data_juicer.ops.mapper.imgdiff_difference_area_generator_mapper module¶
- data_juicer.ops.mapper.imgdiff_difference_area_generator_mapper.compare_text_index(text1, text2)[source]¶
- data_juicer.ops.mapper.imgdiff_difference_area_generator_mapper.iou_filter(samples, iou_thresh)[source]¶
- class data_juicer.ops.mapper.imgdiff_difference_area_generator_mapper.Difference_Area_Generator_Mapper(image_pair_similarity_filter_args: Dict | None = {}, image_segment_mapper_args: Dict | None = {}, image_text_matching_filter_args: Dict | None = {}, *args, **kwargs)[source]¶
Bases:
MapperA fused operator for OPs that is used to run sequential OPs on the same batch to allow fine-grained control on data processing.
- __init__(image_pair_similarity_filter_args: Dict | None = {}, image_segment_mapper_args: Dict | None = {}, image_text_matching_filter_args: Dict | None = {}, *args, **kwargs)[source]¶
Initialization.
- Parameters:
image_pair_similarity_filter_args – Arguments for image pair similarity filter. Controls the similarity filtering between image pairs. Default empty dict will use fixed values: min_score_1=0.1, max_score_1=1.0, min_score_2=0.1, max_score_2=1.0, hf_clip=”openai/clip-vit-base-patch32”, num_proc=1.
image_segment_mapper_args – Arguments for image segmentation mapper. Controls the image segmentation process. Default empty dict will use fixed values: imgsz=1024, conf=0.05, iou=0.5, model_path=”FastSAM-x.pt”.
image_text_matching_filter_args – Arguments for image-text matching filter. Controls the matching between cropped image regions and text descriptions. Default empty dict will use fixed values: min_score=0.1, max_score=1.0, hf_blip=”Salesforce/blip-itm-base-coco”, num_proc=1.