LoadImageFromFile¶

class mmocr.datasets.transforms.LoadImageFromFile(to_float32=False, color_type='color', imdecode_backend='cv2', file_client_args=None, min_size=0, ignore_empty=False, *, backend_args=None)[source]¶

Load an image from file.

Required Keys:

img_path

Modified Keys:

img
img_shape
ori_shape

Parameters

to_float32 (bool) – Whether to convert the loaded image to a float32 numpy array. If set to False, the loaded image is an uint8 array. Defaults to False.
color_type (str) – The flag argument for :func:mmcv.imfrombytes. Defaults to ‘color’.
imdecode_backend (str) – The image decoding backend type. The backend argument for :func:mmcv.imfrombytes. See :func:mmcv.imfrombytes for details. Defaults to ‘cv2’.
file_client_args (dict) – Arguments to instantiate a FileClient. See mmengine.fileio.FileClient for details. Defaults to None. It will be deprecated in future. Please use backend_args instead. Deprecated in version 1.0.0rc6.
backend_args (dict, optional) – Instantiates the corresponding file backend. It may contain backend key to specify the file backend. If it contains, the file backend corresponding to this value will be used and initialized with the remaining values, otherwise the corresponding file backend will be selected based on the prefix of the file path. Defaults to None. New in version 1.0.0rc6.
ignore_empty (bool) – Whether to allow loading empty image or file path not existent. Defaults to False.
min_size (int) – The minimum size of the image to be loaded. If the image is smaller than the minimum size, it will be regarded as a broken image. Defaults to 0.

Return type

None

transform(results)[source]¶

Functions to load image.

Parameters: results (dict) – Result dict from :obj:mmcv.BaseDataset.
Returns: The dict contains loaded image and meta information.
Return type: dict