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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'