Comments (5)
Thanks for your suggestion and you are welcome to send a PR to this repo, thanks.
from unimatch.
I have images from different cameras with different intrinsics that I would like the calculate the depth from. I already have the intrinsics for each and the relative pose between them, but this code base doesn't support this currently (e.g. see matching.py line 260 and 265 which explicitly assumes the intrinsics are the same for both cameras.
Cheers, Jonathon
Have you solved it?
from unimatch.
No sorry. In the end I just used a different code base for this.
from unimatch.
No sorry. In the end I just used a different code base for this.
Could you share the project you used?
from unimatch.
So I’m not 100% sure because I didn’t end up actually using this for any final results. I think I resorted to mono depth with Zoe Depth as an initial guess and then optimised to make it consistent between the frames with a nerf like variant.
This is VERY different to what your repo is doing, but it gave me approximately what I was looking for (depth consistent between two frames). If you ever implement this in your code would be cool.
from unimatch.
Related Issues (20)
- nice work! and plan to live camera gui? HOT 2
- Resetting hidden state during refinement HOT 2
- Running in Windows? HOT 1
- Why the value of optical flow is opposite? HOT 1
- gmstereo_scale1 vs gmstereo_scale2 Inference speed HOT 1
- Decoding RGB Optical Flow for Motion Information Extraction in Video Action Recognition HOT 3
- What is the best resolution for inferencing optical flow? HOT 4
- The optical flow between two identical images looks like random noise. Is this normal? HOT 2
- Request for new weights HOT 1
- gmstereo_scale1_train.sh HOT 1
- The problem of optical flow prediction HOT 1
- unimatch.py line 257 HOT 1
- [GMflow] What do the ’train_dataset ‘ equation coefficients mean when stage=sintel? HOT 1
- Question about model and model_without_ddp HOT 2
- loss curve HOT 2
- Question on upsampling during training. HOT 4
- tartan air dataset HOT 5
- About disparity and depth HOT 2
- Impact of Iteration Discrepancy Between Supervised and Unimatch Models on Optimization and Results
- 双目深度预测中,预测出的深度图是左图还是右图?
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from unimatch.