jspenmar / monodepth_benchmark Goto Github PK

Hi, thanks for the wonderful codebase.

I would like to ask which configuration has the highest accuracy on KITTI Eigen and SYNS-Patches respectively? The corresponding precision of these experimental configurations is not found in readme.

Look forward for your reply, thanks.

Hello, thank you for the amazing work!
I am downloading the dataset following the instructions on https://github.com/jspenmar/monodepth_benchmark/blob/main/api/data/README.md.
In the Download section of Kitti Depth Benchmark it says to execute
python ../../api/data/export_kitti_depth_benchmark.py # Copy benchmark data to 'kitti_raw_sync'
When I run that I get a ModuleNotFoundError: No module named 'src'.
If I move to the root and try to run the script as a module I get a KeyError.
How can I solve that?

I am trying to reproduce monodepth2 results using the benchmark. I run

python api/train/train.py -cfg-file cfg/abl_bb/resnet18.yaml --cfg-default cfg/abl_bb/default.yaml --ckpt-dir logs/benchmark/ --name md2 --version 42 --seed 42

where resnet18.yaml is

net:
  depth:
    enc_name: 'resnet18'

dataset:
  type: 'kitti'
  supp_idxs: [ -1, 1]

loader:
  batch_size: 36

But, when I evaluate it, my best model is not as good at monodepth2

Ratio: 26.717182107430105
AbsRel: 0.1205853946784904
SqRel: 0.9113600682814631
RMSE: 4.980470443558659
LogRMSE: 0.19857460770280325
$\delta < 1.25$: 0.8655597941752403
$\delta < 1.25^2$: 0.9562950148720958
$\delta < 1.25^3$: 0.9799390811001284

Could you please clarify how model results can be evaluated on syns-patches dataset, since there doesn't seem to be a submission option available on the challenge page on CodaLab?

In api/data/export_kitti_depth_benchmark.py
some syntax do not support in python3.6
and numpy should update 1.21.x ,but python3.6 not support this

mybe there are other error by lib version or pytho version,so if ok , add information of python version and requirements.txt.

Hi @jspenmar, thank you for open-sourcing this project, it is exciting!

Regarding the re-implemented models, will you release the evaluation scripts as well as the pretrained weights for reproduction? Thanks!

Hello,

I am working on a project that involves monocular depth estimation using SYNS-Patches dataset. I would like to request the camera parameters of this dataset, especially intrinsics such as focal length and principal point.

Could you please provide me with these information or point me to where I can find them? I appreciate your help.

Thank you.