NEURAL NETWORK IS BUILD BY CHAINING MANY DIFFERENT CONVOLUTION FILTERS TO PROCESS EACH PICTURE -NAMED CONVOLUTION - TO FINALLY PROVIDE AT THE END ONE ONLY VECTOR.
CONVOLUTION CAN CHANGE PICTURE SIZE OR APPLY FILTERS.data:image/png;base64,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:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAhAAAAIQCAYAAADQAFeJAAAXcElEQVR4Xu3WoREAMAwDsXj/pTPDcxU3RGfwO48AAQIECBAgEAUW//tOgAABAgQIEDgBYQQECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQICAgbIECAAAECBLKAgMhkDggQIECAAAEBYQMECBAgQIBAFhAQmcwBAQIECBAgICBsgAABAgQIEMgCAiKTOSBAgAABAgQEhA0QIECAAAECWUBAZDIHBAgQIECAgICwAQIECBAgQCALCIhM5oAAAQIECBAQEDZAgAABAgQIZAEBkckcECBAgAABAgLCBggQIECAAIEsICAymQMCBAgQIEBAQNgAAQIECBAgkAUERCZzQIAAAQIECAgIGyBAgAABAgSygIDIZA4IECBAgAABAWEDBAgQIECAQBYQEJnMAQECBAgQICAgbIAAAQIECBDIAgIikzkgQIAAAQIEBIQNECBAgAABAllAQGQyBwQIECBAgICAsAECBAgQIEAgCwiITOaAAAECBAgQEBA2QIAAAQIECGQBAZHJHBAgQIAAAQICwgYIECBAgACBLCAgMpkDAgQIECBAQEDYAAECBAgQIJAFBEQmc0CAAAECBAgICBsgQIAAAQIEsoCAyGQOCBAgQIAAAQFhAwQIECBAgEAWEBCZzAEBAgQIECAgIGyAAAECBAgQyAICIpM5IECAAAECBASEDRAgQIAAAQJZQEBkMgcECBAgQICAgLABAgQIECBAIAsIiEzmgAABAgQIEBAQNkCAAAECBAhkAQGRyRwQIECAAAECAsIGCBAgQIAAgSwgIDKZAwIECBAgQEBA2AABAgQIECCQBQREJnNAgAABAgQIPNJwAhEJJqMjAAAAAElFTkSuQmCCDON'T FORGET TO SET ON TURBO MODE AND JIT COMPILER (Shift + Right click)finXL66sumThis chapter show how filters are used to apply changes to a picture. By using many filters jointly specific features of input picture are proressevely identifieda1unfold a matrix made with COGRID to give a listypncnlreports a list of all pixels in the given costume. Each pixel is represented by a 4-item sublist of RGBA valuespixelsname
pixels
width
heightwidthheightcostume var i,
pixels = [],
src = costume.contents.getContext('2d').getImageData(
0,
0,
costume.width(),
costume.height()
);
for (i = 0; i < src.data.length; i += 4) {
pixels.push(new List([
src.data[i],
src.data[i + 1],
src.data[i + 2],
src.data[i + 3]
]));
}
return new List(pixels);overwrite the pixels in the given costume with another list of pixels.
Caution! This operation directly changes the costume. Make sure to use a copy in case you would like to revert changes later.reports the sprite's actual current costume, which may or may not be part of its wardrobe e.g. if it is a copyxyhsclpa3045033.8ni,200no,66selsz,66last,39397nelem,4356deb,202difll,600fsz,3lisar-1,0,1,-1,0,1,-1,,1Blur91,1,1,1,1,1,1,1,1Edge detect93,9,-3,-3,21,-3,0,9,0Sharpen91,1,1,1,1,1,1,1,1Darken60,0,0,0,6,0,0,0,0Lighten90,0,0,0,12,0,0,0,0Line detection1-1,-1,-1,-1,8,-1,-1,-1,-1V lines12,-1,-1,-1,2,-1,-1,-1,2Sharpen Int 1-1,-1,-1,-1,9,-1,-1,-1,-1