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

the training of depth predictor #21

Open
minghongss opened this issue May 31, 2021 · 1 comment
Open

the training of depth predictor #21

minghongss opened this issue May 31, 2021 · 1 comment

Comments

@minghongss
Copy link

How is your depth predictor trained? What is the code for training? What training set did you use?

@jahaniam
Copy link
Collaborator

To provide depth prediction in the initialization of map
points in CNN-SVO, we adopt the Resnet50 variant of the
encoder-decoder architecture from [7] that has already been
trained on Cityscape dataset. Next, we fine-tune the network on stereo images in KITTI raw data excluding KITTI
Odometry Sequence 00-10 using original settings in [7]
for 50 epochs

We used https://github.com/mrharicot/monodepth code for training although since then the depth neural networks improved a lot and you can use any other arbitrary network.

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