1 Commits

Author SHA1 Message Date
c6b8a2c2fc added branch 2019-04-03 06:51:18 +00:00
4 changed files with 89 additions and 4 deletions

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@ -14,6 +14,10 @@
#include <opencv2/opencv.hpp>
#include <opencv2/video.hpp>
#include <opencv2/cudaoptflow.hpp>
#include <opencv2/cudaimgproc.hpp>
#include <opencv2/cudaarithm.hpp>
#include <ros/ros.h>
#include <cv_bridge/cv_bridge.h>
#include <image_transport/image_transport.h>
@ -308,7 +312,7 @@ private:
const std::vector<unsigned char>& markers,
std::vector<T>& refined_vec) {
if (raw_vec.size() != markers.size()) {
ROS_WARN("The input size of raw_vec(%lu) and markers(%lu) does not match...",
ROS_WARN("The input size of raw_vec(%i) and markers(%i) does not match...",
raw_vec.size(), markers.size());
}
for (int i = 0; i < markers.size(); ++i) {
@ -363,6 +367,13 @@ private:
boost::shared_ptr<GridFeatures> prev_features_ptr;
boost::shared_ptr<GridFeatures> curr_features_ptr;
cv::Ptr<cv::cuda::SparsePyrLKOpticalFlow> d_pyrLK_sparse;
cv::cuda::GpuMat cam0_curr_img;
cv::cuda::GpuMat cam1_curr_img;
cv::cuda::GpuMat cam0_points_gpu;
cv::cuda::GpuMat cam1_points_gpu;
// Number of features after each outlier removal step.
int before_tracking;
int after_tracking;

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@ -11,6 +11,9 @@
#include <ros/ros.h>
#include <string>
#include <opencv2/core/core.hpp>
#include <opencv2/cudaoptflow.hpp>
#include <opencv2/cudaimgproc.hpp>
#include <opencv2/cudaarithm.hpp>
#include <Eigen/Geometry>
namespace msckf_vio {
@ -18,6 +21,10 @@ namespace msckf_vio {
* @brief utilities for msckf_vio
*/
namespace utils {
void download(const cv::cuda::GpuMat& d_mat, std::vector<uchar>& vec);
void download(const cv::cuda::GpuMat& d_mat, std::vector<cv::Point2f>& vec);
Eigen::Isometry3d getTransformEigen(const ros::NodeHandle &nh,
const std::string &field);

