Getting different test results on the KITTI

[guogangok]

1. I downloaded your pre-trained model named "model18_lr" from: https://drive.google.com/file/d/1Z60MI_UdTHfoSFSFwLI39yfe8njEN6Kp/view?usp=sharing .

2. I saved the estimated disparity map by your script:

python main.py
--val --data_path --resume /model18_192x640.pth.tar
--use_full_scale --post_process --output_scale 0 --disps_path

3. I tested the depth map using the script provided by monodepth2
   ( https://github.com/nianticlabs/monodepth2/blob/master/evaluate_depth.py ).
   The command is: python evaluate_depth.py --data_path <dataset_dir> --eval_mono --ext_disp_to_eval <saved_depth_map> --post_process.

The result is:
Mono evaluation - using median scaling
Scaling ratios | med: 6.675 | std: 0.085

abs_rel | sq_rel | rmse | rmse_log | a1 | a2 | a3 |
& 0.169 & 0.981 & 5.269 & 0.241 & 0.745 & 0.943 & 0.978 \

It is not good. Is there anything I have missed?
Thank you!

[prstrive]

Our model is stereo. If you use monodepth2's script, you should probably use eval_stereo instead of eval_mono.

[guogangok]

We tested model18.pth.tar, the result seems OK. Perhaps there is something wrong with the model model18_192x640.pth.tar.