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).
// 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)
<Result> = AIDetectModel(<Model> , <Image>)
<Result>: Array of array
Array of matrices containing the result of the execution of the model.
<Model>: aiNeuralNetworkModel variable
Name of the iaNeuronNetworkModel variable describing the characteristics of the neural network used.
<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.
- The supported neural network models are: caffe, tensorflow y darknet.
- The model must be trained (weights are known).
- The expected extensions according to the models are:
- Caffe: *.prototxt
- Tensorflow: *.pbtxt
- Darknet: *.cfg
- Caffe: *.caffemodel
- Tensorflow: *.pb
- Darknet: *.weights
Business / UI classification: Business Logic