectification maps
*
* Here cv::noArray() means zero distortion.
*/
if (data->view[0].use_fisheye) {
#if 0
//! @todo for some reason this looks weird?
// Alpha of 1.0 kinda works, not really.
int flags = cv::CALIB_ZERO_DISPARITY;
double balance = 0.0; // aka alpha.
double fov_scale = 1.0;
cv::fisheye::stereoRectify(
wrapped.view[0].intrinsics_mat, // K1
wrapped.view[0].distortion_fisheye_mat, // D1
wrapped.view[1].intrinsics_mat, // K2
wrapped.view[1].distortion_fisheye_mat, // D2
image_size, // imageSize
wrapped.camera_rotation_mat, // R
wrapped.camera_translation_mat, // tvec
view[0].rotation_mat, // R1
view[1].rotation_mat, // R2
view[0].projection_mat, // P1
view[1].projection_mat, // P2
disparity_to_depth_mat, // Q
flags, // flags
cv::Size(), // newImageSize
balance, // balance
fov_scale); // fov_scale
#else
// Regular stereoRectify function instead, without distortion.
int flags = cv::CALIB_ZERO_DISPARITY;
// The function performs the default scaling.
float alpha = -1.0f;
cv::stereoRectify(
wrapped.view[0].intrinsics_mat, // cameraMatrix1
cv::noArray(), // distCoeffs1
wrapped.view[1].intrinsics_mat, // cameraMatrix2
cv::noArray(), // distCoeffs2
image_size, // imageSize
wrapped.camera_rotation_mat, // R
wrapped.camera_translation_mat, // T
view[0].rotation_mat, // R1
view[1].rotation_mat, // R2
view[0].projection_mat, // P1
view[1].projection_mat, // P2
disparity_to_depth_mat, // Q
flags, // flags
alpha, // alpha
cv::Size(), // newImageSize
NULL, // validPixROI1
NULL); // validPixROI2
#endif
} else {
// Have the same principal point on both.
int flags = cv::CALIB_ZERO_DISPARITY;
// Get all of the pixels from the camera.
float alpha = 1.0f;
cv::stereoRectify(
wrapped.view[0].intrinsics_mat, // cameraMatrix1
/* cv::noArray(), */ // distCoeffs1
wrapped.view[0].distortion_mat, // distCoeffs1
wrapped.view[1].intrinsics_mat, // cameraMatrix2
/* cv::noArray(), */ // distCoeffs2
wrapped.view[1].distortion_mat, // distCoeffs2
image_size, // imageSize
wrapped.camera_rotation_mat, // R
wrapped.camera_translation_mat, // T
view[0].rotation_mat, // R1
view[1].rotation_mat, // R2
view[0].projection_mat, // P1
view[1].projection_mat, // P2
disparity_to_depth_mat, // Q
flags, // flags
alpha, // alpha
cv::Size(), // newImageSize
NULL, // validPixROI1
NULL); // validPixROI2
}
view[0].rectify = calibration_get_undistort_map(
data->view[0], view[0].rotation_mat, view[0].projection_mat);
view[1].rectify = calibration_get_undistort_map(
data->view[1], view[1].rotation_mat, view[1].projection_mat);
}
/*
*
* Load functions.
