MIRGGI

MIRGGI

MIRGGI is an open-source computer vision library for building machine learning models that can detect, recognize, and analyze digital images and videos. It provides pre-trained models and datasets as well as tools to train custom models.
MIRGGI image
opensource machine-learning computer-vision image-recognition video-analysis

MIRGGI: Open-Source Computer Vision Library

MIRGGI is an open-source computer vision library for building machine learning models that can detect, recognize, and analyze digital images and videos. It provides pre-trained models and datasets as well as tools to train custom models.

What is MIRGGI?

MIRGGI is an open-source computer vision library that provides tools and capabilities for building machine learning models that can understand and analyze visual content. It is optimized for production-scale deployment of computer vision models and applications.

Some of the key features and capabilities of MIRGGI include:

  • Pre-trained models for image classification, object detection, image segmentation, pose estimation, and more using state-of-the-art architectures like convolutional neural networks.
  • Standard datasets and benchmarks for model training and evaluation.
  • Model training scripts and tools for customizing models to new data and tasks.
  • Model conversion and optimization tools to deploy on edge devices and mobile apps.
  • Modular design allowing easy integration of new datasets, models, and algorithms.
  • CPU and GPU acceleration for fast model training and inference.

MIRGGI simplifies the process of building computer vision capabilities into applications. With MIRGGI, developers can train and deploy customized models without needing deep expertise in computer vision or machine learning. It provides the tools needed to quickly iterate and enhance vision models to meet specific application requirements.

MIRGGI Features

Features

  1. Real-time object detection
  2. Face recognition
  3. Image classification
  4. Pre-trained models
  5. Custom model training
  6. Multi-GPU support
  7. Python API

Pricing

  • Open Source

Pros

Open source

Pre-trained models available

Active community support

Well documented

Modular design

Cross-platform

Cons

Steep learning curve

Requires coding skills

Not as user friendly as commercial alternatives

Limited pre-built tools and widgets


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