AIDetectModel (Function)

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AIDetectModel (Function)

In french: IAModèleDétecte

Runs a trained neural network model on an image. This function allows you to use artificial intelligence to detect objects in an image.

Caution: This function is an advanced function. To use this function, it is recommended to read the documentation of the neural network used (specifics, expected results and interpretation).

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

// Caution: the X and Y dimensions depend on the model. 
// If the specified dimensions do not match the model,
// AIDetectModel returns an error. 
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)

Syntax

<Result> = AIDetectModel(<Model> , <Image>)

<Result>: Array of array

Array of matrices containing the result of the execution of the model.
This array is specific to each model and must be known by the developer.

<Model>: aiNeuralNetworkModel variable

Name of the aiNeuralNetworkModel variable describing the characteristics of the neural network used.
Caution: The different characteristics of this variable are specific to each model and must be known by the developer.

<Image>: String, Image or Image control

Image to be analyzed. The image can correspond to:
a variable of type Image,
the name and path of the image,
the name and path of a PDF file,
an Image memo item,
an Image control.

Remarks

The AI engine used by AIDetectModel is OpenCV. This engine reads the AI models and executes them.
The supported neural network models are:
- caffe,
- tensorflow,
- darknet,
- onnx
The model must be trained (weights are known).
The expected extensions according to the models are:
- Configuration:
  - Caffe: *.prototxt
  - Tensorflow: *.pbtxt
  - Darknet: *.cfg
- Weights:
  - Caffe: *.caffemodel
  - Tensorflow: *.pb
  - Darknet: *.weights
  - Open Neural Network Exchange (ONNX): *.onnx

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