awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
Ret2Me avatar

Ret2Me/IoT-Owl

0
View on GitHub↗
9 stars·2 forks·Python·GPL-3.0·1 view

IoT Owl

IoT owl is light face detection and recognition system made for small IoT devices like raspberry pi.

Features

  • Computer Vision - Lightweight face recognition system optimized for IoT devices.

Star history

Star history chart for ret2me/iot-owlStar history chart for ret2me/iot-owl

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Open-source alternatives to IoT Owl

Similar open-source projects, ranked by how many features they share with IoT Owl.
  • achaiah/pywickachaiah avatar

    achaiah/pywick

    400View on GitHub↗

    High-level batteries-included neural network training library for Pytorch

    Python
    View on GitHub↗400
  • ailab-cvc/yolo-worldAILab-CVC avatar

    AILab-CVC/YOLO-World

    6,425View on GitHub↗

    YOLO-World is a vision-language framework and open-vocabulary object detection model. It identifies objects in images and video based on free-form text prompts without requiring predefined category labels. The system enables the identification of arbitrary objects by fusing image features with text embeddings. It includes a specialized tool for automated image labeling, which generates bounding box annotations for custom datasets using text-based prompts. The project provides a deployment pipeline for converting models into quantized ONNX and TFLite formats, supporting real-time inference on

    Python
    View on GitHub↗6,425
  • airctic/icevisionA

    airctic/icevision

    0View on GitHub↗
    View on GitHub↗0
  • 1adrianb/face-alignment1adrianb avatar

    1adrianb/face-alignment

    7,518View on GitHub↗

    This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a facial landmark detector and reconstruction tool, utilizing deep learning to identify precise geometric points on human faces from image datasets. The library allows for the selection of specific detection backends to balance accuracy and processing speed. It supports the integration of precomputed bounding box files, which enables the system to bypass the initial detection phase and proceed directly to landmark extraction. The toolkit includes capabilities for batch image p

    Python
    View on GitHub↗7,518
See all 30 alternatives to IoT Owl→

Frequently asked questions

What does ret2me/iot-owl do?

IoT owl is light face detection and recognition system made for small IoT devices like raspberry pi.

What are the main features of ret2me/iot-owl?

The main features of ret2me/iot-owl are: Computer Vision.

What are some open-source alternatives to ret2me/iot-owl?

Open-source alternatives to ret2me/iot-owl include: achaiah/pywick — High-level batteries-included neural network training library for Pytorch. ailab-cvc/yolo-world — YOLO-World is a vision-language framework and open-vocabulary object detection model. It identifies objects in images… airctic/icevision. alankbi/detecto — Build fully-functioning computer vision models with PyTorch. albu/albumentations — Albumentations is an image augmentation library and computer vision preprocessing tool designed to expand datasets for… 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a…