Vision

Offline image labeling

• +5000 Labels
• Offline
• Pre-train AI Model
• Support PNG, JPEG, JPG and GIF
• Powered by TFLite

Why was this plugin written?

The strength of this plugin is tagging photos on the device without communicating with anything outside the user's device. Well, the conclusion is that the most important issue for all of us is privacy. Initially, this plugin started with this vision, but it focuses on three main themes. Speed, accuracy and privacy security

What you need ?

In this example you need add Imager picker plugin

How to use Vision?

Simply

// Vision plugin
final vision = Vision();
// image_picker plugin
final ImagePicker picker = ImagePicker();
// Initial vision
var initialed = await _vision.initial();
// If successfully initialed, then you can use image labeling codes
if (initialed){
  // Run Image labeling code's
}

Image labeling code's

String jsonLabels = await _vision.runModelOnByteArray(uint8list, /** you can change confidence (Important) **/ 0.3);

here maybe you need convert bytes to uint8list for e.g. code

also you can get bytes from file image by using
var bytes = await _fileImage.readAsBytes();
var uint8list = Uint8List.fromList(bytes.toList())

Then run Image labeling code ...

_vision.runModelOnByteArray is return json string items when confidence > 0.3, e.g.

[
  {
    "index": 567,
    "confidence": 0.7956880331039429,
    "label": "/m/01gq53",
    "description": "Performance"
  },
  {
    "index": 2629,
    "confidence": 0.7695709466934204,
    "label": "/m/04_5hy",
    "description": "Stage"
  },
  {
    "index": 3131,
    "confidence": 0.6444675326347351,
    "label": "/m/05qjc",
    "description": "Performing arts"
  },
  {
    "index": 1613,
    "confidence": 0.583440899848938,
    "label": "/m/02jjt",
    "description": "Entertainment"
  },
  {
    "index": 643,
    "confidence": 0.5553570985794067,
    "label": "/m/01jddz",
    "description": "Concert"
  },
  {
    "index": 3361,
    "confidence": 0.49405911564826965,
    "label": "/m/06mg_j",
    "description": "Rock concert"
  },
  {
    "index": 2990,
    "confidence": 0.32111555337905884,
    "label": "/m/0557q",
    "description": "Musical theatre"
  }
]

you can convert it to

List<Map<String, dynamic>>

by usin below code

var labels = List<Map<String, dynamic>>.from(json.decode(jsonLabels));

Are you confused ?

**See here **

add this line of import to first of dart file

import 'dart:convert';
import 'dart:typed_data';
import 'dart:async';
import 'dart:developer' as dev;

import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';

import 'package:flutter/services.dart';
import 'package:image_picker/image_picker.dart';
import 'package:vision/vision.dart';

now, use below code, just this.

final _vision = Vision();
final ImagePicker picker = ImagePicker();
try {
  var initialed = await _vision.initial();
  if(initialed){
    final XFile? image = await picker.pickImage(source: ImageSource.gallery);
    if (image != null){
      var bytes = await image.readAsBytes();
      String jsonLabels = await _vision.runModelOnByteArray(Uint8List.fromList(bytes.toList()), 0.3);
      var labels = List<Map<String, dynamic>>.from(json.decode(jsonLabels));
      if (kDebugMode){
        dev.log(labels.toString());
      }
    }
  }
} on PlatformException {
  if (kDebugMode){
    print('Failed to initial');
  }
}

Enjoy :)

Created with ❤️🍰☕ at Sensifai