Comments (2)
Hi @LeoPerelli ,
It is great that you can replicate the results of estimating the pose with RANSAC. Would you mind check the input format of your gt poses for evaluation? For example, one suggestion is that you could check some samples, viewing the difference between the predicted poses and loaded gt poses, which should be quite small.
I apologize for not being able to respond earlier as I changed the email address in the last months.
Best,
Jianyuan
from deep-sfm-revisited.
Hey, thanks a lot! It actually turned out to be a problem related to a few poses which were totally off and perturbed the results, closing this one!
from deep-sfm-revisited.
Related Issues (20)
- Evaluation of Pose HOT 3
- ScanNet performance HOT 1
- Deep sfm
- essential_matrix' has no attribute 'initialise' HOT 1
- An exception occurred while training about finding NaN or Inf in the input tensor. HOT 1
- About RAW data download HOT 4
- Error when import module "essentail_matrix"
- Pre-trained posenet HOT 1
- Missing dependencies in requirements.txt like minieigen HOT 3
- Abouth the usage of cfg.NORM_TARGET HOT 3
- Abouth using median value to solve scale ambiguity when evualating HOT 4
- ETH3D dataset HOT 6
- About KITTI files HOT 2
- RuntimeError: CUDA out of memory. HOT 1
- Evaluation of DEMON HOT 3
- About RANSAC_FiveP HOT 16
- About KITTI gt depth HOT 1
- About KITTI Pose HOT 11
- run demon.py and evaluate.py cause same errors HOT 2
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from deep-sfm-revisited.