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today i used the blob detection in p3 and now all of the sudden im getting this msg, why ? also i KNOW ofr a dam fact i downloaded the Video library and now is not there and when i try to download again i get this msg saying "Could not move contribution to backup folder" and aside from that SketchMapper says that theres a update but dont let me update when i hit update so it downloaded a library that i cant even use on p3 so WHY let me download something i cant use? i hit remove and it dont remove the library, im just about done with p3 for real this is garbage way toooooo many bad things for a so call upgrade if you ask me i mean you dont even have the OpenCV library com'on now !
ERROR:
video does not run on this architecture: 64
processing.app.SketchException: video is only compatible with the 32-bit download of Processing.
at processing.mode.java.runner.Runner.<init>(Runner.java:107)
video does not run on this architecture: 64 at processing.mode.java.JavaMode.handleLaunch(JavaMode.java:155)
at processing.mode.java.JavaEditor$36.run(JavaEditor.java:1099)
at java.lang.Thread.run(Thread.java:745)
processing.app.SketchException: video is only compatible with the 32-bit download of Processing.
at processing.mode.java.runner.Runner.<init>(Runner.java:107)
at processing.mode.java.JavaMode.handleLaunch(JavaMode.java:155)
at processing.mode.java.JavaEditor$36.run(JavaEditor.java:1099)
at java.lang.Thread.run(Thread.java:745)
// - Super Fast Blur v1.1 by Mario Klingemann <http://incubator.quasimondo.com>
// - BlobDetection library
import processing.video.*;
import blobDetection.*;
Capture cam;
BlobDetection theBlobDetection;
PImage img;
boolean newFrame=false;
// ==================================================
// setup()
// ==================================================
void setup()
{
// Size of applet
size(640, 480);
// Capture
cam = new Capture(this,width,height, "USB2.0 Camera");
// Comment the following line if you use Processing 1.5
cam.start();
// BlobDetection
// img which will be sent to detection (a smaller copy of the cam frame);
img = new PImage(80,60);
theBlobDetection = new BlobDetection(img.width, img.height);
theBlobDetection.setPosDiscrimination(true);
theBlobDetection.setThreshold(0.2f); // will detect bright areas whose luminosity > 0.2f;
}
// ==================================================
// captureEvent()
// ==================================================
void captureEvent(Capture cam)
{
cam.read();
newFrame = true;
}
// ==================================================
// draw()
// ==================================================
void draw()
{
if (newFrame)
{
newFrame=false;
image(cam,0,0,width,height);
img.copy(cam, 0, 0, cam.width, cam.height,
0, 0, img.width, img.height);
fastblur(img, 2);
theBlobDetection.computeBlobs(img.pixels);
drawBlobsAndEdges(true,true);
}
}
// ==================================================
// drawBlobsAndEdges()
// ==================================================
void drawBlobsAndEdges(boolean drawBlobs, boolean drawEdges)
{
noFill();
Blob b;
EdgeVertex eA,eB;
for (int n=0 ; n<theBlobDetection.getBlobNb() ; n++)
{
b=theBlobDetection.getBlob(n);
if (b!=null)
{
// Edges
if (drawEdges)
{
strokeWeight(3);
stroke(0,255,0);
for (int m=0;m<b.getEdgeNb();m++)
{
eA = b.getEdgeVertexA(m);
eB = b.getEdgeVertexB(m);
if (eA !=null && eB !=null)
line(
eA.x*width, eA.y*height,
eB.x*width, eB.y*height
);
}
}
// Blobs
if (drawBlobs)
{
strokeWeight(1);
stroke(255,0,0);
rect(
b.xMin*width,b.yMin*height,
b.w*width,b.h*height
);
}
}
}
}
// ==================================================
// Super Fast Blur v1.1
// by Mario Klingemann
// <http://incubator.quasimondo.com>
// ==================================================
void fastblur(PImage img,int radius)
{
if (radius<1){
return;
}
int w=img.width;
int h=img.height;
int wm=w-1;
int hm=h-1;
int wh=w*h;
int div=radius+radius+1;
int r[]=new int[wh];
int g[]=new int[wh];
int b[]=new int[wh];
int rsum,gsum,bsum,x,y,i,p,p1,p2,yp,yi,yw;
int vmin[] = new int[max(w,h)];
int vmax[] = new int[max(w,h)];
int[] pix=img.pixels;
int dv[]=new int[256*div];
for (i=0;i<256*div;i++){
dv[i]=(i/div);
}
yw=yi=0;
for (y=0;y<h;y++){
rsum=gsum=bsum=0;
for(i=-radius;i<=radius;i++){
p=pix[yi+min(wm,max(i,0))];
rsum+=(p & 0xff0000)>>16;
gsum+=(p & 0x00ff00)>>8;
bsum+= p & 0x0000ff;
}
for (x=0;x<w;x++){
r[yi]=dv[rsum];
g[yi]=dv[gsum];
b[yi]=dv[bsum];
if(y==0){
vmin[x]=min(x+radius+1,wm);
vmax[x]=max(x-radius,0);
}
p1=pix[yw+vmin[x]];
p2=pix[yw+vmax[x]];
rsum+=((p1 & 0xff0000)-(p2 & 0xff0000))>>16;
gsum+=((p1 & 0x00ff00)-(p2 & 0x00ff00))>>8;
bsum+= (p1 & 0x0000ff)-(p2 & 0x0000ff);
yi++;
}
yw+=w;
}
for (x=0;x<w;x++){
rsum=gsum=bsum=0;
yp=-radius*w;
for(i=-radius;i<=radius;i++){
yi=max(0,yp)+x;
rsum+=r[yi];
gsum+=g[yi];
bsum+=b[yi];
yp+=w;
}
yi=x;
for (y=0;y<h;y++){
pix[yi]=0xff000000 | (dv[rsum]<<16) | (dv[gsum]<<8) | dv[bsum];
if(x==0){
vmin[y]=min(y+radius+1,hm)*w;
vmax[y]=max(y-radius,0)*w;
}
p1=x+vmin[y];
p2=x+vmax[y];
rsum+=r[p1]-r[p2];
gsum+=g[p1]-g[p2];
bsum+=b[p1]-b[p2];
yi+=w;
}
}
}
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