ShortScaleAspectJitter

class mmocr.datasets.transforms.ShortScaleAspectJitter(short_size=736, ratio_range=(0.7, 1.3), aspect_ratio_range=(0.9, 1.1), scale_divisor=1, resize_type='Resize', **resize_kwargs)

First rescale the image for its shorter side to reach the short_size and then jitter its aspect ratio, final rescale the shape guaranteed to be divided by scale_divisor.

Required Keys:

• img

• img_shape

• gt_bboxes (optional)

• gt_polygons (optional)

Modified Keys:

• img

• img_shape

• gt_bboxes (optional)

• gt_polygons (optional)

Added Keys:

• scale

• scale_factor

• keep_ratio

参数

• short_size (int) – Target shorter size before jittering the aspect ratio. Defaults to 736.

• short_size_jitter_range (tuple(float, float)) – Range of the ratio used to jitter the target shorter size. Defaults to (0.7, 1.3).

• aspect_ratio_jitter_range (tuple(float, float)) – Range of the ratio used to jitter its aspect ratio. Defaults to (0.9, 1.1).

• scale_divisor (int) – The scale divisor. Defaults to 1.

• resize_type (str) – The type of resize class to use. Defaults to “Resize”.

• **resize_kwargs – Other keyword arguments for the resize_type.

• ratio_range (Tuple[float, float]) –

• aspect_ratio_range (Tuple[float, float]) –

返回类型

None

transform(results)

Short Scale Aspect Jitter. :param results: Result dict containing the data to transform. :type results: dict

返回

The transformed data.

返回类型

dict

参数

results (Dict) –