Kornia
rules
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| Kornia | rules | |
|---|---|---|
| 11 | 1 | |
| 9,364 | 1,106 | |
| 2.5% | - | |
| 9.4 | 0.0 | |
| 7 days ago | over 1 year ago | |
| Python | JavaScript | |
| Apache License 2.0 | MIT License |
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.
Kornia
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[News] Kornia 0.6.6: ParametrizedLine API, load_image support for Apple Windows Developer, integration demos with Hugging Face and many more.
👉 https://github.com/kornia/kornia/releases/tag/v0.6.6
- [P] Kornia: Differential Computer Vision
- Kornia: Differential Computer Vision
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Hacker News top posts: May 10, 2022
Kornia: Differential Computer Vision\ (3 comments)
- Preprocessing for NN on GPU
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Top 5 Python libraries for Computer vision
Kornia - Kornia is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions.
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[D] CPU choice for machine learning server (Epyc vs. Threadripper)
Between "not being sure yet" about GPU operations in pre-processing and choosing high-end CPUs, I think you are overthinking the wrong alternative. Besides DALI, check whether you are using codecs besides nvidia/torchvision-supported jpeg and png, and if other GPU CV libraries meet your needs: torchvision kornia
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[P] Using PyTorch + NumPy? A bug that plagues thousands of open-source ML projects.
Use kornia.augmentation where this problem is solved doing the augmentations in batch outside the dataloader. https://github.com/kornia/kornia
rules
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SpaCy v3.0 Released (Python Natural Language Processing)
Currently https://github.com/nilp0inter/experta but https://github.com/noxdafox/clipspy seems nice, I just shied away from using it due to uneasiness about FFI and debugging, even though the original CLIPS is still awesome and has a very interesting manual.
There's also https://github.com/jruizgit/rules but haven't tried it yet.
What are some alternatives?
OpenCV - Open Source Computer Vision Library
json-rules-engine - A rules engine expressed in JSON
Face Recognition - The world's simplest facial recognition api for Python and the command line
duckling - Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
projects - 🪐 End-to-end NLP workflows from prototype to production
SimpleCV - The Open Source Framework for Machine Vision
laserembeddings - LASER multilingual sentence embeddings as a pip package
multi-object-tracker - Multi-object trackers in Python
syntaxdot - Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
gaps - A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:
BLINK - Entity Linker solution