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Strange Evaluatoin Result on Kitti #230
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Hi @aliko70 |
|
Yeah,training set need to be changed, but the ground truth needn't to be changed. |
Thank you very much! I have got the right results. |
Hi @mrharicot
I am getting strangely high error result when I test by the downloaded kitti model. The generated depthmaps both using the given-model as well as my own trained models all look good while their evaluation on kitti_stereo_2015_test_files gives me the same abnormal results...
Testing:
python monodepth_main.py --mode test --data_path path_to_kittiDataset/test_data/
--filenames_file path_to_kitti_dataset/kitti_stereo_2015_test_files.txt --log_directory $logdir
--checkpoint_path path_to_models/model_kitti --output_directory $outputdir
Evaluating:
python utils/evaluate_kitti.py --split kitti --predicted_disp_path $outputdir/disparities.npy --gt_path utils/data_scene_flow/test_data
-sample of generated depth:
min_depth = 1e-3 max_depth = 80 pred_depth[pred_depth < min_depth] = min_depth pred_depth[pred_depth > max_depth] = max_depth
-corresponding gt-depth:
This ends up with very large values in 'thresh' when computing errors.
Will really appreciate it if you can get me some hints @dantkz @gosip @Hirico .
Thanks, Ali
Originally posted by @aliko70 in #199 (comment)
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