cs231n
monodepth2
| cs231n | monodepth2 | |
|---|---|---|
| 1 | 6 | |
| 42 | 3,977 | |
| - | 0.5% | |
| 0.0 | 0.0 | |
| over 2 years ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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.
cs231n
-
Assignment solutions for Stanford CS231n-Spring 2021
Here's the link to my Repo.
monodepth2
- Calculation of an absolute depth map from multiple images or videos.
-
Easy to train a monocular (self) supervised depth estimation model?
I've used monodepth2 before and it's great: https://github.com/nianticlabs/monodepth2
-
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.
-
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).
-
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)
What are some alternatives?
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
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
packnet-sfm - TRI-ML Monocular Depth Estimation Repository
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.
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
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]
ZoeDepth - Metric depth estimation from a single image
deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
glasses - High-quality Neural Networks for Computer Vision 😎
DeepLearning - Contains all my works, references for deep learning
depth-estimate-gui - Depth Estimate GUI - Windows, Mac, Linux