DenseDepth
ZoeDepth
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| DenseDepth | ZoeDepth | |
|---|---|---|
| 5 | 4 | |
| 1,533 | 1,939 | |
| - | 9.4% | |
| 0.0 | 2.5 | |
| over 1 year ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | MIT License |
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DenseDepth
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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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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)
ZoeDepth
- Software 3D scanner. Free on Prusa Printables
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🚀 Deep Learning for Deep Objects: ZoeDepth is an AI Model for Multi-Domain Depth Estimation
Quick Read: https://www.marktechpost.com/2023/03/03/deep-learning-for-deep-objects-zoedepth-is-an-ai-model-for-multi-domain-depth-estimation/ Paper: https://arxiv.org/pdf/2302.12288.pdf Github: https://github.com/isl-org/ZoeDepth
- Testing ControlNet on Unreal Engine 5
- ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
What are some alternatives?
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"
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
Online3DViewer - A solution to visualize and explore 3D models in your browser.
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
Depth-Anything - [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation
analytics-zoo - Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
height_estimation - Estimate objects' heights in Street View images
AdaBins - Official implementation of Adabins: Depth Estimation using adaptive bins