Is It possible to get rotation information of the object in the image by using Open3D dll? rotation information is roll, pitch and yaw angle of the object.
just out of curiosity I wanted to know what if while generating a point cloud the input data has some dynamic thing i.e. in the monitor one video is playing along while taking camera recording, how does open3d is going to handle that situation?
I'm currently working a robotic project which involves the localization. I found the visual odometry is quite promising. When I use open3D in Python to implement the visual odometry, I found for every source and target frame, it requires 0.3 seconds to compute the transformation matrix. I doubt it can be used for realtime computing. I'm new to this computer vision, is there any way that I can speed up the computing?
Open3d may be good, but the fundamental operations are missing in the documentation with examples. Clear examples of fundamental operations are missing. Examples: - How are only points of a certain color displayed? - What information is stored in the KDTree (x,y,z; color etc) and how can I read it quickly? - How to change the color value of a single point (x,y,z)? - How can points be removed? Do I have to read through miles of text?
Great job!!! This lib is extremely helpful while dealing with 3d datas.
how can we use T265 along with D415 to help the slam process? to give almost accurate estimations of the camera position?
Is It possible to get rotation information of the object in the image by using Open3D dll?
rotation information is roll, pitch and yaw angle of the object.
do some one have a code or github links for this?
just out of curiosity I wanted to know what if while generating a point cloud the input data has some dynamic thing i.e. in the monitor one video is playing along while taking camera recording, how does open3d is going to handle that situation?
I'm currently working a robotic project which involves the localization. I found the visual odometry is quite promising.
When I use open3D in Python to implement the visual odometry, I found for every source and target frame, it requires 0.3 seconds to compute the transformation matrix. I doubt it can be used for realtime computing. I'm new to this computer vision, is there any way that I can speed up the computing?
Try working with openvslam
Excellent!
Open3d may be good, but the fundamental operations are missing in the documentation with examples.
Clear examples of fundamental operations are missing. Examples:
- How are only points of a certain color displayed?
- What information is stored in the KDTree (x,y,z; color etc) and how can I read it quickly?
- How to change the color value of a single point (x,y,z)?
- How can points be removed?
Do I have to read through miles of text?
Can I use this library with the processing ide?
Thanks for great presentation! Where could I download the slides?
Hey guys, does anyone knows how to install open3d in Windows10 for python? I am using Python 3.8 and PyCharms.
Great Job! Will it work unsing other RGBD camera than RealSense ?
No one clapped when he said so here is the result!
nice!
Good job, but I thought your name is "Fixing Lad" 😅
3Dビューワーに興味あります。
回答问题的样子有点像张信哲 you looks like Zhangxinzhe when you answer questions haha
Wish I had one to try,
So many ideas, such pain to order it overseas..