Open k-okada opened 7 years ago
I tested the data in 柏 while flying towards to target tree.
RGB space
HLS spce
HSV space
I am not familiar with the format of point cloud. And I prefer threshold plane, because we can see the change directly while tuning the filtering parameters from cfg
very nice example, how about https://github.com/ros-perception/opencv_apps/pull/61/commits/233500fbc9f9f93b08ae05a75e46e5ee2007fb41, this outputs with gray if the point is not within the threshold
I tried with the same rosbag. LVGTM!
RGB space
HLS space
HSV space
Enable to publish color space during filtering @tongtybj, @chibi314 could you check this node with your example?
rgb space![rgb](https://cloud.githubusercontent.com/assets/493276/25281358/13d386ea-26e8-11e7-890b-a787b60dc25b.gif)
hls space![hls](https://cloud.githubusercontent.com/assets/493276/25281366/1c5424aa-26e8-11e7-8f01-e0cf1660a3ed.gif)
hsv space![hsv](https://cloud.githubusercontent.com/assets/493276/25281741/3ddaf558-26e9-11e7-8f01-dc5a334aa7a4.gif)
Discussions
frame_id
(currently it ismap
) and define scales (1 for now)==
input image![input_color](https://cloud.githubusercontent.com/assets/493276/25277723/d55fa09a-26da-11e7-8f45-cecfba6e89b3.png)
rgb space![screenshot from 2017-04-21 18 02 33](https://cloud.githubusercontent.com/assets/493276/25277737/e723632a-26da-11e7-92fa-8dcdeb752c7b.png)
hls space![screenshot from 2017-04-21 21 26 32](https://cloud.githubusercontent.com/assets/493276/25277752/f6e4be94-26da-11e7-8016-3f80205a65f5.png)
hsv space![screenshot from 2017-04-21 21 27 53](https://cloud.githubusercontent.com/assets/493276/25277765/01ecc84a-26db-11e7-9da0-2fccf061a4c3.png)
https://gist.github.com/k-okada/5c7531cecc5c04abff0674afe35eba06