symisc/sod

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1798 stars · 210 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SOD is an embedded, cross-platform computer vision and machine learning library written in C, distributed as a single dependency-free amalgamated file with pre-trained models. It provides real-time object detection, face detection, and over 100 image processing routines optimized for CPU-only and resource-constrained IoT/embedded devices.

Use cases

• detect faces and objects in real time on cpu-only devices
• run object detection on embedded systems or iot devices without gpu
• extract license plates from images
• track eyes and pupils or extract facial landmarks
• apply image filters like gaussian blur, sepia, and edge detection in c
• train custom single-class object detection models
• run computer vision in webassembly

When to choose

• you need dependency-free, single-file C computer vision for embedded or IoT targets
• you want real-time detection on CPU without GPU or heavy frameworks like OpenCV
• you need pre-trained models plus on-device model training in C

When to avoid

• you need GPU-accelerated training of large deep learning models
• you prefer Python-first ecosystems like PyTorch or TensorFlow
• you need a fully open-source license - SOD is dual-licensed with commercial terms
• you need multithreaded CNN inference, which is reserved for the commercial version

Facets

library · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision machine-learning image-processing embedded-systems iot cross-platform c cpp embedded iot wasm windows object-detection face-detection cnn real-time dependency-free single-file pre-trained-models cpu-optimized dual-licensed linux macos

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