rh.dZddlmZmZddlmZmZmZddlm Z m Z m Z ddl m Z mZmZmZmZmZmZmZmZmZmZddlmZmZmZmZej:eZerddl Z Gd d eZ!d gZ"y) z!Image processor class for SigLIP.)OptionalUnion)BaseImageProcessor BatchFeature get_size_dict)convert_to_rgbresizeto_channel_dimension_format) IMAGENET_STANDARD_MEANIMAGENET_STANDARD_STDChannelDimension ImageInputPILImageResamplinginfer_channel_dimension_formatis_scaled_imagemake_flat_list_of_imagesto_numpy_array valid_imagesvalidate_preprocess_arguments) TensorTypefilter_out_non_signature_kwargsis_vision_availableloggingNceZdZdZdgZddej ddddddf dedee e e fded ed e e e fd ed ee e ee fd ee e ee fdeeddffd Zedddddddddej$ddf dedeedee e e fded eed ee d eed ee e ee fd ee e ee fdee e efdeedee e efdeedej,j,fdZxZS)SiglipImageProcessora Constructs a SigLIP image processor. Args: do_resize (`bool`, *optional*, defaults to `True`): Whether to resize the image's (height, width) dimensions to the specified `size`. Can be overridden by `do_resize` in the `preprocess` method. size (`dict[str, int]` *optional*, defaults to `{"height": 224, "width": 224}`): Size of the image after resizing. Can be overridden by `size` in the `preprocess` method. resample (`PILImageResampling`, *optional*, defaults to `Resampling.BICUBIC`): Resampling filter to use if resizing the image. Can be overridden by `resample` in the `preprocess` method. do_rescale (`bool`, *optional*, defaults to `True`): Whether to rescale the image by the specified scale `rescale_factor`. Can be overridden by `do_rescale` in the `preprocess` method. rescale_factor (`int` or `float`, *optional*, defaults to `1/255`): Scale factor to use if rescaling the image. Can be overridden by `rescale_factor` in the `preprocess` method. do_normalize (`bool`, *optional*, defaults to `True`): Whether to normalize the image by the specified mean and standard deviation. Can be overridden by `do_normalize` in the `preprocess` method. image_mean (`float` or `list[float]`, *optional*, defaults to `[0.5, 0.5, 0.5]`): Mean to use if normalizing the image. This is a float or list of floats the length of the number of channels in the image. Can be overridden by the `image_mean` parameter in the `preprocess` method. image_std (`float` or `list[float]`, *optional*, defaults to `[0.5, 0.5, 0.5]`): Standard deviation to use if normalizing the image. This is a float or list of floats the length of the number of channels in the image. Can be overridden by the `image_std` parameter in the `preprocess` method. Can be overridden by the `image_std` parameter in the `preprocess` method. do_convert_rgb (`bool`, *optional*, defaults to `True`): Whether to convert the image to RGB. pixel_valuesTNgp? do_resizesizeresample do_rescalerescale_factor do_normalize image_mean image_stddo_convert_rgbreturnc  t |di| ||nddd}||nt}||nt}||_||_||_||_||_||_ ||_ ||_ | |_ y)N)heightwidth) super__init__r r rrr r!r"r#r$r%r&) selfrrr r!r"r#r$r%r&kwargs __class__s /var/www/html/ai-insurance-compliance-backend/venv/lib/python3.12/site-packages/transformers/models/siglip/image_processing_siglip.pyr.zSiglipImageProcessor.__init__Rs "6"'tc-J#-#9Z?U !*!6Ivay I   NDMEF$U&%8_pqF $ 5Rc dF $U^opF ou ej '{N_ `  '>BBOA=    s$G1G G!*G& G+/G0)__name__ __module__ __qualname____doc__model_input_namesrBICUBICboolrdictstrintrfloatlistr.rrFIRSTrrPILImagerG __classcell__)r1s@r2rr0s=>(()-'9'A'A,3!:>9=)---tCH~&-% -  - c5j) --U5$u+#567-E%e"456-!- -8%&%))-'+%)*.'+:>9=;?2B2H2HDH)-BCBCD>BCtCH~& BC % BC TN BC!BCtnBCU5$u+#567BCE%e"456BC!sJ!78BC./BC$E#/?*?$@ABC!BC BC'BCr3r)#rKtypingrrimage_processing_utilsrrrimage_transformsr r r image_utilsr r rrrrrrrrrutilsrrrr get_loggerrHrCrUr__all__r,r3r2r_su("UU    _^   H %AC-ACH " "r3