*
*/
extern "C" bool
t_stereo_camera_calibration_load_v1(
FILE *calib_file, struct t_stereo_camera_calibration **out_data)
{
t_stereo_camera_calibration *data_ptr = NULL;
t_stereo_camera_calibration_alloc(&data_ptr);
StereoCameraCalibrationWrapper wrapped(data_ptr);
// Dummy matrix
cv::Mat dummy;
// Read our calibration from this file
// clang-format off
cv::Mat_<float> mat_image_size(2, 1);
bool result = read_cv_mat(calib_file, &wrapped.view[0].intrinsics_mat, "l_intrinsics"); // 3 x 3
result = result && read_cv_mat(calib_file, &wrapped.view[1].intrinsics_mat, "r_intrinsics"); // 3 x 3
result = result && read_cv_mat(calib_file, &wrapped.view[0].distortion_mat, "l_distortion"); // 1 x 5
result = result && read_cv_mat(calib_file, &wrapped.view[1].distortion_mat, "r_distortion"); // 1 x 5
result = result && read_cv_mat(calib_file, &wrapped.view[0].distortion_fisheye_mat, "l_distortion_fisheye"); // 4 x 1
result = result && read_cv_mat(calib_file, &wrapped.view[1].distortion_fisheye_mat, "r_distortion_fisheye"); // 4 x 1
result = result && read_cv_mat(calib_file, &dummy, "l_rotation"); // 3 x 3
result = result && read_cv_mat(calib_file, &dummy, "r_rotation"); // 3 x 3
result = result && read_cv_mat(calib_file, &dummy, "l_translation"); // empty
result = result && read_cv_mat(calib_file, &dummy, "r_translation"); // empty
result = result && read_cv_mat(calib_file, &dummy, "l_projection"); // 3 x 4
result = result && read_cv_mat(calib_file, &dummy, "r_projection"); // 3 x 4
result = result && read_cv_mat(calib_file, &dummy, "disparity_to_depth"); // 4 x 4
result = result && read_cv_mat(calib_file, &mat_image_size, "mat_image_size");
if (!result) {
fprintf(stderr, "\tRe-run calibration!\n");
return false;
}
wrapped.view[0].image_size_pixels.w = uint32_t(mat_image_size(0, 0));
wrapped.view[0].image_size_pixels.h = uint32_t(mat_image_size(0, 1));
wrapped.view[1].image_size_pixels = wrapped.view[0].image_size_pixels;
cv::Mat mat_new_image_size = mat_image_size.clone();
if (read_cv_mat(calib_file, &mat_new_image_size, "mat_new_image_size")) {
// do nothing particular here.
}
if (!read_cv_mat(calib_file, &wrapped.camera_translation_mat, "translation")) {
fprintf(stderr, "\tRe-run calibration!\n");
}
if (!read_cv_mat(calib_file, &wrapped.camera_rotation_mat, "rotation")) {
fprintf(stderr, "\tRe-run calibration!\n");
}
if (!read_cv_mat(calib_file, &wrapped.camera_essential_mat, "essential")) {
fprintf(stderr, "\tRe-run calibration!\n");
}
if (!read_cv_mat(calib_file, &wrapped.camera_fundamental_mat, "fundamental")) {
fprintf(stderr, "\tRe-run calibration!\n");
}
cv::Mat_<float> mat_use_fisheye(1, 1);
if (!read_cv_mat(calib_file, &mat_use_fisheye, "use_fisheye")) {
wrapped.view[0].use_fisheye = false;
fprintf(stderr, "\tRe-run calibration! (Assuming not fisheye)\n");
} else {
wrapped.view[0].use_fisheye = mat_use_fisheye(0, 0) != 0.0f;
}
wrapped.view[1].use_fisheye = wrapped.view[0].use_fisheye;
// clang-format on
assert(wrapped.isDataStorageValid());
t_stereo_camera_calibration_reference(out_data, data_ptr);
t_stereo_camera_calibration_reference(&data_ptr, NULL);
return true;
}
/*
*
* Save functions.
