monodepth2
cs231n
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| monodepth2 | cs231n | |
|---|---|---|
| 6 | 1 | |
| 3,974 | 42 | |
| 1.5% | - | |
| 0.0 | 0.0 | |
| 7 months ago | over 2 years 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)
cs231n
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Assignment solutions for Stanford CS231n-Spring 2021
Here's the link to my Repo.
What are some alternatives?
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
packnet-sfm - TRI-ML Monocular Depth Estimation Repository
stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
ZoeDepth - Metric depth estimation from a single image
stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]
glasses - High-quality Neural Networks for Computer Vision 😎
deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
depth-estimate-gui - Depth Estimate GUI - Windows, Mac, Linux
DeepLearning - Contains all my works, references for deep learning