shikhardevgupta

5 ms·

1.
The human cost of AI and Data annotation(mindkosh.com)
1 points by shikhardevgupta 2y ago|0 comments
2.
by shikhardevgupta 2y ago
Mostly true. But the last part is incorrect. There are far more pixels in an image compared to the number of points in the point cloud area covered by that image. So you get 1 pixel per point. In addition there can be multiple points that m
3.
by shikhardevgupta 2y ago
True. But my reference point is Lidars which mostly produce non-colored points.
4.
by shikhardevgupta 2y ago
Yes, I am working on using numpy to do the projection using matrices so we dont have to loop over each point and project it individually. That should be a big boost. The way I handle the different camera images is to simply see which one pr
5.
Colorize Lidar point clouds with camera images(medium.com)
54 points by shikhardevgupta 2y ago|21 comments
6.
by shikhardevgupta 2y ago
Lidars are pretty powerful, but one big disadvantage of using point clouds for perception is that they are not colored. This makes identifying objects more difficult compared to camera images. However, by combining camera images with lidar
7.
by shikhardevgupta 5y ago
Labeling your data is hard work. We make it easier with an intuitive platform you can start using right away. Mindkosh lets you easily manage large labeling projects, triage labeling errors, and reduce the number of clicks it takes to label
8.
An easy-to-use data labeling platform(app.mindkosh.com)
3 points by shikhardevgupta 5y ago|1 comments
9.
by shikhardevgupta 5y ago
Looks super cool. I read about Neural Pathways in grad school, and seeing all that theory in action feels great.
10.
by shikhardevgupta 5y ago
Looks super cool!
11.
by shikhardevgupta 5y ago
Learned C++ in school. Dont ever want to go back to it. It's just too complicated.