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

Hello, I have got confusion with the training label and the detection range. #53

Open
kronaldo123 opened this issue Dec 18, 2023 · 4 comments

Comments

@kronaldo123
Copy link

I dont have KITTI data, so I reproduced the model with offered checkpoint on my own dataset, I found that only "car" objects can be detected. So I wonder if you only train the dataset with only "car" label?

@Ivan-Tang-3D
Copy link
Collaborator

Without finetuning on custom dataset, the domain gap between datasets could lead. to the dramatic decrease in the perfromance.

@kronaldo123
Copy link
Author

Without finetuning on custom dataset, the domain gap between datasets could lead. to the dramatic decrease in the perfromance.

Thanks, I have noticed the domain gap if i change the dataset. Here, #12 I have found that they only train "car" label.

@kronaldo123
Copy link
Author

But I still have a little confusion with the results on KITTI, they can not detect the object on farther objects(about 20 meter?). Have anyone met the same situation?

@kronaldo123 kronaldo123 changed the title Hello, have you only train the dataset with only "car" label? Hello, I have got confusion with the training label and the detection range. Dec 19, 2023
@Ivan-Tang-3D
Copy link
Collaborator

It could be in connection with the training details. The depth range detected could not include the 20 meters.

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