-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathtrain.js
108 lines (94 loc) · 2.13 KB
/
train.js
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
let video;
let poseNet;
let pose;
let skeleton;
let brain;
let poseLabel = "";
let state = 'waiting';
let targetLabel;
function setup() {
createCanvas(640, 480);
video = createCapture(VIDEO);
video.hide();
poseNet = ml5.poseNet(video, ()=>console.log("poseNet loaded"));
poseNet.on('pose', gotPoses);
let options = {
inputs: 34,
outputs: 2,
task: 'classification',
debug: true
}
brain = ml5.neuralNetwork(options);
brain.loadData("./data/wp.json", dataReady);
}
function dataReady() {
console.log("data loaded");
brain.normalizeData();
console.log("normalized");
brain.train({
epochs: 50
}, finished);
}
function finished() {
console.log('model trained');
brain.save();
// classifyPose();
}
// function brainLoaded() {
// console.log("loaded pretrained model");
// classifyPose();
// }
function classifyPose() {
if (pose) {
let inputs = [];
for (let i = 0; i < pose.keypoints.length; i++) {
let x = pose.keypoints[i].position.x;
let y = pose.keypoints[i].position.y;
inputs.push(x);
inputs.push(y);
}
brain.classify(inputs, gotResult);
} else {
setTimeout(classifyPose, 100);
}
}
function gotResult(error, results) {
if (results[0].confidence > 0.75) {
poseLabel = results[0].label.toUpperCase();
}
classifyPose();
}
function gotPoses(poses) {
if (poses.length > 0) {
pose = poses[0].pose;
skeleton = poses[0].skeleton;
}
}
function draw() {
push();
translate(video.width, 0);
scale(-1, 1);
image(video, 0, 0, video.width, video.height);
if (pose) {
for (let i = 0; i < skeleton.length; i++) {
let a = skeleton[i][0];
let b = skeleton[i][1];
strokeWeight(2);
stroke(0);
line(a.position.x, a.position.y, b.position.x, b.position.y);
}
for (let i = 0; i < pose.keypoints.length; i++) {
let x = pose.keypoints[i].position.x;
let y = pose.keypoints[i].position.y;
fill(0);
stroke(255);
ellipse(x, y, 16, 16);
}
}
pop();
fill(255, 0, 255);
noStroke();
textSize(512);
textAlign(CENTER, CENTER);
text(poseLabel, width / 2, height / 2);
}