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

Seeking Detailed Information on the Model Architecture and Weight File Used in Basic AI for LiDAR-Camera Fusion Annotation #230

Closed
jotamotk opened this issue Apr 7, 2024 — with Slack · 2 comments
Assignees

Comments

Copy link
Collaborator

jotamotk commented Apr 7, 2024

Hello, Basic AI Team

I started annotating on the datasets of LiDAR Fusion Trial. I used Basic LiDAR Object Detection model. The results are so good.
I'm wondering that how worked it. So I red your documents and I understood that Lidar-camera Fusion (Frame series) Annotation uses OpenPCDet. That annotates 3D point Cloud. However, I couldn't know which model (architecture) and weight file are used on Basic AI. Could I know the information.

Regards,
Silva

@ShirleySprite
Copy link

@silva21d
Copy link

Hello! The detailed configuration of the model can be found in this file: https://github.com/xtreme1-io/point-cloud-object-detection/blob/main/pcdet_open/cfgs/nuscenes_models/cbgs_voxel0075_res3d_centerpoint.yaml

@ShirleySprite
Thank you for your answer I confirmed the source code and understand the algorithm.

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

4 participants