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CHILD INTELLIGENT ASSESSMENT TOOL
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2020-046
CHILD INTELLIGENT ASSESSMENT TOOL
Commits
d12f6964
Commit
d12f6964
authored
Oct 30, 2020
by
Dasun Madushanka
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update dmt crash
parent
d6dfc560
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MainAppDMT/lib/screens/details/dmt_crash.dart
MainAppDMT/lib/screens/details/dmt_crash.dart
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MainAppDMT/lib/screens/details/dmt_crash.dart
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d12f6964
import
'dart:io'
;
import
'package:DMTI_app/screens/Form/multi_form.dart'
;
import
'package:flutter/material.dart'
;
import
'package:image_picker/image_picker.dart'
;
import
'package:tflite/tflite.dart'
;
class
DMTCrash
extends
StatefulWidget
{
static
const
routeName
=
"dmt_crash"
;
@override
_DMTCrashState
createState
()
=>
_DMTCrashState
();
}
class
_DMTCrashState
extends
State
<
DMTCrash
>
{
List
_outputs
;
File
_image
;
bool
_loading
=
false
;
@override
void
initState
()
{
super
.
initState
();
_loading
=
true
;
loadModel
().
then
((
value
)
{
setState
(()
{
_loading
=
false
;
});
});
}
@override
Widget
build
(
BuildContext
context
)
{
return
Scaffold
(
appBar:
AppBar
(
title:
const
Text
(
'Test Results'
),
actions:
[
FlatButton
(
child:
Text
(
'Next'
),
textColor:
Colors
.
white
,
onPressed:
()
{
Navigator
.
push
(
context
,
MaterialPageRoute
(
builder:
(
context
)
=>
MultiForm
()));
},
)
],
),
body:
_loading
?
Container
(
alignment:
Alignment
.
center
,
child:
CircularProgressIndicator
(),
)
:
Container
(
width:
MediaQuery
.
of
(
context
).
size
.
width
,
child:
Column
(
crossAxisAlignment:
CrossAxisAlignment
.
center
,
mainAxisAlignment:
MainAxisAlignment
.
center
,
children:
[
_image
==
null
?
Container
()
:
Image
.
file
(
_image
),
SizedBox
(
height:
20
,
),
_outputs
!=
null
?
Text
(
"
${_outputs[0]["label"]}
"
,
style:
TextStyle
(
color:
Colors
.
black
,
fontSize:
20.0
,
background:
Paint
()..
color
=
Colors
.
white
,
),
)
:
Container
()
],
),
),
floatingActionButton:
FloatingActionButton
(
onPressed:
pickImage
,
child:
Icon
(
Icons
.
image
),
),
);
}
pickImage
()
async
{
var
image
=
await
ImagePicker
.
pickImage
(
source
:
ImageSource
.
gallery
);
if
(
image
==
null
)
return
null
;
setState
(()
{
_loading
=
true
;
_image
=
image
;
});
classifyImage
(
image
);
}
classifyImage
(
File
image
)
async
{
var
output
=
await
Tflite
.
runModelOnImage
(
path:
image
.
path
,
numResults:
2
,
threshold:
0.5
,
imageMean:
127.5
,
imageStd:
127.5
,
);
setState
(()
{
_loading
=
false
;
_outputs
=
output
;
});
}
loadModel
()
async
{
await
Tflite
.
loadModel
(
model:
"assets/model_unquant.tflite"
,
labels:
"assets/labels.txt"
,
);
}
@override
void
dispose
()
{
Tflite
.
close
();
super
.
dispose
();
}
}
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