opencv-rust
Ray
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opencv-rust | Ray | |
---|---|---|
14 | 42 | |
1,753 | 30,474 | |
- | 2.9% | |
9.1 | 10.0 | |
10 days ago | 7 days ago | |
Rust | Python | |
MIT License | 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.
opencv-rust
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Is it necessary to rebuild everything ?
https://github.com/twistedfall/opencv-rust makes it evident that they do try to support using a prebuild system-opencv. Maybe it is not correctly recognized?
- Nannou – An open-source creative-coding framework for Rust
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A Rust client library for interacting with Microsoft Airsim https://github.com/Sollimann/airsim-client
opencv
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Hi there I would like to know how to use camera in rust like opencv in python to use camera?
There is an OpenCV bindings crate. This example might be what you're after https://github.com/twistedfall/opencv-rust/blob/master/examples/video_capture.rs
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After more than 30 years, why is there is no standardized package manager for c/c++ projects to avoid build systems hell.
For example, this is the build script of the opencv bindings: https://github.com/twistedfall/opencv-rust/blob/master/build.rs
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Perfect Docker Images for Rust with Nix
I’m trying to get around a known build issue—it would be great for it to be fixed upstream, but I don’t have any control over it except for setting OUT_DIR during its compilation.
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Request for porters, think about the end user a little more :C
I've been using https://github.com/twistedfall/opencv-rust a lot lately and it's really fantastic, they've done a great job matching up with how C++ works, so there are definitely good examples out there.
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Crates for Logitech webcams
I never tried it, but the OpenCV bindings might work.
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Rust OpenCV - Simple Guide
I thought it was going to be unsafe because of how Mat is implemented (more information here). ... I tested it and it should be fine memory-wise. My thought was that the code below was going to be allowed to compile.
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Hey Rustaceans! Got an easy question? Ask here (10/2021)!
I added opencv-rust as a dependency to a project. It makes my builds and even cargo check s really slow. It seems to invoke the build.rs script every time even when just type checking. Is this intentional? Is there any way to avoid this?
Ray
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Open Source Advent Fun Wraps Up!
22. Ray | Github | tutorial
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TransformerXL + PPO Baseline + MemoryGym
RLlib
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Elixir Livebook now as a desktop app
I've wondered whether it's easier to add data analyst stuff to Elixir that Python seems to have, or add features to Python that Erlang (and by extension Elixir) provides out of the box.
By what I can see, if you want multiprocessing on Python in an easier way (let's say running async), you have to use something like ray core[0], then if you want multiple machines you need redis(?). Elixir/Erlang supports this out of the box.
Explorer[1] is an interesting approach, where it uses Rust via Rustler (Elixir library to call Rust code) and uses Polars as its dataframe library. I think Rustler needs to be reworked for this usecase, as it can be slow to return data. I made initial improvements which drastically improves encoding (https://github.com/elixir-nx/explorer/pull/282 and https://github.com/elixir-nx/explorer/pull/286, tldr 20+ seconds down to 3).
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preprocessing millions of records - how to speed up the processing
Dask, Ray(ray.io), or pyspark(if you have a cluster)
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3% of 666 Python codebases we checked had a silently failing unit test
https://github.com/ansible-community/ara/pull/358 https://github.com/b12io/orchestra/pull/830 https://github.com/batiste/django-page-cms/pull/210 https://github.com/carpentries/amy/pull/2130 https://github.com/celery/django-celery/pull/612 https://github.com/django-cms/django-cms/pull/7241 https://github.com/django-oscar/django-oscar/pull/3867 https://github.com/esrg-knights/Squire/pull/253https://github.com/Frojd/django-react-templatetags/pull/64 https://github.com/groveco/django-sql-explorer/pull/474 https://github.com/jazzband/django-silk/pull/550 https://github.com/keras-team/keras/pull/16073 https://github.com/ministryofjustice/cla_backend/pull/773 https://github.com/nitely/Spirit/pull/306 https://github.com/python/pythondotorg/pull/1987 https://github.com/rapidpro/rapidpro/pull/1610 https://github.com/ray-project/ray/pull/22396 https://github.com/saltstack/salt/pull/61647 https://github.com/Swiss-Polar-Institute/project-application/pull/483 https://github.com/UEWBot/dipvis/pull/216
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Rust OpenCV - Simple Guide
I'd really want use Rust+OpenCV instead of Python+OpenCV to process a lot of images (xxxxxx pieces on a central NAS). I would want to do it by also splitting the work over multiple worker nodes for speed. Unfortunately, I've so far not had the time to figure this out... Meanwhile, a Rust API for Ray is being worked on! https://github.com/ray-project/ray/issues/20609
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Blazer - HPC python library for MPI workflows
ray.io doesn't support MPI natively. And thus is not "supercomputer" friendly. Blazer runs on MPI which runs across the NUMA (non-unified memory architecture) setup of a supercomputer. The compute interconnect is 100's of times faster than network remoting, which ray.io uses.
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JORLDY: OpenSource Reinforcement Learning Framework
Distributed RL algorithms are provided using ray
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Python stands to lose its GIL, and gain a lot of speed
I had a similar use case and ended up using ray. https://github.com/ray-project/ray
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How to deploy a rllib-trained model?
Currently, rllib's "--export-formats" does nothing; I have folders of checkpoints, but no models. Looks like currently the internal export_model function isn't implemented: https://github.com/ray-project/ray/issues/19021
What are some alternatives?
optuna - A hyperparameter optimization framework
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Faust - Python Stream Processing
gevent - Coroutine-based concurrency library for Python
image - Encoding and decoding images in Rust
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
SCOOP (Scalable COncurrent Operations in Python) - SCOOP (Scalable COncurrent Operations in Python)
Thespian Actor Library - Python Actor concurrency library
imageproc - An advanced image processing library for Rust.
Dask - Parallel computing with task scheduling
django-celery - Old Celery integration project for Django
imageproc (PistonDevelopers) - Image processing operations