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- Properties specific to aiImageResult variables
aiImageResult (Variable type) In french: iaRésultatImage
The aiImageResult type is used to retrieve the result of AIDetect. Note: For more details on the declaration of this type of variable and the use of WLanguage properties, see Declaring a variable. tabElément is array of 1 int
tabElément[1] = aidMotorbike
tabIARésultatImage is array of aiImageResult
tabIARésultatImage = AIDetect(IMG_SansNom1, tabElément)
IF tabIARésultatImage.Count = 0 THEN RETURN
iImage is Image = IMG_SansNom1
dStartDrawing(iImage, dNoErase + dWithOpacity)
InitRandom(1)
nMarge is int = CoordinateEditorToScreen(5)
cCouleur is Color
nIndice is int
iElement is aiImageResult
FOR EACH ELEMENT iElement OF tabIARésultatImage
nIndice ++
cCouleur.Red = Random(0,170)
cCouleur.Green = Random(0,170)
cCouleur.Blue = Random(0,170)
dBackground(iImage, White, 0, 0, 0)
dPen(iImage, cCouleur, 0, CoordinateEditorToScreen(5), 128)
dPolygon(iImage,iElement.Polygon)
nXCentre is int
nYCentre is int
IF iElement.Polygon.Point[1].X < iElement.Polygon.Point[2].X THEN
nXCentre = (iElement.Polygon.Point[1].X + iElement.Polygon.Point[2].X)/2
nYCentre = (iElement.Polygon.Point[1].Y + iElement.Polygon.Point[3].Y)/2
ELSE
nXCentre = (iElement.Polygon.Point[1].X + iElement.Polygon.Point[4].X)/2
nYCentre = (iElement.Polygon.Point[1].Y + iElement.Polygon.Point[2].Y)/2
END
dPen(iImage, cCouleur, 0, 2, 200)
dBackground(iImage, White, 0, 0, 200)
dRectangle(iImage, nXCentre - nMarge, nYCentre - nMarge, nXCentre + nMarge, nYCentre + nMarge)
dPen(iImage, cCouleur, 0, 1, 255)
END
IMG_SansNom1 = iImage
Properties Properties specific to aiImageResult variables The following properties can be used to handle the result of object detection in an image: | | | | Property name | Type used | Effect |
|---|
| aidElementType | Integer constant | Constant corresponding to the detected object: - iadAvion: Aircraft in the image.
- iadBalloon: Balloon in the picture.
- iadBanana: Banana in the image.
- iadBanc: Bench in the picture.
- iadBateau: Boat in the picture.
- iadBaseballBat: Baseball bat in the picture.
- iadBol: Bowl in the picture.
- iadFire hydrant: Fire hydrant in the picture.
- iadBouteille: Bottle in the picture.
- iadBrocoli: Broccoli in the picture.
- iadBrushADents: Toothbrush in the picture.
- iadBus: Bus present in the image.
- iadCamion: Truck in the picture.
- iadCanapé: Sofa in the picture.
- iadCarotte: Carrot in the picture.
- iadCircle: Circle (constant used for drawing detection).
- iadCerfVolant: Flying deer in the picture.
- iadChaise: Chair in the picture.
- iadChat: Cat in the picture.
- iadHorse Horse in image.
- iadChien: Dog in the picture.
- iadScissors Scissors present in the image.
- iad keyboard: Keyboard shown in image.
- iadCouteau: Knife in the picture.
- iadCravate: Tie present in the picture.
- iadSpoon: Spoon in the picture.
- iadDonut: Donut in the picture.
- iadEcranTélé: TV screen in the image.
- iadElephant: Elephant in the picture.
- iadEvier: Sink in the picture.
- iadRedLight Red light in the image.
- iadFour: Furnace in the picture.
- iadFork: Fork in the image.
- iadFrisbee: Frisbee in the picture.
- iadGantBaseball: Baseball glove in the picture.
- iadGâteau: Cake in the picture.
- iadGirafe: Giraffe in the picture.
- iadGrillePain: Bread grid in the image.
- iadHorloge: Clock in the picture.
- iadHotdog: Hotdog in the picture.
- iadLit: Bed present in the image.
- iadBookBook in image.
- iadMicroOndes: Micro wave present in the image.
- iadMoto: Motorcycle in the picture.
- iadSheep: Sheep in the picture.
- iadBird: Bird in the picture.
- iadOrange: Orange in the picture.
- iadLaptop: Laptop in the picture.
- iadOurs: Bear in the picture.
- iadOursEnPeluche: Teddy bear in the picture.
- iadStopPanel: Stop panel in the image.
- iadUmbrella: Umbrella in the picture.
- iadParcmeter: Parcmeter in the picture.
- iadPerson: Person in the picture.
- iadPizza: Pizza in the image.
- iadSurfBoard: Surfboard in the image.
- iadPlanteEnPot: Potted plant in the picture.
- iadPlateImmatriculation: Plate
- iadPomme: Apple in the image.
- iadTennisRacket: Tennis racket in the picture.
- iadRectangle: Rectangle (constant used for drawing detection).
- iadRefrigerator: Refrigerator in the picture.
- iadSacADos: Backpack in the picture.
- iadSacAMain: Handbag in the picture.
- iadSandwich: Sandwich in the image.
- iadHairdryer Hair dryer in the picture.
- iadSkateboard: Skateboard in the picture.
- iadSki: Ski in the picture.
- iadSnowboard: Snowboard in the picture.
- iadMouse Mouse present in image.
- iadTableAManger: Dining table in the picture.
- iadTasse: Cup in the picture.
- iadRemote control Remote control present in the image.
- iadMobile phone: Mobile phone in the picture.
- iadToilet: Toilet in the picture.
- iadTrain: Train in the picture.
- iadTriangle: Triangle (constant used for drawing detection).
- iadVache: Cow in the picture.
- iadSuitcase Suitcase present in the image.
- iadVase: Vase in the picture.
- iadVélo: Bike in the picture.
- iadVerreDeVin: Glass of wine in the image.
- iadVisage: Face in the image.
- iadVoiture: Car in the picture.
- iadZebra: Zebra in the picture.
| | ConfidenceLevel | Real | Object detection confidence score, from 0 to 100. In version 27, this parameter was an integer. | | Polygon | Polygon variable | Polygon that corresponds to the points surrounding the detected element. |
Related Examples:
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Training (WINDEV): WD Object Detection
[ + ] This example shows how to use AIDetect.
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