bzip3
Kornia
| bzip3 | Kornia | |
|---|---|---|
| 12 | 11 | |
| 646 | 9,395 | |
| - | 1.8% | |
| 7.1 | 9.4 | |
| 4 months ago | 7 days ago | |
| C | Python | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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.
bzip3
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Bzip2 Format Specification [pdf]
Kamila Szewczyk is working on a bzip3 to improve the state-of-the-art in the domain of compressors based on Burrows-Wheeler:
https://github.com/kspalaiologos/bzip3
Iām keeping fingers crossed for the project. Especially given that the author is 19 and her best work is yet to come.
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In need of crazy compression
bzip3 : https://github.com/kspalaiologos/bzip3
- bzip3: A better and stronger spiritual successor to BZip2.
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There is BZip2 and now BZip3, but what about BZip1?
BZip3 repository.
- GitHub - kspalaiologos/bzip3: A better and stronger spiritual successor to BZip2.
- Bzip3 ā a better and stronger spiritual successor to bzip2
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Hacker News top posts: May 10, 2022
Bzip3 ā a better and stronger spiritual successor to bzip2\ (40 comments)
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.
š 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
What are some alternatives?
zstd - Zstandard - Fast real-time compression algorithm
OpenCV - Open Source Computer Vision Library
LZ4 - Extremely Fast Compression algorithm
Face Recognition - The world's simplest facial recognition api for Python and the command line
brotli - Brotli compression format
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
paq8px - PAQ8PX compression archiver
SimpleCV - The Open Source Framework for Machine Vision
mcm - MCM file compressor
multi-object-tracker - Multi-object trackers in Python
Hacking-F117A - My investigation into mission generation in the Stealth Fighter games by Microprose.
gaps - A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone: