ёi%SSKJr SSKJrJrJrJr SSKJr SSK J r SSK J r \(a6SSK Jr SSKJr SSKJr \SrS \S '\\\\R*\4rS \S '/rS qS \S 'SSjrSSjrSSSjjrg)) annotations) TYPE_CHECKINGAnyLiteralUnion)Image) TypeAlias) try_importN)Tensorpilcv2tensorr _ImageBackend_ImageDataTyper _image_backendc0US;a[SU35eUqg)a Specifies the backend used to load images in class :ref:`api_paddle_datasets_ImageFolder` and :ref:`api_paddle_datasets_DatasetFolder` . Now support backends are pillow and opencv. If backend not set, will use 'pil' as default. Args: backend (str): Name of the image load backend, should be one of {'pil', 'cv2'}. Examples: .. code-block:: python >>> import os >>> import shutil >>> import tempfile >>> import numpy as np >>> from PIL import Image >>> from paddle.vision import DatasetFolder >>> from paddle.vision import set_image_backend >>> set_image_backend('pil') >>> def make_fake_dir(): ... data_dir = tempfile.mkdtemp() ... ... for i in range(2): ... sub_dir = os.path.join(data_dir, 'class_' + str(i)) ... if not os.path.exists(sub_dir): ... os.makedirs(sub_dir) ... for j in range(2): ... fake_img = Image.fromarray((np.random.random((32, 32, 3)) * 255).astype('uint8')) ... fake_img.save(os.path.join(sub_dir, str(j) + '.png')) ... return data_dir >>> temp_dir = make_fake_dir() >>> pil_data_folder = DatasetFolder(temp_dir) >>> for items in pil_data_folder: ... break >>> print(type(items[0])) >>> # use opencv as backend >>> set_image_backend('cv2') >>> cv2_data_folder = DatasetFolder(temp_dir) >>> for items in cv2_data_folder: ... break >>> print(type(items[0])) >>> shutil.rmtree(temp_dir) r >Expected backend are one of ['pil', 'cv2', 'tensor'], but got N) ValueErrorr)backends S/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/vision/image.pyset_image_backendr&s,x..LWI V  Nc[$)a Gets the name of the package used to load images Returns: str: backend of image load. Examples: .. code-block:: python >>> from paddle.vision import get_image_backend >>> backend = get_image_backend() >>> print(backend) pil )rrrget_image_backendris $ rcUc[nUS;a[SU35eUS:Xa[R"U5$US:Xa[ S5nUR U5$g)aLoad an image. Args: path (str): Path of the image. backend (str, optional): The image decoding backend type. Options are `cv2`, `pil`, `None`. If backend is None, the global _imread_backend specified by :ref:`api_paddle_vision_set_image_backend` will be used. Default: None. Returns: PIL.Image or np.array: Loaded image. Examples: .. code-block:: python >>> import numpy as np >>> from PIL import Image >>> from paddle.vision import image_load, set_image_backend >>> fake_img = Image.fromarray((np.random.random((32, 32, 3)) * 255).astype('uint8')) >>> path = 'temp.png' >>> fake_img.save(path) >>> set_image_backend('pil') >>> pil_img = image_load(path).convert('RGB') # type: ignore >>> print(type(pil_img)) >>> # use opencv as backend >>> set_image_backend('cv2') >>> np_img = image_load(path) >>> print(type(np_img)) Nr rr r)rrropenr imread)pathrrs r image_loadr!~snV ..LWI V  %zz$ E zz$ r)rrreturnNone)r"r)N)r strrz_ImageBackend | Noner"z_ImageDataType | None) __future__rtypingrrrrPILrtyping_extensionsr paddle.utilsr numpy.typingnpt PIL.ImagePILImagepaddler r__annotations__NDArrayr__all__rrrr!rrrr2s#55'#+&'=>M9> %fh C8H&H INII  % %@F,046 6 ,6 6 r