Comments (4)
Besides the instruction you mentioned in colmap repo, you can also try this one: https://github.com/fyusion/llff#1-recover-camera-poses
Our method only supports two or more posed images as input for depth prediction. If you are looking for single image depth estimation methods, you might want to try https://github.com/isl-org/DPT
from unimatch.
Hi @haofeixu,
Thank you for your detailed reply:thumbsup:. I will check it out.
from unimatch.
Hi @haofeixu ,
I tried https://github.com/fyusion/llff#1-recover-camera-poses, but got error message ERROR: failed to create sparse model
.
I am wondering if it would be convenient to share the colmap/llff
scripts you used to extract the pose for https://github.com/autonomousvision/unimatch/tree/master/demo/depth-scannet (from color images and intrinsic to pose).
from unimatch.
Hi @haofeixu ,
I tried https://github.com/fyusion/llff#1-recover-camera-poses, but got error message
ERROR: failed to create sparse model
. I am wondering if it would be convenient to share thecolmap/llff
scripts you used to extract the pose for https://github.com/autonomousvision/unimatch/tree/master/demo/depth-scannet (from color images and intrinsic to pose).
have you solve that,I meet save error.
from unimatch.
Related Issues (20)
- is this method suitable for panoramas which is about up and down?? HOT 1
- 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
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from unimatch.