Takes an image file and a trained SVM model and predicts every pixel of the image.
predict_image(picture, m1, size_threshold = 0, predict_class = "plant", outmask = "outmask/", outoverlay = "outoverlay/")
| picture | filename of image to be analyzed |
|---|---|
| m1 | Trained SVM model from e1071 |
| size_threshold | Minimum size in pixels that a feature must have to be kept |
| predict_class | Name of the class to be predicted. Must match a class name in m1. |
| outmask | Directory name where to save the masks resulting from the pipeline. |
| outoverlay | Directory name where to save the overlay images. |
Size of the found feature