RandomBBoxCrop¶

class dragon.vm.dali.ops.RandomBBoxCrop(
scaling=(0.3, 1.0),
aspect_ratio=(0.5, 2.0),
thresholds=(0.0, 0.1, 0.3, 0.5, 0.7, 0.9),
allow_no_crop=True,
num_attempts=10,
bbox_layout='xyXY',
**kwargs
)[source]¶

Return an valid image crop restricted by bounding boxes.

Examples:

bbox_crop = dali.ops.RandomBBoxCrop(
    # Range of scale
    scaling=[0.3, 1.0],
    # Range of aspect ratio
    aspect_ratio=[0.5, 2.0],
    # Minimum IoUs to satisfy
    thresholds=[0.0, 0.1, 0.3, 0.5, 0.7, 0.9],
)
crop_begin, crop_size, bbox, label = bbox_crop(inputs['bbox'], inputs['label'])

new¶

static RandomBBoxCrop.__new__(
cls,
scaling=(0.3, 1.0),
aspect_ratio=(0.5, 2.0),
thresholds=(0.0, 0.1, 0.3, 0.5, 0.7, 0.9),
allow_no_crop=True,
num_attempts=10,
bbox_layout='xyXY',
**kwargs
)[source]¶

Create a RandomBBoxCrop operator.

Parameters:

scaling (Sequence[float], optional, default=(0.3, 1.0)) – The range of scale for sampling regions.
aspect_ratio (Sequence[float], optional, default=(0.5, 2.0)) – The range of aspect ratio for sampling regions.
thresholds (Sequence[float], optional) – The minimum IoU(s) to satisfy.
allow_no_crop (bool, optional, default=True) – True to include the no-cropping as an option.
num_attempts (int, optional, default=10) – The max number of sampling trails.
bbox_layout (str, optional, default='xyXY') – The optional bbox layout.

Returns:: nvidia.dali.ops.RandomBBoxCrop – The operator.

RandomBBoxCrop¶

__new__¶

new¶