data_juicer.ops.filter.image_shape_filter module

class data_juicer.ops.filter.image_shape_filter.ImageShapeFilter(min_width: int = 1, max_width: int = 9223372036854775807, min_height: int = 1, max_height: int = 9223372036854775807, any_or_all: str = 'any', *args, **kwargs)

Bases: Filter

Filter to keep samples with image shape (w, h) within specific ranges.

__init__(min_width: int = 1, max_width: int = 9223372036854775807, min_height: int = 1, max_height: int = 9223372036854775807, any_or_all: str = 'any', *args, **kwargs)

Initialization method.

Parameters:

• min_width – The min width to keep samples.

• max_width – The max width to keep samples.

• min_height – The min height to keep samples.

• max_height – The max height to keep samples.

• any_or_all – keep this sample with ‘any’ or ‘all’ strategy of all images. ‘any’: keep this sample if any images meet the condition. ‘all’: keep this sample only if all images meet the condition.

• args – extra args

• kwargs – extra args

compute_stats_single(sample, context=False)

Compute stats for the sample which is used as a metric to decide whether to filter this sample.

Parameters:

• sample – input sample.

• context – whether to store context information of intermediate vars in the sample temporarily.

Returns:

sample with computed stats

process_single(sample)

For sample level, sample –> Boolean.

Parameters:

sample – sample to decide whether to filter

Returns:

true for keeping and false for filtering