aiNeuralNetworkModel (Variable type)

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Ayuda / WLanguage / Funciones WLanguage / Funciones estándar / Funciones de detección de imágenes

Properties specific to aiNeuralNetworkModel variables

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aiNeuralNetworkModel (Variable type)

In french: iaModèleRéseauDeNeurones

The aiNeuralNetworkModel type is used to define all the advanced characteristics of a neural network used by AIDetectModel. You can define and change the characteristics of this neural network using different WLanguage properties.

Remark: For more details on the declaration of this type of variable and the use of WLanguage properties, see Declaring a variable.

Example

// Déclaration de l'image
MonImage is Image
MonImage = IMG_Test

// Déclarer un modèle
MonIAModèleRN is aiNeuralNetworkModel

MonIAModèleRN.Configuration = "MonModel.cfg"
MonIAModèleRN.TrainedWeights = "MonModel.weights.pb"
MonIAModèleRN.PixelScaleFactor = 1.0

// Attention: les dimensions X et Y dépendent du modèle.
// Si les dimensions spécifiées ne correspondent pas au modèle,
// la fonction IAModèleDétecte renverra une erreur.
MonIAModèleRN.XDimension = 300
MonIAModèleRN.YDimension = 300

MonIAModèleRN.AverageIntensityR = 104
MonIAModèleRN.AverageIntensityG = 117
MonIAModèleRN.AverageIntensityB = 113
MonIAModèleRN.RGBColor = True

montabMatrice is array of 1 array of 1 by 1 by 200 by 7 reals

// Exécuter le modèle
montabMatrice = AIDetectModel(MonIAModèleRN, MonImage)

Remarks

Properties specific to aiNeuralNetworkModel variables

The following properties can be used to handle a neural network model:

Property name	Type used	Effect

AverageIntensityB	Integer	Average intensity of Color Blue (B) training data. This property is optional.
AverageIntensityG	Integer	Average intensity of Color Green (V) training data. This property is optional.
AverageIntensityR	Integer	Average intensity of Color Red (R) training data. This property is optional.
Configuration	Character string	Full path of the file that contains the configuration of the model. Remark: The possible types of configurations are: Caffe: .prototxt Tensorflow: .pbtxt Darknet: *.cfg
OutputLayerName	Character string	Name of the output neural network layer.
PixelScaleFactor	Real	Used to scale pixel values. Set to 1.0 by default (no scaling).
New in version 2024 RequiresTransposition	Boolean	if transposition is required, False otherwise. When to use Property The OpenCV engine creates matrices from images by defining them as "DimensionX, DimensionY, Number of chanel".. Some models expect to have a "Nombre de chanel, DimensionX, DimensionY" matrix.. We then need to modify the Image matrix representation in OpenCV.
RGBColor	Boolean	True if the provided images are encoded in RGB. In this case, the conversion to BGR encoding will be done automatically. False (default value) if the provided images are encoded in BGR. This property is optional.
TrainedWeights	Character string	Full path of the file that contains the trained weights of the model. Remark: The possible types of weights are: Caffe: .caffemodel Tensorflow: .pb Darknet: .weights Open Neural Network Exchange (ONNX): .onnx
XDimension	Integer	Image size required by the model: X value. By default, this property corresponds to the width of the image.
YDimension	Integer	Image size required by the model: Y value. By default, this property corresponds to the height of the image.