DenseDepth
LFattNet
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| DenseDepth | LFattNet | |
|---|---|---|
| 5 | 1 | |
| 1,533 | 53 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 3 years ago | |
| Jupyter Notebook | Python | |
| 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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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)
LFattNet
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"
attention-is-all-you-need-pytorch - A PyTorch implementation of the Transformer model in "Attention is All You Need".
monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
ZoeDepth - Metric depth estimation from a single image
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
analytics-zoo - Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
long-range-arena - Long Range Arena for Benchmarking Efficient Transformers
height_estimation - Estimate objects' heights in Street View images
scenic - Scenic: A Jax Library for Computer Vision Research and Beyond