Skip to content
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

I have quseiton about frustum-convnet #41

Open
Gironote opened this issue Sep 11, 2020 · 2 comments
Open

I have quseiton about frustum-convnet #41

Gironote opened this issue Sep 11, 2020 · 2 comments

Comments

@Gironote
Copy link

I wonder what deep learning model rgb_detection.txt file was created using.
image

Screenshot from 2020-09-11 16-16-14.png
Or, Did you save the information in Kitty datasets in a different form again?

@zhixinwang
Copy link
Collaborator

The rgb_detction.txt comes from F-PointNets. You can refer to the details on the supplements of F-PointNets. The format of this file is image_path(or image ID), category ID, confidence, x1, y1, x2, y2.

@Gironote
Copy link
Author

Gironote commented Oct 5, 2020

@zhixinwang
As far as I know, f-convnet requires 2D object detection deep learning.
Does this program bring the 2d detection results from the kitti label?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants