Aurora Focus and Deep Learning Editor are directly connected and require compatible versions.
Click to add new images to the editor.
Click to add a new image and mark it as Good or Bad.
Images imported and marked as Good are indicated with a green checkmark.
Observe the
Training Parameters
to understand the complexity and downscaling of the model. Both contribute to the training time and the working time of the model.
Model Complexity - as density increases, the precision of the heatmap data visualization also increases, which in turn increases execution time.
Image Downscaling - each level reduces the width and height of the image by a factor of 2.
Go to Using Pro Mode to understand how to use advanced parameters.
After the settings are configured, click to start training the model.
If the Deep Learning Editor is being run for the first time, the first click launches the Deep Learning Service, and the second starts generating the model.
to add new images to the editor.
to add a new image and mark it as Good or Bad.
to start training the model.
