a h @sddlmZmZmZddlZddlmZmZm Z m Z m Z ddl m Z mZe rfddlmZddlmZerxdd lmZe eZeed d Gd d d e ZdS))AnyUnionoverloadN)add_end_docstringsis_torch_availableis_vision_availableloggingrequires_backends)Pipelinebuild_pipeline_init_args)Image) load_image)&MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMEST)Zhas_image_processorcseZdZdZdZdZdZdZfddZddZ e e e dfe dd d d Ze e ee edfe edd d d Ze e ee dedfe e dedfd fd d ZddZdddZddZZS)ImageToImagePipelineao Image to Image pipeline using any `AutoModelForImageToImage`. This pipeline generates an image based on a previous image input. Example: ```python >>> from PIL import Image >>> import requests >>> from transformers import pipeline >>> upscaler = pipeline("image-to-image", model="caidas/swin2SR-classical-sr-x2-64") >>> img = Image.open(requests.get("http://images.cocodataset.org/val2017/000000039769.jpg", stream=True).raw) >>> img = img.resize((64, 64)) >>> upscaled_img = upscaler(img) >>> img.size (64, 64) >>> upscaled_img.size (144, 144) ``` This image to image pipeline can currently be loaded from [`pipeline`] using the following task identifier: `"image-to-image"`. See the list of available models on [huggingface.co/models](https://huggingface.co/models?filter=image-to-image). FTcs*tj|i|t|d|tdS)NZvision)super__init__r Zcheck_model_typer)selfargskwargs __class__a/var/www/html/assistant/venv/lib/python3.9/site-packages/transformers/pipelines/image_to_image.pyrKs zImageToImagePipeline.__init__cKs>i}i}i}d|vr |d|d<d|vr4|d|d<|||fS)NtimeoutZ head_maskr)rrZpreprocess_paramsZpostprocess_paramsZforward_paramsrrr_sanitize_parametersPs  z)ImageToImagePipeline._sanitize_parametersz Image.Image)imagesrreturncKsdSNrrrrrrr__call__\szImageToImagePipeline.__call__cKsdSrrr rrrr!_sc stj|fi|S)a Transform the image(s) passed as inputs. Args: images (`str`, `list[str]`, `PIL.Image` or `list[PIL.Image]`): The pipeline handles three types of images: - A string containing a http link pointing to an image - A string containing a local path to an image - An image loaded in PIL directly The pipeline accepts either a single image or a batch of images, which must then be passed as a string. Images in a batch must all be in the same format: all as http links, all as local paths, or all as PIL images. timeout (`float`, *optional*, defaults to None): The maximum time in seconds to wait for fetching images from the web. If None, no timeout is used and the call may block forever. Return: An image (Image.Image) or a list of images (list["Image.Image"]) containing result(s). If the input is a single image, the return will be also a single image, if the input is a list of several images, it will return a list of transformed images. )rr!r rrrr!bscCs|jfi|}|Sr)model)rZ model_inputs model_outputsrrr_forward~szImageToImagePipeline._forwardNcCs6t||d}|j|gdd}|jdkr2||j}|S)N)rpt)rZreturn_tensors)rZimage_processorZ frameworktoZdtype)rimagerinputsrrr preprocesss    zImageToImagePipeline.preprocesscCsg}d|vr|j}|D]V}|jdd}tj|ddd}|d tj }| t |qt|dkr~|S|dS)Nreconstructionrr )sourceZ destinationgo@)r*dataZsqueezefloatcpuZclamp_numpynpZmoveaxisroundZastypeZuint8appendrZ fromarraylen)rr#routputsoutputrrr postprocesssz ImageToImagePipeline.postprocess)N)__name__ __module__ __qualname____doc__Z_load_processorZ_load_image_processorZ_load_feature_extractorZ_load_tokenizerrrrrstrrr!listr$r)r7 __classcell__rrrrr's"  ( r)typingrrrr0r1utilsrrrr r baser r ZPILrZ image_utilsrZmodels.auto.modeling_autorZ get_loggerr8loggerrrrrrs