-
Notifications
You must be signed in to change notification settings - Fork 78
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
training numbers in test set #54
Comments
It is like a mini-validation set before submission. You can train with all the images but it receives similar results. |
Have you waited enough time for the results to pop up? Because if you strictly follow my code, bird-eye-view and 3D results will come up together. Only BEV presented is weird. |
Yes, I did, the result still remain 0 until now(I tested like 10 hours ago), and the 3D results didn't show, is there anything I can modify in the code to avoid this? |
Hi, thanks for your great work. I have a little question, why does the number of training images in test_split is 7397? Seems like you moved 1% of training images to validation set instead of using the whole training set, so I wonder what's the difference and why you do so? Thank you.
The text was updated successfully, but these errors were encountered: