monodepth2
ZoeDepth
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| monodepth2 | ZoeDepth | |
|---|---|---|
| 6 | 4 | |
| 3,974 | 1,939 | |
| 1.5% | 9.4% | |
| 0.0 | 2.5 | |
| 7 months ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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monodepth2
- Calculation of an absolute depth map from multiple images or videos.
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Easy to train a monocular (self) supervised depth estimation model?
I've used monodepth2 before and it's great: https://github.com/nianticlabs/monodepth2
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Sources: Pixel 6 Pro was supposed to launch with face unlock
How can a single camera do that? My experience with computer vision is fairly limited so I'm curious how that would work. My understanding is you need to be able to generate a point map, stereo vision, or some non-CV related method , e.g. radar like the pixel 4. 2D depth estimation can be done with a single camera in somewhat useful way but it's not a secure way (https://github.com/nianticlabs/monodepth2 -- now somewhat similar functionality in OpenCV). Can you expand on what AI the single camera is being combined with that provides security guarantees?
- Can anyone explain the following github code to me. Also it’s my first time using GitHub so I’m completely lost.
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Estimating camera height, orientation and field of view from a single monocular image.
I suspect you may have the best success by using monocular depth approaches (for example something like this: https://github.com/nianticlabs/monodepth2).
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Looking for a fast monocular depth estimation library to use in a Rust project.
After that I have to do the same for Python I think, and then I have to find out how to figure out how to use a library like https://github.com/ialhashim/DenseDepth or https://github.com/nianticlabs/monodepth2 for that GStreamer plugin (or element, still trying to grasp the terminology here)
ZoeDepth
- Software 3D scanner. Free on Prusa Printables
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🚀 Deep Learning for Deep Objects: ZoeDepth is an AI Model for Multi-Domain Depth Estimation
Quick Read: https://www.marktechpost.com/2023/03/03/deep-learning-for-deep-objects-zoedepth-is-an-ai-model-for-multi-domain-depth-estimation/ Paper: https://arxiv.org/pdf/2302.12288.pdf Github: https://github.com/isl-org/ZoeDepth
- Testing ControlNet on Unreal Engine 5
- ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
What are some alternatives?
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
packnet-sfm - TRI-ML Monocular Depth Estimation Repository
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Online3DViewer - A solution to visualize and explore 3D models in your browser.
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Depth-Anything - [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
glasses - High-quality Neural Networks for Computer Vision 😎
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
depth-estimate-gui - Depth Estimate GUI - Windows, Mac, Linux
AdaBins - Official implementation of Adabins: Depth Estimation using adaptive bins