deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 (by udacity)
monodepth2
[ICCV 2019] Monocular depth estimation from a single image (by nianticlabs)
| deep-learning-v2-pytorch | monodepth2 | |
|---|---|---|
| 1 | 6 | |
| 5,176 | 3,977 | |
| 0.5% | 0.5% | |
| 0.0 | 0.0 | |
| 10 months ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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.
deep-learning-v2-pytorch
Posts with mentions or reviews of deep-learning-v2-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects.
-
how can i activate the cells in this github
in this link deep-learning-v2-pytorch/StudentAdmissions.ipynb at master · udacity/deep-learning-v2-pytorch · GitHub
monodepth2
Posts with mentions or reviews of monodepth2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-24.
- 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?
When comparing deep-learning-v2-pytorch and monodepth2 you can also consider the following projects:
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.
packnet-sfm - TRI-ML Monocular Depth Estimation Repository
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
glasses - High-quality Neural Networks for Computer Vision 😎
ZoeDepth - Metric depth estimation from a single image
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
deep-learning-v2-pytorch vs cs231n
monodepth2 vs DenseDepth
deep-learning-v2-pytorch vs stable-diffusion-reference-only
monodepth2 vs packnet-sfm
deep-learning-v2-pytorch vs torchdyn
monodepth2 vs cs231n
deep-learning-v2-pytorch vs hyperlearn
monodepth2 vs torchdyn
deep-learning-v2-pytorch vs glasses
monodepth2 vs ZoeDepth
deep-learning-v2-pytorch vs gan-vae-pretrained-pytorch
monodepth2 vs glasses