hybrid_vision 0.0.1

Apply computer vision algorithms to perform a variety of tasks on input images and video.

hybrid_vision

Apply computer vision algorithms to perform a variety of tasks on input images and video.

Overview

The Vision framework performs face and face landmark detection, text detection, barcode recognition, image registration, and general feature tracking. Vision also allows the use of custom Core ML models for tasks like classification or object detection.

Notice: This plugin use MLKit on Android, Vision on iOS and macOS.

Getting Started

Add hybrid_vision as a dependency in your pubspec.yaml file.

dependencies:
  hybrid_vision: ^<latest-version>

Or, run this command in your project folder.

flutter pub add hybrid_vision

Features

Feature	Android	iOS	macOS
Face and face landmark detection
Text detection
Barcode detection	🙆	🙆	🙆
Image registration
General feature tracking
Custom Core ML models

Topics

Barcode Detection

The supported barcode formats are listed here, but some formats are only supported on higher version iOS and macOS, you should check the apple's document to ensure the formats you want to use is available.

Format	Android	iOS	macOS
Aztec	🙆	🙆	🙆
Codabar	🙆	🙆 15.0+	🙆 12.0+
Code 128	🙆	🙆	🙆
Code 39	🙆	🙆	🙆
Code 93	🙆	🙆	🙆
Data Matrix	🙆	🙆	🙆
EAN-13	🙆	🙆	🙆
EAN-8	🙆	🙆	🙆
GS1 DataBar		🙆 15.0+	🙆 12.0+
ITF	🙆	🙆	🙆
Modified Plessey		🙆 17.0+	🙆 14.0+
PDF417	🙆	🙆	🙆
QR Code	🙆	🙆	🙆
UPC-A	🙆	🙆	🙆
UPC-E	🙆	🙆	🙆

Check the example to see how to use the corresponding API.