Skip to content

jsczzzk/RAFM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

RAFM: Recurrent Atrous Feature Modulation for Accurate Monocular Depth Estimating (SPL)

This is the official implementation for testing depth estimation using the model proposed in

RAFM: Recurrent Atrous Feature Modulation for Accurate Monocular Depth Estimating

RAFM can estimate a depth map from a single image.

image

Pretrained Models

We have updated all the results as follows: models

KITTI Evaluation

You can predict scaled disparity for a single image used RAFM with:

python test_simple.py --image_path='path_to_image' --model_path='path_to_model' 

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages