Comments (1)
Hello,
Our method has not been train in any dataset. We use pre-trained MiDaS as perspective monocular depth estimator. If you want, you could fine-tune MiDaS in your own dataset. Make sure though that MiDaS is designed for perspective images so, if you have 360 images to train you would need to extract perspective images from those.
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Related Issues (20)
- Convert disparity to depth maps HOT 1
- Find parameters for disparity2depth HOT 1
- Question about the depth image in Replica360 dataset HOT 4
- 最终得到的 DPT深度数据,怎么样转换成一个全景图片呢? HOT 2
- ImportError for EigenSolvers HOT 2
- Rotation for each tangent image HOT 4
- Scale consistency HOT 1
- Crash when transposing A matrix HOT 4
- Using ZoeDepth produce bad blending HOT 2
- python module not installed HOT 2
- Struggeling with docker HOT 2
- EigenSolvers import error HOT 2
- How to give our own input data? HOT 1
- About Dpt File HOT 1
- Killed while running with different input HOT 4
- point_clouds HOT 1
- Assertion arisen at blendIt.compute_linear_system_matrices HOT 2
- training code? HOT 1
- grayscale type prosessing HOT 1
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