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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).
MonImage is Image
MonImage = IMG_Test
MonIAModèleRN is aiNeuralNetworkModel
MonIAModèleRN.Configuration = "MonModel.cfg"
MonIAModèleRN.TrainedWeights = "MonModel.weights.pb"
MonIAModèleRN.PixelScaleFactor = 1.0
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
montabMatrice = AIDetectModel(MonIAModèleRN, MonImage)
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,
New in version 2024onnx
- 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
New in version 2024Open Neural Network Exchange (ONNX): *.onnx
Business / UI classification: Business Logic
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