*
*/
extern "C" bool
t_stereo_camera_calibration_save_v1(FILE *calib_file,
struct t_stereo_camera_calibration *data)
{
StereoCameraCalibrationWrapper wrapped(data);
// Dummy matrix
cv::Mat dummy;
write_cv_mat(calib_file, &wrapped.view[0].intrinsics_mat);
write_cv_mat(calib_file, &wrapped.view[1].intrinsics_mat);
write_cv_mat(calib_file, &wrapped.view[0].distortion_mat);
write_cv_mat(calib_file, &wrapped.view[1].distortion_mat);
write_cv_mat(calib_file, &wrapped.view[0].distortion_fisheye_mat);
write_cv_mat(calib_file, &wrapped.view[1].distortion_fisheye_mat);
write_cv_mat(calib_file, &dummy); // view[0].rotation_mat
write_cv_mat(calib_file, &dummy); // view[1].rotation_mat
write_cv_mat(calib_file, &dummy); // l_translation
write_cv_mat(calib_file, &dummy); // r_translation
write_cv_mat(calib_file, &dummy); // view[0].projection_mat
write_cv_mat(calib_file, &dummy); // view[1].projection_mat
write_cv_mat(calib_file, &dummy); // disparity_to_depth_mat
cv::Mat mat_image_size;
mat_image_size.create(1, 2, CV_32F);
mat_image_size.at<float>(0, 0) = wrapped.view[0].image_size_pixels.w;
mat_image_size.at<float>(0, 1) = wrapped.view[0].image_size_pixels.h;
write_cv_mat(calib_file, &mat_image_size);
// "new" image size - we actually leave up to the caller now
write_cv_mat(calib_file, &mat_image_size);
write_cv_mat(calib_file, &wrapped.camera_translation_mat);
write_cv_mat(calib_file, &wrapped.camera_rotation_mat);
write_cv_mat(calib_file, &wrapped.camera_essential_mat);
write_cv_mat(calib_file, &wrapped.camera_fundamental_mat);
cv::Mat mat_use_fisheye;
mat_use_fisheye.create(1, 1, CV_32F);
mat_use_fisheye.at<float>(0, 0) = wrapped.view[0].use_fisheye;
write_cv_mat(calib_file, &mat_use_fisheye);
return true;
}
/*
*
* Helpers
*
*/
static bool
write_cv_mat(FILE *f, cv::Mat *m)
{
uint32_t header[3];
header[0] = static_cast<uint32_t>(m->elemSize());
header[1] = static_cast<uint32_t>(m->rows);
header[2] = static_cast<uint32_t>(m->cols);
fwrite(static_cast<void *>(header), sizeof(uint32_t), 3, f);
fwrite(static_cast<void *>(m->data), header[0], header[1] * header[2],
f);
return true;
}
static bool
read_cv_mat(FILE *f, cv::Mat *m, const char *name)
{
uint32_t header[3] = {};
size_t read = 0;
cv::Mat temp;
read = fread(static_cast<void *>(header), sizeof(uint32_t), 3, f);
if (read != 3) {
printf("Failed to read mat header: '%i' '%s'\n", (int)read,
name);
return false;
}
if (header[1] == 0 && header[2] == 0) {
return true;
}
//! @todo We may have written things other than CV_32F and CV_64F.
if (header[0] == 4) {
temp.create(static_cast<int>(header[1]),
static_cast<int>(header[2]), CV_32F);
} else {
temp.create(static_cast<int>(header[1]),
static_cast<int>(header[2]), CV_64F);
}
read = fread(static_cast<void *>(temp.data), header[0],
header[1] * header[2], f);
if (read != (header[1] * header[2])) {
printf("Failed to read mat body: '%i' '%s'\n", (int)read, name);
return false;
}
if (m->empty()) {
m->create(header[1], header[2], temp.type());
}
if (temp.type() != m->type()) {
printf("Mat body type does not match: %i vs %i for '%s'\n",
(int)temp.type(), (int)m->type(), name);
return false;
}
if (temp.total() != m->total()) {
printf("Mat total size does not match: %i vs %i for '%s'\n",
(int)temp.total(), (int)m->total(), name);
return false;
}
if (temp.size() == m->size()) {
// Exact match
temp.copyTo(*m);
return true;
}
if (temp.size().width == m->size().height &&
temp.size().height == m->size().width) {
printf("Mat transposing on load: '%s'\n", name);
// needs transpose
cv::transpose(temp, *m);
return true;
}
// highly unlikely so minimally-helpful error message.
printf("Mat dimension unknown mismatch: '%s'\n", name);
return false;
}
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