modules.vangogh package¶

modules.vangogh.vangogh(img: numpy.ndarray, area: List[int] = None, face: bool = False, batch_size: int = 10000, blur_size: int = 3, stroke_length_range: List[int] = [2, 8], stroke_angle: int = 90, stroke_start_angle: int = 0, stroke_end_angle: int = 360, stroke_scale_divider: int = 1000) → numpy.ndarray¶

Applies the vangogh filter to given image. This filter is about simulating kind of brush strokes based on image color palette with different configuration parameters.

Parameters

• img (ImageType) – A numpy array representing an Image

• area (List[int]) – img area (x, y, w, h) to apply the filter, defaults to None

• face (bool) – If True filter is applied to img face area (if exists), defaults to False

• batch_size (int) – not so useful, defaults to 10000

• blur_size (int) – Gaussian Blur kernel size, defaults to 3

• stroke_length_range (List[int]) – [min, max] range for strokes length, defaults to [2, 8]

• stroke_angle (int) – Whole strokes rotation angle, defaults to 90

• stroke_start_angle (int) – Strokes start angle, defaults to 0

• stroke_end_angle (int) – Strokes end angle, defaults to 360

• stroke_scale_divider (int) – [description], defaults to 1000

Return ImageType

Resulting image

Return type

ImageType