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Source code for mmcls.datasets.pipelines.loading

# Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp

import mmcv
import numpy as np

from ..builder import PIPELINES

[docs]@PIPELINES.register_module() class LoadImageFromFile(object): """Load an image from file. Required keys are "img_prefix" and "img_info" (a dict that must contain the key "filename"). Added or updated keys are "filename", "img", "img_shape", "ori_shape" (same as `img_shape`) and "img_norm_cfg" (means=0 and stds=1). Args: 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'. file_client_args (dict): Arguments to instantiate a FileClient. See :class:`mmcv.fileio.FileClient` for details. Defaults to ``dict(backend='disk')``. """ def __init__(self, to_float32=False, color_type='color', file_client_args=dict(backend='disk')): self.to_float32 = to_float32 self.color_type = color_type self.file_client_args = file_client_args.copy() self.file_client = None def __call__(self, results): if self.file_client is None: self.file_client = mmcv.FileClient(**self.file_client_args) if results['img_prefix'] is not None: filename = osp.join(results['img_prefix'], results['img_info']['filename']) else: filename = results['img_info']['filename'] img_bytes = self.file_client.get(filename) img = mmcv.imfrombytes(img_bytes, flag=self.color_type) if self.to_float32: img = img.astype(np.float32) results['filename'] = filename results['ori_filename'] = results['img_info']['filename'] results['img'] = img results['img_shape'] = img.shape results['ori_shape'] = img.shape num_channels = 1 if len(img.shape) < 3 else img.shape[2] results['img_norm_cfg'] = dict( mean=np.zeros(num_channels, dtype=np.float32), std=np.ones(num_channels, dtype=np.float32), to_rgb=False) return results def __repr__(self): repr_str = (f'{self.__class__.__name__}(' f'to_float32={self.to_float32}, ' f"color_type='{self.color_type}', " f'file_client_args={self.file_client_args})') return repr_str
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