May 2021
Intermediate to advanced content level Intermediate to advanced
338 pages
7h 44m
English
Associated rolesThe MobileNet model can detect all kinds of different trucks. You could solve this problem by going through the list of identifiable trucks, or you can simply search for the word truck in the given list of class names. For simplicity, the provided answer did the latter.
The entire solution with HTML and JavaScript is here:
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,<!DOCTYPE html>
<html
>
<head
>
<script
src=
"https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.7.0/dist/tf.min.js"
>
</script>
<script
src=
"https://cdn.jsdelivr.net/npm/@tensorflow-models/mobilenet@1.0.0"
>
</script>
<script
>
mobilenet
.
load
(
)
.
then
(
model
=
>
{
const
img
=
document
.
getElementById
(
'myImage'
)
;
// Classify the image
model
.
classify
(
img
)
.
then
(
predictions
=
>
{
console
.
log
(
'Predictions: '
,
predictions
)
;
// Was there a truck?
let
foundATruck
predictions
.
forEach
(
p
=
>
{
foundATruck
=
foundATruck
||
p
.
className
.
includes
(
"truck"
)
}
)
// TRUCK ALERT!
if
(
foundATruck
)
alert
(
"TRUCK DETECTED!"
)
}
)
;
}
)
;
</script>
</head>
<body
>
<h1
>
Is this a truck?
</h1>
<img
id=
"myImage"
src=
"truck.jpg"
width=
"100%"
>
</img> ...
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