DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning (by ialhashim)
height_estimation
Estimate objects' heights in Street View images (by cc-ai)
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| DenseDepth | height_estimation | |
|---|---|---|
| 5 | 1 | |
| 1,533 | 4 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 4 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | GNU Lesser General Public License v3.0 only |
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)
height_estimation
Posts with mentions or reviews of height_estimation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-17.
What are some alternatives?
When comparing DenseDepth and height_estimation 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"
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
ZoeDepth - Metric depth estimation from a single image
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
analytics-zoo - Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
PyTorchStepByStep - Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"