best_AI_papers_2022
caer
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best_AI_papers_2022 | caer | |
---|---|---|
21 | 8 | |
3,201 | 749 | |
- | - | |
3.6 | 0.0 | |
6 months ago | 7 months ago | |
Python | ||
MIT License | MIT License |
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best_AI_papers_2022
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What are the most important papers on AI that you would recommend?
Nonetheless, here's something I vaguely recall glancing over (a collection of one person's opinion on the most significant papers of 2022). https://github.com/louisfb01/best_AI_papers_2022
- [R][P] A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.
- A curated list of the latest breakthroughs in AI in 2022 with video demo, article, and code [work in progress]
caer
- Show HN: Caer – A lightweight GPU-accelerated Vision library in Python
- I wrote a lightweight GPU-accelerated Vision library in Python
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Jetson nano python3 illegal instruction problem
I think it may have. If you look at line 10 of https://github.com/jasmcaus/caer/blob/master/configs.ini, you’ll see that caer has numpy and opencv-contrib-python dependencies that get referenced in its setup.py. If I recall correctly, pip on the nano doesn’t pick up the default numpy and opencv-python system installs, so when you go to install something like caer that has them as dependencies, it will install new copies except the wheel files that it grabs are incompatible. The solution I have found to work is to run something similar to the command above: “pip3 install —no-binary caer —no-binary numpy—no-binary opencv-contrib-python —no-binary typing-extensions —no-binary mypy —force-reinstall caer”. Some of those —no-binary options may not be necessary but they’ll at least ensure pip grabs the source for each of the dependencies and rebuilds it locally rather than using an imcompatible version. This command will take awhile! But you only should have to do it once.
- jasmcaus/caer Modern Computer Vision on the Fly
- Caer: High-performance Vision Library in Python (faster than Torchvision)
- Caer – A GPU-accelerated Computer Vision library (faster than Torchvision)
- jasmcaus/caer lightweight, scalable Computer Vision library for high-performance AI research
- Caer – A GPU-Accelerated Computer Vision Library in Python
What are some alternatives?
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fiftyone - The open-source tool for building high-quality datasets and computer vision models
best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
top-10-cv-papers-2021 - A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference.
opencv - Haskell binding to OpenCV-3.x
exploring-AI-optimization - Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
AltStore-Beginners-Guide - An un-official guide to installing AltStore.
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