Simd

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Simd is an open-source C++ image processing and machine learning library that provides high-performance algorithms. It leverages SIMD CPU extensions like SSE, AVX, and NEON for optimized image scaling, object detection, and neural network operations.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Simd?

Simd is a free, open-source C++ image processing and machine learning library designed for C and C++ programmers. It offers a wide array of high-performance algorithms, including pixel format conversion, image scaling and filtration, statistical information extraction, motion detection, object detection, classification, and neural network functionalities. The library is highly optimized, utilizing various SIMD CPU extensions such as SSE, AVX, AVX-512, and AMX for x86/x64, NEON for ARM, and HVX for Hexagon architectures. Simd provides both a C API and C++ classes for ease of access, supporting dynamic and static linking across Windows and Linux with MSVS, G++, and Clang compilers. It also includes a Python wrapper for broader accessibility.

Best used for

Ideal for C and C++ programmers who need to implement high-performance image processing and machine learning algorithms, such as pixel format conversion, image scaling, and object detection. Especially valuable for optimizing computer vision and AI tasks across various CPU architectures using SIMD extensions.

Common actions

process images

develop machine learning

optimize algorithms

detect objects

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Capabilities

Key features

Image processing algorithms
Machine learning algorithms
SIMD CPU optimization
C and C++ API
Python wrapper
Object detection
Neural network support

Target Audience

developersmachine learning engineerscomputer vision engineers

Integrations

opencv

Pricing & Plans

Open Source

Free

FAQs

What SIMD CPU extensions does Simd support?

Simd supports a wide range of SIMD CPU extensions to optimize performance. These include SSE, AVX, AVX-512, and AMX for x86/x64 architectures, NEON for ARM processors, and HVX for Hexagon platforms, ensuring broad compatibility and high efficiency.

Can Simd be used with Python?

Yes, Simd provides a Python wrapper, located in the `simd/py/SimdPy/` directory. This allows Python developers to leverage the high-performance image processing and machine learning capabilities of the Simd library within their Python projects.

How does Simd interact with OpenCV?

Simd allows for mutual conversion between its own types and OpenCV types, such as `cv::Point` to `Simd::Point` or `cv::Mat` to `Simd::View`. To enable this, you simply need to define the `SIMD_OPENCV_ENABLE` macro before including Simd headers.

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AI Agents & Automation › AI Frameworks & Infra Content & Design › Image Generation Content & Design › Photo Editing

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