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///////////////////////////
// Your API to work with //
///////////////////////////
abstract sclass GameForAI {
abstract RGBImage getImage();
abstract L submit(Pt point); // returns correct solution so AI can learn from it
}
abstract sclass AI {
// stuff you get
GameForAI game;
RGBImage image;
int steps;
RGBImage image() { ret image; }
int w() { ret image.w(); }
int h() { ret image.h(); }
L submit(Pt p) { ret game.submit(p); }
L submit(Rect r) { ret submit(middleOfRect(r)); }
L submitNothing() { ret game.submit(null); }
// implement this method and call submit()
abstract void go();
void done() {}
}
//////////////////////////////////////
// Test AIs. Just add your own here //
//////////////////////////////////////
AI > ClickAnyNumberAI {
void go {
submit(random(autoSegment(image;
}
}
AI > Homos {
static ImageSurface is;
void go {
L solution = submitNothing();
if (l(solution) == 2)
is = showImage(is, "Homos!", mergeImagesHorizontally(rgbClips(image, solution)));
}
}
AI > Heteros {
static ImageSurface is;
void go {
L solution = submitNothing();
if (l(solution) == 1) {
L myRects = autoSegment(image);
Rect sol = autoCropOfRGBImage(image, first(solution));
myRects = dropRectsIntersectingWith(myRects, sol);
if (l(myRects) == 1)
is = showImage(is, "Heteros!", mergeImagesHorizontally(rgbClips(image, concatLists(ll(sol), myRects)));
}
}
}
AI > AnalyzeFeatureExtractor {
O extractor; // func(RGBImage) -> anything comparable with eq()
int ok;
*() {
extractor = func(RGBImage img) { rgbMD5(img) };
}
void go {
L solution = submitNothing();
Analysis analysis = analyzePair(image, solution);
if (analysis == null) ret;
bool same = eq(
pcallF(extractor, first(analysis.images)),
pcallF(extractor, second(analysis.images)));
if (same == !analysis.hetero) ++ok;
}
void done() {
print("OK: " + ok + " of " + steps);
}
}
AI > AnalyzeCategorizer {
new ImageCategorizer cat;
int ok;
ImageSurface is;
RGBImage simplifyImage(RGBImage img) {
ret new Image2B(img).toRGB();
}
void go {
L solution = submitNothing();
Analysis analysis = analyzePair(image, solution);
if (analysis == null) ret;
int n = cat.numCategories();
int i = cat.addImage(simplifyImage(first(analysis.images)));
int j = cat.addImage(simplifyImage(second(analysis.images)));
if ((i == j) == !analysis.hetero) ++ok;
if (cat.numCategories() > 10) {
cat.allowedDistance += 0.01f;
print("Got 11 categories after " + steps + " rounds. Upping allowed distance to: " + cat.allowedDistance);
cat.clear();
steps = ok = 0;
} else if (cat.numCategories() > n)
is = showImage(is, "Categories!", mergeImagesHorizontally(cat.images));
}
void done() {
print("OK: " + ok + " of " + steps + ", categories: " + cat.numCategories() + " (should probably be 10)");
}
}
sclass Analysis {
bool hetero;
L images;
*() {}
*(bool *hetero, L *images) {}
}
static Analysis analyzePair(RGBImage image, L solution) {
if (l(solution) == 2)
ret new Analysis(false, rgbClips(image, rgbAutoCropRects(image, solution)));
if (l(solution) == 1) {
L myRects = autoSegment(image);
Rect sol = autoCropOfRGBImage(image, first(solution));
myRects = dropRectsIntersectingWith(myRects, sol);
if (l(myRects) == 1)
ret new Analysis(true, rgbClips(image, concatLists(ll(sol), myRects)));
}
null; // no insights today
}
///////////////
// Main Game //
///////////////
static int w = 150, h = 150;
static int border = 10, fontSize = 30;
static int rounds = 1000, numbers = 2;
static S font = #1004887;
static bool alwaysNewImage = true; // prevents AIs being stuck on an image
static int fps = 50;
static int points, clicks;
