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View Code? Open in Web Editor NEWcamera homography estimation
License: MIT License
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drive_ros_camera_homography's Issues
add save() function
Keypoints are detected, but not the pattern
Hey folks,
thanks for the great tool! I'm trying to use it to calculate homography for the drivable surface hostmap. I've printed the v2 pattern in the correct scale, and after tweaking the dynamic_reconfigure all the keypoints are detected properly, but pattern never gets detected. Any hints on what might be wrong there? Thanks!
Alex
Unit tests are failing
Hey,
I've noticed the unit tests for this package are failing. I tried this in a fresh docker container (ros:kinetic)
Command:
catkin_make run_testsOutput
-- run_tests.py: execute commands
/opt/ros/kinetic/share/rostest/cmake/../../../bin/rostest --pkgdir=/root/src/drive_ros_camera_homography --package=drive_ros_camera_homography --results-filename launch_homography_estimator.xml --results-base-dir /root/build/test_results /root/src/drive_ros_camera_homography/launch/homography_estimator.test
... logging to /root/.ros/log/rostest-319386edbe39-4369.log
[ROSUNIT] Outputting test results to /root/build/test_results/drive_ros_camera_homography/rostest-launch_homography_estimator.xml
[Testcase: testcamera_homography_estimator_test] ... ok
[ROSTEST]-----------------------------------------------------------------------
[drive_ros_camera_homography.rosunit-camera_homography_estimator_test/testCase0][FAILURE]
/root/src/drive_ros_camera_homography/test/homography_estimator_test.cpp:29
Value of: he.checkPointSize(mat, p2.x, p2.y)
Actual: [4, 2]
Expected: p2
Which is: [4, 3]
--------------------------------------------------------------------------------
[drive_ros_camera_homography.rosunit-camera_homography_estimator_test/testCase0][FAILURE]
/root/src/drive_ros_camera_homography/test/homography_estimator_test.cpp:36
Value of: he.checkPointSize(mat, p4.x, p4.y)
Actual: [4, 2]
Expected: cv::Point(mat.cols,mat.rows)
Which is: [5, 3]
--------------------------------------------------------------------------------
SUMMARY
* RESULT: FAIL
* TESTS: 1
* ERRORS: 0
* FAILURES: 1
check image boundaries
image boundaries should be checked
apply transformations before processing image
Currently we don't need this feature, because our lens produces undistorted images.
However to support a more general setup this should be implemented (easy to implement).
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