DeepLearning
monodepth2
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DeepLearning | monodepth2 | |
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1 | 6 | |
3 | 3,969 | |
- | 1.4% | |
0.0 | 0.0 | |
almost 2 years ago | 7 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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DeepLearning
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Help with my PyTorch implementation of PPO
I implemented PPO using PyTorch here. As is suggested, I was trying it on very simple environment (CartPole-v1).
monodepth2
- 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?
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
packnet-sfm - TRI-ML Monocular Depth Estimation Repository
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Deep-Learning-Experiments - Videos, notes and experiments to understand deep learning
ZoeDepth - Metric depth estimation from a single image
weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights
glasses - High-quality Neural Networks for Computer Vision 😎