DORN
By hufu6371
fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems" (by dwofk)
DORN | fast-depth | |
---|---|---|
1 | 2 | |
463 | 892 | |
- | - | |
- | 0.0 | |
over 4 years ago | over 1 year ago | |
Jupyter Notebook | Python | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DORN
Posts with mentions or reviews of DORN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-25.
-
How to Estimate Depth from a Single Image
For a long time, the state-of-the-art models for monocular depth estimation such as DORN and DenseDepth were built with convolutional neural networks. Recently, however, both transformer-based models such as DPT and GLPN, and diffusion-based models like Marigold have achieved remarkable results!
fast-depth
Posts with mentions or reviews of fast-depth.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-25.
-
How to Estimate Depth from a Single Image
💡For this walkthrough, we will only use the NYU depth v2 portions. NYU depth v2 is permissively licensed for commercial use (MIT), and can be downloaded from Hugging Face directly.
- FastDepth: Fast Monocular Depth Estimation on Embedded Systems [TX2]