opendr
Kornia
| opendr | Kornia | |
|---|---|---|
| 3 | 11 | |
| 606 | 9,395 | |
| 1.6% | 1.8% | |
| 8.6 | 9.4 | |
| 2 months ago | 5 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
opendr
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[D] Version 2.1 of the Open Deep Learning Toolkit for Robotics is already available!
You can download the toolkit here: - GitHub: https://github.com/opendr-eu/opendr - pip: https://pypi.org/project/opendr-toolkit/ - Docker Hub: https://hub.docker.com/r/opendr/opendr-toolkit/tags
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[D] The Open Deep Learning Toolkit for Robotics v2.0 was just released
You can download the toolkit through GitHub, pip, and Docker Hub!
You can download it here: https://github.com/opendr-eu/opendr
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
What are some alternatives?
dreamerv2 - Mastering Atari with Discrete World Models
OpenCV - Open Source Computer Vision Library
dreamer - Dream to Control: Learning Behaviors by Latent Imagination
Face Recognition - The world's simplest facial recognition api for Python and the command line
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
tapnet - Tracking Any Point (TAP)
SimpleCV - The Open Source Framework for Machine Vision
multi-object-tracker - Multi-object trackers in Python
gaps - A Genetic Algorithm-Based Solver for Jigsaw Puzzles :cyclone:
tesserocr - A Python wrapper for the tesseract-ocr API
pytesseract - A Python wrapper for Google Tesseract