Train a model

Here you will use the samples previously created to train your model. First you will select the folder in which you have saved your sample in .PLY format, by clicking .

Then you will give a name to your model and select which way to intrepet the point cloud by selectiong between RGB or intensity. Once this is done you will distribute your sample between ''Training set'' and ''validation set''. Take note that for best results the number of ''Validation Set'' used should be at least a third of the sample used in the ''Training Set''.

• Maximum number of epochs : Will define the number of iteration the algorithm will repeat to learn from the sample set. Higher the iteration is repeated better the learning will be but longer the process will be ending.
• Number of batch : This option defines how many sample sets added in the project's breakdown will be used per process iteration higher the number more memory will be used. In the case that you run out of memory, reduce this number. 
• Enable GPU acceleration : If checked, the application will run using NVidia GPU memory instead of CPU.
• GPU id : Select GPU card ID if you have more than one in you computer.

Then when all is set, click on  to start the model training. The model will go directly in the install folder and ready to use for your AI classification by selecting it.