Some helper function for drawing

This commit is contained in:
Ruben van de Ven 2020-09-22 08:26:54 +02:00
parent 10ed1de810
commit 377c60ac92
3 changed files with 106 additions and 7 deletions

24
README.ruben.md Normal file
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@ -0,0 +1,24 @@
Gebruik s3cmd om bucket in te stellen.
## Make bucket:
s3cmd mb s3://digitalplayground-p5
## Set the CORS rules
s3cmd -c .s3cfg setcors CORS.xml s3://digitalplayground-p5
## Delete the CORS rules
s3cmd -c .s3cfg delcors s3://digitalplayground-p5
## Get bucket info including CORS rules
s3cmd -c .s3cfg info s3://digitalplayground-p5
# Development
`docker-compose -f docker-compose-development.yml up`
# Deployment
* Push to git (in case linting fails on commit use `git commit --no-verify`)
* Pull on server.
* `service p5.js-web-editor stop`
* `npm run build:server`
* `npm run build:client`
* `service p5.js-web-editor start`

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@ -73,6 +73,7 @@ let faceapi;
var video;
var lastFrame;
var detections = [];
var factor_x, factor_y;
// function pause() {
@ -100,7 +101,7 @@ const detection_options = {
function setup() {
// createCanvas(1280,720, WEBGL);
createCanvas(540,420, WEBGL);
createCanvas(540,420);
smooth();
noFill();
@ -145,7 +146,8 @@ gotResults = function(err, result) {
}
// store data for async draw function
detections = result;
// TODO results to more compatible format
detections = parseDetectionResults(result);
// size of video becomes known only after camera approval
if(lastFrame.width != video.width || lastFrame.height != video.height){
@ -156,6 +158,9 @@ gotResults = function(err, result) {
// lastFrame.background('red');
lastFrame.image(video, 0,0, video.width, video.height);
factor_x = width / video.width;
factor_y = height / video.height;
faceapi.detect(gotResults);
}
@ -200,12 +205,9 @@ function drawLandmarks(detection) {
function drawPart(feature, closed) {
beginShape();
const factor_x = width / video.width;
const factor_y = height / video.height;
for (let i = 0; i < feature.length; i++) {
const x = feature[i]._x *factor_x;
const y = feature[i]._y * factor_y;
const x = feature[i].x;
const y = feature[i].y;
vertex(x, y)
}
@ -234,7 +236,27 @@ var colors = {
function faceDistance(face1, face2){
// distance between faces, in pixels, not meters.. for now
// we cheat a little: take centers, visualise circle with r = max(width, height)
// and find distance between these circles
box1 = (face1.box.x, face1.box.x + face1.box.width)
box2 = (face2.box.x, face2.box.x + face2.box.width)
c1 = {
x: face1.box.x + face1.box.width / 2,
y: face1.box.y + face1.box.height / 2,
}
c2 = {
x: face2.box.x + face2.box.width / 2,
y: face2.box.y + face2.box.height / 2,
}
r1 = Math.max(face1.box.width, face1.box.height) / 2;
r2 = Math.max(face2.box.width, face2.box.height) / 2;
dx = c1.x - c2.x;
dy = c1.y - c2.y;
return Math.sqrt( Math.pow(dx, 2) + Math.pow(dy, 2) ) - r1 - r2;
}
function getBoundingBox(){
@ -247,4 +269,42 @@ function getBoundingBox(){
// width:
// height:
// }
}
function parseDetectionResults(results) {
let detections = [];
for(let result of results) {
const landmarks = result.landmarks._positions.map((pos) => parseCoordinate(pos));
let detection = {
'landmarks': landmarks,
'parts': {},
'box': {
x: result.alignedRect._box._x * factor_x,
y: result.alignedRect._box._y * factor_y,
width: result.alignedRect._box._width * factor_x,
height: result.alignedRect._box._height * factor_y,
}
}
for(let idx in result.parts) {
detection.parts[idx] = result.parts[idx].map((pos) => parseCoordinate(pos));
}
detections.push(detection);
}
return detections;
// result.parts
// result.alignedRect._box
// factor_x, factor_y
}
/**
* face api detector returns coordinates with _x and _y attributes.
* We convert this to the canvas's coordinates
* @param Object {_x: , _y: }
*/
function parseCoordinate(position) {
return {
x: position._x * factor_x,
y: position._y * factor_y,
}
}

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p5.js-web-editor.service Normal file
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[Unit]
Description=p5.js web editor
After=network.target
[Service]
Type=simple
User=YOUR_USER
EnvironmentFile=/home/YOUR_USER/p5.js-web-editor/.env
WorkingDirectory=/home/YOUR_USER/p5.js-web-editor
ExecStart=/usr/bin/npm run start:prod
Restart=on-failure
[Install]
WantedBy=multi-user.target