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

Low miou when only counting the occupancy results within the field of view of the front camera #46

Open
zswzswzsw233 opened this issue Jun 22, 2024 · 2 comments

Comments

@zswzswzsw233
Copy link

Hello author, thank you for your work!
Why did the MIOU decrease significantly (approximately 5 points:32->27) when only counting the occupancy results within the field of view of the front camera? I set my own camera mask to ignore the rest of the space:
微信截图_20240622170655

At the same time, I attempted to train using only the images from the front camera, and used the camera mask to only calculate the occupancy loss within the field of view of the front camera. The results were similar.

@drilistbox
Copy link
Collaborator

It's a strange but interesting phenomenon.
Does the instrinic parameter of the front camera same with many other camera's ?

@zswzswzsw233
Copy link
Author

应该是训练数据不足的原因,只使用了前置相机的图片进行训练

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