eval.sh crush because of missing files

[BarRozenman]

Hello, I'm trying to run eval.sh with the pretrained models of "stage1" provided in this repo on the Kitti dataset that was downloaded and extracted as described in the readme.md file.

I downloaded the pretrained models and saved them to a new folder named "ckpt" inside the PlaneDepth repo folder

the eval.sh file I run

CUDA_VISIBLE_DEVICES=0 python evaluate_depth_HR.py \
--eval_stereo \
--load_weights_folder ./ckpt \
--models_to_load encoder depth \
--use_denseaspp \
--plane_residual \
--use_mixture_loss \
--batch_size 1 \
--width 1280 \
--height 384 \

console output is:

>> /usr/bin/zsh /home/.../projects/PlaneDepth/eval.sh                                                                                                                                      [main]
-> Loading weights from ./ckpt
use 49 xy planes, 14 xz planes and 0 yz planes.
use DenseAspp Block
use mixture Lap loss
use plane residual
-> Computing predictions with size 1280x384
0.6184294
Traceback (most recent call last):
  File "/home/.../projects/PlaneDepth/evaluate_depth_HR.py", line 287, in <module>
    evaluate(options.parse())
  File "/home/.../projects/PlaneDepth/evaluate_depth_HR.py", line 216, in evaluate
    gt_depths = np.load(gt_path, fix_imports=True, encoding='latin1', allow_pickle=True)["data"]
  File "/home/.../miniconda3/envs/planedepth/lib/python3.9/site-packages/numpy/lib/npyio.py", line 417, in load
    fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: '/home/.../projects/PlaneDepth/./splits/eigen_raw/gt_depths.npz'

I saw that there is a creation of this file on "PlaneDepth/splits/eigen_improved/prepare_groundtruth.py" but its only for the "eigen_improves" and it seems to contain hard-coded path that is not relevant on line 23, GT_path = os.path.join("/public/home/wangry3/datasets/kitti_depth/train/", line[0][11:], "proj_depth/groundtruth/image_02", line[1]+".png")

and the dataset structure seems to be different to the dataset structure provided by this repo and "kitti_archives_to_download.txt"

can someone please explain what am I missing? thank you 🙏
my repository tree:

PlaneDepth # cloned from repo
├── ckpt
      ├── depth.pth # from the repo PlaneDepth pre-trained section
       |── encoder.pth # from the repo PlaneDepth pre-trained section
├── kitti # downloaded and extracted as described PlaneDepth repo
      ├── 2011_09_26
      │   ├── 2011_09_26_drive_0001_sync
      │   ├── 2011_09_26_drive_0002_sync
      │   ├── 2011_09_26_drive_0005_sync
...

[Dwawayu]

Hi! You can use the script from Monodepth2 to get the file gt_depths.npz of eigen_raw split.

[BarRozenman]

Thank you it worked, but I had to change the folder name from "eigen_raw" to "eigen" (and the back to the original name in order to run the eval.sh) to make the "export_gt_depth.py" work, it seems like a critical step that was overlooked in when performing evaluation

[Dwawayu]

Yes. I renamed the eigen folder to eigen_raw in my codebase to distinguish it from eigen_improved, so it should be changed back before running the original Monodepth2 script.

Thanks for your suggestion, I will modify the evaluation steps to make it clearer.