Wrong disparity scale in InStereo2k dataset

[tpet]

🐛 Describe the bug

https://github.com/YuhuaXu/StereoDataset describes the disparities as multiplied by 100 but in the code they are divided by 1024.

Versions

Collecting environment information...
PyTorch version: 1.13.0+cu117
Is debug build: False
CUDA used to build PyTorch: 11.7
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.1 LTS (x86_64)
GCC version: (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Clang version: Could not collect
CMake version: version 3.22.1
Libc version: glibc-2.35

Python version: 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0] (64-bit runtime)
Python platform: Linux-5.15.0-58-generic-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

Versions of relevant libraries:
[pip3] numpy==1.23.4
[pip3] torch==1.13.0
[pip3] torchvision==0.14.0
[conda] Could not collect

cc @pmeier

[NicolasHug]

Thanks for the report @tpet

@TeodorPoncu , any chance you remember why 1024 was used instead of 100?

[TeodorPoncu]

@NicolasHug Unfortunately I do not. Most likely I might have mistakenly read the value.

This implies that the provided finetuned weights for CREStereo should be retrained. The base weights are unaffected by InStereo2k.