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@ -170,6 +170,10 @@ bool ImageProcessor::loadParameters() {
processor_config.ransac_threshold);
ROS_INFO("stereo_threshold: %f",
processor_config.stereo_threshold);
ROS_INFO("OpenCV Major Version: %d",
CV_MAJOR_VERSION);
ROS_INFO("OpenCV Minor Version: %d",
CV_MINOR_VERSION);
ROS_INFO("===========================================");
return true;
}
@ -200,6 +204,13 @@ bool ImageProcessor::initialize() {
detector_ptr = FastFeatureDetector::create(
processor_config.fast_threshold);
//create gpu optical flow lk
d_pyrLK_sparse = cuda::SparsePyrLKOpticalFlow::create(
Size(processor_config.patch_size, processor_config.patch_size),
processor_config.pyramid_levels,
processor_config.max_iteration,
true);
if (!createRosIO()) return false;
ROS_INFO("Finish creating ROS IO...");
@ -219,7 +230,9 @@ void ImageProcessor::stereoCallback(
sensor_msgs::image_encodings::MONO8);
// Build the image pyramids once since they're used at multiple places
createImagePyramids();
// removed due to alternate cuda construct
//createImagePyramids();
// Detect features in the first frame.
if (is_first_img) {
@ -296,6 +309,7 @@ void ImageProcessor::imuCallback(
void ImageProcessor::createImagePyramids() {
const Mat& curr_cam0_img = cam0_curr_img_ptr->image;
// TODO: build cuda optical flow
buildOpticalFlowPyramid(
curr_cam0_img, curr_cam0_pyramid_,
Size(processor_config.patch_size, processor_config.patch_size),
@ -303,6 +317,7 @@ void ImageProcessor::createImagePyramids() {
BORDER_CONSTANT, false);
const Mat& curr_cam1_img = cam1_curr_img_ptr->image;
// TODO: build cuda optical flow
buildOpticalFlowPyramid(
curr_cam1_img, curr_cam1_pyramid_,
Size(processor_config.patch_size, processor_config.patch_size),
@ -456,6 +471,8 @@ void ImageProcessor::trackFeatures() {
predictFeatureTracking(prev_cam0_points,
cam0_R_p_c, cam0_intrinsics, curr_cam0_points);
//TODO: test change to sparse
/*
calcOpticalFlowPyrLK(
prev_cam0_pyramid_, curr_cam0_pyramid_,
prev_cam0_points, curr_cam0_points,
@ -466,6 +483,25 @@ void ImageProcessor::trackFeatures() {
processor_config.max_iteration,
processor_config.track_precision),
cv::OPTFLOW_USE_INITIAL_FLOW);
*/
cam0_curr_img = cv::cuda::GpuMat(cam0_curr_img_ptr->image);
cam1_curr_img = cv::cuda::GpuMat(cam1_curr_img_ptr->image);
cam0_points_gpu = cv::cuda::GpuMat(prev_cam0_points);
cam1_points_gpu = cv::cuda::GpuMat(curr_cam0_points);
cv::cuda::GpuMat inlier_markers_gpu;
d_pyrLK_sparse->calc(cam0_curr_img,
cam1_curr_img,
cam0_points_gpu,
cam1_points_gpu,
inlier_markers_gpu,
noArray());
utils::download(cam1_points_gpu, curr_cam0_points);
utils::download(inlier_markers_gpu, track_inliers);
// Mark those tracked points out of the image region
// as untracked.
@ -625,7 +661,24 @@ void ImageProcessor::stereoMatch(
cam1_distortion_model, cam1_distortion_coeffs);
}
cam0_curr_img = cv::cuda::GpuMat(cam0_curr_img_ptr->image);
cam1_curr_img = cv::cuda::GpuMat(cam1_curr_img_ptr->image);
cam0_points_gpu = cv::cuda::GpuMat(cam0_points);
cam1_points_gpu = cv::cuda::GpuMat(cam1_points);
cv::cuda::GpuMat inlier_markers_gpu;
d_pyrLK_sparse->calc(cam0_curr_img,
cam1_curr_img,
cam0_points_gpu,
cam1_points_gpu,
inlier_markers_gpu,
noArray());
utils::download(cam1_points_gpu, cam1_points);
utils::download(inlier_markers_gpu, inlier_markers);
// Track features using LK optical flow method.
/*
calcOpticalFlowPyrLK(curr_cam0_pyramid_, curr_cam1_pyramid_,
cam0_points, cam1_points,
inlier_markers, noArray(),
@ -635,7 +688,7 @@ void ImageProcessor::stereoMatch(
processor_config.max_iteration,
processor_config.track_precision),
cv::OPTFLOW_USE_INITIAL_FLOW);
*/
// Mark those tracked points out of the image region
// as untracked.
for (int i = 0; i < cam1_points.size(); ++i) {
@ -995,7 +1048,7 @@ void ImageProcessor::twoPointRansac(
// Check the size of input point size.
if (pts1.size() != pts2.size())
ROS_ERROR("Sets of different size (%lu and %lu) are used...",
ROS_ERROR("Sets of different size (%i and %i) are used...",
pts1.size(), pts2.size());
double norm_pixel_unit = 2.0 / (intrinsics[0]+intrinsics[1]);

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@ -11,6 +11,20 @@
namespace msckf_vio {
namespace utils {
void download(const cv::cuda::GpuMat& d_mat, std::vector<cv::Point2f>& vec)
{
vec.resize(d_mat.cols);
cv::Mat mat(1, d_mat.cols, CV_32FC2, (void*)&vec[0]);
d_mat.download(mat);
}
void download(const cv::cuda::GpuMat& d_mat, std::vector<uchar>& vec)
{
vec.resize(d_mat.cols);
cv::Mat mat(1, d_mat.cols, CV_8UC1, (void*)&vec[0]);
d_mat.download(mat);
}
Eigen::Isometry3d getTransformEigen(const ros::NodeHandle &nh,
const std::string &field) {
Eigen::Isometry3d T;