DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning (by ialhashim)
monodepth2
[ICCV 2019] Monocular depth estimation from a single image (by nianticlabs)
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| DenseDepth | monodepth2 | |
|---|---|---|
| 5 | 6 | |
| 1,533 | 3,974 | |
| - | 1.5% | |
| 0.0 | 0.0 | |
| over 1 year ago | 7 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | 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.
DenseDepth
Posts with mentions or reviews of DenseDepth.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-25.
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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!
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Turn your photo into Christmas ball. A bas-relief, not a lithophany, so no internal lightning is needed! My free programs 'Amazing STL Creator' are only at Prusa Printables
Instead of just doing grayscale for depth, you should consider using “monocular depth estimation” that actually tries to reconstruct a depth map from an RGB image. There are a variety of open-source libs available like this one.
- alô meus programadores do r/brasil preciso de uma ajuda...
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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)
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MiDaS - Monocular Depth Estimation -- Includes an Optimized Model for ROS
Others model implemented like github.com/ialhashim/DenseDepth have constraints on input (I think only 4:3 is one of them, if I remember correctly)
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.
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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)
What are some alternatives?
When comparing DenseDepth and monodepth2 you can also consider the following projects:
MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
packnet-sfm - TRI-ML Monocular Depth Estimation Repository
ZoeDepth - Metric depth estimation from a single image
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
analytics-zoo - Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
glasses - High-quality Neural Networks for Computer Vision 😎
height_estimation - Estimate objects' heights in Street View images
depth-estimate-gui - Depth Estimate GUI - Windows, Mac, Linux
DenseDepth vs MiDaS
monodepth2 vs packnet-sfm
DenseDepth vs ZoeDepth
monodepth2 vs cs231n
DenseDepth vs Deep-Learning-Push-Up-Counter
monodepth2 vs torchdyn
DenseDepth vs LFattNet
monodepth2 vs ZoeDepth
DenseDepth vs analytics-zoo
monodepth2 vs glasses
DenseDepth vs height_estimation
monodepth2 vs depth-estimate-gui