BoHellgren

Future<String> _classifyDog(imglib.Image img) async {
    Uint8List png = imglib.encodePng(img);
    List<VisionLabel> _cloudLabels =
        await labelDetector.detectFromBinary(png, true);
    for (int i = 0; i < _cloudLabels.length; i++) {
      String foundLabel = _cloudLabels[i].label;
      print(foundLabel);
      if (isBreed(foundLabel)) {
        String conf = (_cloudLabels[i].confidence * 100).toStringAsFixed(0);
        print(foundLabel + ' ' + conf);

BoHellgren

Future<Rect> _findDog(CameraImage image) async {
    imglib.Image img = _convertCameraImage(image);
    Uint8List png = imglib.encodePng(img);
    List<VisionLabel> _onDeviceLabels =
        await labelDetector.detectFromBinary(png, false);
    bool foundDog = false;
    for (int i = 0; i < _onDeviceLabels.length; i++) {
      if (_onDeviceLabels[i].label == "Dog") foundDog = true;
    }
    if (foundDog) {

BoHellgren

package se.ndssoft.mini_ml;

import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.graphics.Matrix;

import androidx.annotation.NonNull;

import com.google.android.gms.tasks.OnFailureListener;
import com.google.android.gms.tasks.OnSuccessListener;

BoHellgren

import 'dart:async';
import 'dart:typed_data';
import 'dart:ui';

import 'package:flutter/services.dart';

class MiniMl {
  static const MethodChannel _channel =
      const MethodChannel('plugins.flutter.io/mini_ml');

BoHellgren

import 'package:flutter/material.dart';
import 'package:flutter/services.dart';
import 'package:camera/camera.dart';
import 'package:soundpool/soundpool.dart';
import 'dart:ui' as ui;
import 'dart:typed_data';
import 'package:image/image.dart' as imglib;
import 'package:flutter/foundation.dart';
import 'package:tflite/tflite.dart';
import 'breedinfo.dart';

BoHellgren

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

class BreedInfo extends StatelessWidget {
  final String breed;
  BreedInfo({Key key, @required this.breed});

  @override
  Widget build(BuildContext context) {
    String url = 'https://en.wikipedia.org/wiki/' + breed;

BoHellgren

  Future<String> _classifyDog(imglib.Image croppedImage) async {
    while (_tfliteBusy) await Future.delayed(Duration(milliseconds: 100));
    _tfliteBusy = true;

    Uint8List croppedPng = imglib.encodePng(croppedImage);
    try {
      File(_tempPath).deleteSync();
    } catch (e) {
      print(e);
    }

BoHellgren

class RectPainter extends CustomPainter {
  Map rect;
  RectPainter(this.rect);
  @override
  void paint(Canvas canvas, Size size) {
    if (rect != null) {
      final paint = Paint();
      paint.color = Colors.yellow;
      paint.style = PaintingStyle.stroke;
      paint.strokeWidth = 2.0;

BoHellgren

Future<Map> _findDog(CameraImage image) async {
    List resultList = await Tflite.detectObjectOnFrame(
      bytesList: image.planes.map((plane) {
        return plane.bytes;
      }).toList(),
      model: "SSDMobileNet",
      imageHeight: image.height,
      imageWidth: image.width,
      imageMean: 127.5,
      imageStd: 127.5,

BoHellgren

static imglib.Image _convertCameraImage(CameraImage image) {
    int width = image.width;
    int height = image.height;
    // imglib -> Image package from https://pub.dartlang.org/packages/image
    var img = imglib.Image(width, height); // Create Image buffer
    const int hexFF = 0xFF000000;
    final int uvyButtonStride = image.planes[1].bytesPerRow;
    final int uvPixelStride = image.planes[1].bytesPerPixel;
    for (int x = 0; x < width; x++) {
      for (int y = 0; y < height; y++) {