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  • Properties specific to the description of aiNeuralNetworkModel variables
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Stored procedures
aiNeuralNetworkModel (Type of variable)
In french: iaModèleRéseauDeNeurones
The aiNeuralNetworkModel type is used to define all the advanced characteristics of a neural network used by AIDetectModel. The characteristics of this neural network can be defined and changed 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
// Image declaration
MyImage is Image
MyImage = IMG_Test
 
// Declare a model
MyAINNModel is aiNeuralNetworkModel
 
MyAINNModel.Configuration = "MyModel.cfg"
MyAINNModel.TrainedWeights = "MyModel.weights.pb"
MyAINNModel.PixelScaleFactor = 1.0
MyAINNModel.XDimension = 300
MyAINNModel.YDimension = 300
 
MyAINNModel.AverageIntensityR = 104
MyAINNModel.AverageIntensityG = 117
MyAINNModel.AverageIntensityB = 113
MyAINNModel.RGBColor = True
 
myMatrixArray is array of 1 array of 1 by 1 by 200 by 7 real
 
// Run model
myMatrixArray = AIDetectModel(MyAINNModel, MyImage)
Remarks

Properties specific to the description of aiNeuralNetworkModel variables

The following properties can be used to handle an neural network model:
Property nameType usedEffect
AverageIntensityBIntegerAverage intensity of the Blue (B) color in the training data.
This property is optional.
AverageIntensityGIntegerAverage intensity of the Green (G) color in the training data.
This property is optional.
AverageIntensityRIntegerAverage intensity of the Red (R) color in the training data.
This property is optional.
ConfigurationCharacter stringFull path of the file that contains the configuration of the model.
Remark: The possible types of configurations are:
  • Caffe: *.prototxt
  • Tensorflow: *.pbtxt
  • Darknet: *.cfg
OutputLayerNameCharacter stringName of the output neural network layer.
PixelScaleFactorRealUsed to scale the pixels of the image. Set to 1.0 by default (no scaling).
RGBColorBoolean
  • 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.
TrainedWeightsCharacter 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
XDimensionIntegerImage size required by the model: X value.
By default, this property corresponds to the width of the image.
YDimensionIntegerImage size required by the model: Y value.
By default, this property corresponds to the height of the image.
Minimum version required
  • Version 27
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