static ImageSurface is;
static RGBImage img;
static new HashMap words;
static L solution;
volatile sbool aiMode;
static JLabel lblScore, lblTiming;
static new HashMap ais;
p-substance {
nextImage();
addToWindow(is, withMargin(lblScore = jcenteredBoldLabel("Your score: 0 of 0")));
for (final Class c : myNonAbstractClassesImplementing(AI)) {
final S name = shortClassName(c);
final JButton btn = jbutton("Run " + name);
onClick(btn, r {
if (aiMode) ret;
btn.setText(name + " Running...");
thread {
Game game = testAI(c, voidfunc(Game game) {
if ((game.step % 10) == 0 || game.step == rounds) {
S text = name + " scored " + game.points + " of " + game.step;
if (game.error != null)
text += " - ERROR: " + game.error;
setText_noWait(btn, text);
}
});
}
});
addToWindow(is, withMargin(btn));
}
addToWindow(is, lblTiming = jCenteredLabel(;
titlePopupMenuItem(is, "Restart AIs", r { ais.clear() });
packFrame(is);
setFrameWidth(is, 300);
centerTopFrame(is);
//hideConsole();
}
svoid nextImage {
RGBImage img = rgbImage(Color.white, w, h);
words.clear();
for i to numbers: {
int num = random(10);
S s = str(num);
RGB color = new RGB(random(0.5), random(0.5), random(0.5));
renderText_fg.set(color.getColor());
BufferedImage ti = renderText(font, fontSize, s);
Rect r;
do {
r = randomRect(w, h, border, ti.getWidth(), ti.getHeight());
if (r == null) fail("Image too small: \*ti.getWidth()*/*\*ti.getHeight()*/ > \*w*/*\*h*/");
} while (anyRectOverlaps(keys(words), r) && licensed());
rgbCopy(ti, img, r.x, r.y);
words.put(r, num);
}
solution = keysWithBiggestValue(words);
main.img = img;
if (aiMode) ret; // occasional updates only when AI is running
showTheImage();
}
svoid showTheImage {
bool first = is == null;
is = showImage_centered(is, img, "Click On The Highest Number!");
if (first) {
onLeftClick(is, voidfunc(Pt p) {
++clicks;
if (anyRectContains(solution, p)) {
++points;
nextImage();
} else if (alwaysNewImage) nextImage();
lblScore.setText(print("Your score: " + points + " of " + clicks));
});
disableImageSurfaceSelector(is);
// animate if idle
awtEvery(is, 1000, r {
if (!aiMode && isInForeground(is) && !mouseInComponent(is))
nextImage();
});
// show current image occasionally when AI is running
awtEvery(is, 1000/fps, r {
if (aiMode) showTheImage();
});
}
}
// AI stuff
sclass Game extends GameForAI {
int points, step;
bool submitted;
Throwable error;
RGBImage getImage() { ret img; }
L submit(Pt p) {
if (submitted) fail("No multi-submit please");
submitted = true;
if (p != null && anyRectContains(solution, p)) {
++points;
if (!alwaysNewImage) nextImage();
}
ret solution;
}
}
static Game scoreAI(AI ai, long rounds, O onScore) {
aiMode = true;
final long start = sysNow();
try {
new Game game;
setOpt(ai, +game);
while (game.step < rounds) {
++game.step;
++ai.steps;
game.submitted = false;
try {
setOpt(ai, image := img);
ai.go();
} catch e {
if (game.error == null) { // print first error to console
showConsole();
printStackTrace(e);
}
game.error = e;
} finally {
setOpt(ai, image := null);
}
pcallF(onScore, game);
//print("Step " + step + ", move: " + p + ", points: " + game.points);
if (alwaysNewImage) nextImage();
}
print("AI " + shortClassName(ai) + " points after " + rounds + " rounds: " + game.points);
ai.done();
ret game;
} finally {
aiMode = false;
awt {
lblTiming.setText(formatDouble(toSeconds(sysNow()-start), 1) + " s");
nextImage();
}
}
}
static AI getAI(Class c) {
AI ai = ais.get(c);
if (ai == null) ais.put(c, ai = nu(c));
ret ai;
}
// onScore: voidfunc(Game)
static Game testAI(Class c, O onScore) {
ret scoreAI(getAI(c), rounds, onScore);
}