Closed fubowen1229 closed 2 years ago
I will need to find them. I will try to post sometime this weekend.
Thank you!
Hi Bharat,
have you found the ground-truth poses yet? Thank you!
Sorry for the time taken.
I have uploaded the pose for the synthetic dataset. Check deepurl_gt_poses.txt inside the data/deepurl folder. I could not find the camera matrix used for simulation. So, projecting might not get the exact coordinates. I will check if I could find it.
For the pool dataset, you can use PnP to get the transformation as in test_image_list_pool.py.
Thank you for providing ground-truth for us!
We have tried to generate ground-truth poses for both synthetic dataset and pool dataset utilizing PnP. After projecting the model according to calculated poses, we noticed that the projection coincides well with RGB images in synthetic dataset while poorly in pool dataset. We do not know the reason yet. Therefore, maybe the original poses for pool dataset are much more vital for us.
Additionally, why do the translation (tx ty tz) equal 0.0 0.0 1.0 for all the images in deepurl_gt_poses.txt? Thanks again!
The poses should be correct for the pool dataset. I will check again. I had an issue with format use some time ago. I will check again.
The deepurl_gt_poses.txt translation is 0, 0, 1.0 for some poses. The way we generated synthetic data is by keeping fixed translation and changing orientation. After that change translation and repeat same. So, the translation should change if you look a little down the file.
Closing due to inactivity
Hello.
I noticed that only the 2D projections are provided in the dataset, which is truncated into integers. I was wondering if the ground-truth pose or the original 2D projections can be provided.
Thank you!