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lines changed Original file line number Diff line number Diff line change 1+ # Tensorflow with MobileNet
2+
3+ - [ tfjs] ( https://github.com/tensorflow/tfjs )
4+ - [ MobileNet] ( https://github.com/tensorflow/tfjs-models/tree/master/mobilenet )
Original file line number Diff line number Diff line change 1+ <!DOCTYPE html>
2+ < html >
3+ < head >
4+ < meta charset ="utf-8 " />
5+ < title > MobileNet Introduction</ title >
6+ <!-- Import tensorflow dependencies -->
7+ < script
8+ src ="https://unpkg.com/@tensorflow/tfjs "
9+ type ="text/javascript "
10+ > </ script >
11+ < script
12+ src ="https://unpkg.com/@tensorflow-models/mobilenet "
13+ type ="text/javascript "
14+ > </ script >
15+ </ head >
16+ < body >
17+ < h1 > MobileNet with TensorFlow.js</ h1 >
18+ < h2 id ="message "> Detecting image…</ h2 >
19+ < img
20+ id ="image "
21+ crossorigin
22+ src ="https://images.unsplash.com/photo-1473496169904-658ba7c44d8a?ixlib=rb-1.2.1&auto=format&fit=crop&w=1950&q=80 "
23+ />
24+ < script >
25+ // Step 1: Load the model
26+ mobilenet . load ( ) . then ( ( net ) => {
27+ const targetImage = document . getElementById ( 'image' ) ;
28+ const targetText = document . getElementById ( 'message' ) ;
29+
30+ // Step 2: Classify the image
31+ net . classify ( targetImage ) . then ( ( result ) => {
32+ targetText . innerText = `
33+ Detected: ${ result [ 0 ] . className }
34+ Probability: ${ result [ 0 ] . probability }
35+ ` ;
36+ } ) ;
37+ } ) ;
38+ </ script >
39+ </ body >
40+ </ html >
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