Flow-to-depth (FDNet) video-depth-estimation
This is the implementation of paper
Video Depth Estimation by Fusing Flow-to-Depth Proposals
Jiaxin Xie, Chenyang Lei, Zhuwen Li, Li Erran Li, Qifeng Chen
In IROS 2020.
See our paper (https://arxiv.org/pdf/1912.12874.pdf) for more details. Please contact Jiaxin Xie ([email protected]) if you have any questions.
Prerequisites
This codebase was developed and tested with Tensorflow 1.4.0 and Numpy 1.16.2
Evaluation on KITTI Eigen Split
IF you want to generate GroundTruth Depth from KITTI RAW data, download KITTI dataset using this script provided on the official website.
Meanwhile, we also provided GroundTruth Depth save in npy file, download it from here
Our final results on KITTI Eigen is availible on here
Then run
python kitti_eval/eval_depth_general.py --kitti_dir=/path/to/raw/kitti/dataset/ or /path/to/downloaded/GoundTruth/npy/file/ --pred_file=/path/to/our/final/results/