-
Notifications
You must be signed in to change notification settings - Fork 57
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Couldn't project cuboids to 2D camera image. #65
Comments
Have you ever tried this tutorial? |
My code: import pandaset dataset = pandaset.DataSet("/data/PandaSet") seq002 = dataset["002"] seq_idx = 0 corners = geometry.center_box_to_corners(box) camera_used = cuboids0["camera_used"][seq_idx] ori_image = seq002.camera[camera_name][seq_idx] projected_points2d, camera_points_3d, inner_indices = geometry.projection(lidar_points=corners, box1 = projected_points2d[(0, 3, 7, 4), :] cv2.imshow('boxed', img) cv2.waitKey() |
The box you try to show on the image is not in front of the camera, it's out of field of vision, maybe at back of the camera. |
I have tried every camera. It doesn't work well |
There is a mistake in visualization code, |
Thanks a lot. |
Can you give one tutorial?
What is the relation between camera used and front camera, front left camera,..., back camera?
The text was updated successfully, but these errors were encountered: