# sconlyshootery/FeatDepth

<https://repo.masters-masters.com/en/repos/sconlyshootery/FeatDepth>

[Home](https://repo.masters-masters.com/en) › [sconlyshootery](https://repo.masters-masters.com/en/owners/sconlyshootery) › [FeatDepth](https://repo.masters-masters.com/en/repos/sconlyshootery/FeatDepth)

sconlyshootery/FeatDepth has 249 stars on GitHub. Its RepoMasters card: Prototype tier. This is the offical codes for the methods described in the…

| Field | Value |
| --- | --- |
| Owner | [sconlyshootery](https://repo.masters-masters.com/en/owners/sconlyshootery) |
| Stars | 249 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | self-supervised-learning, kitti, depth-estimation, odometry, representation-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [sconlyshootery/FeatDepth](https://github.com/sconlyshootery/FeatDepth) |

## Repository

This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.