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import warnings
from typing import Optional
import mmengine.fileio as fileio
import numpy as np
import cv2
import mmcv
from mmcv.transforms.base import BaseTransform
from mmpretrain.registry import TRANSFORMS
from mmcv.image.io import _jpegflag, imread_flags
from mmengine.utils import is_str
@TRANSFORMS.register_module()
class LoadImageFromFileFungi(BaseTransform):
"""Load an image from file.
Required Keys:
- img_path
Modified Keys:
- img
- img_shape
- ori_shape
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'.
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, optional): Arguments to instantiate a
FileClient. See :class:`mmengine.fileio.FileClient` for details.
Defaults to None. It will be deprecated in future. Please use
``backend_args`` instead.
Deprecated in version 2.0.0rc4.
ignore_empty (bool): Whether to allow loading empty image or file path
not existent. Defaults to False.
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 2.0.0rc4.
"""
def __init__(self,
to_float32: bool = False,
color_type: str = 'color',
imdecode_backend: str = 'cv2',
file_client_args: Optional[dict] = None,
ignore_empty: bool = False,
*,
backend_args: Optional[dict] = None) -> None:
print('Using LoadImageFromFile from mmpretrain_custom')
self.ignore_empty = ignore_empty
self.to_float32 = to_float32
self.color_type = color_type
self.imdecode_backend = imdecode_backend
self.file_client_args: Optional[dict] = None
self.backend_args: Optional[dict] = None
if file_client_args is not None:
warnings.warn(
'"file_client_args" will be deprecated in future. '
'Please use "backend_args" instead', DeprecationWarning)
if backend_args is not None:
raise ValueError(
'"file_client_args" and "backend_args" cannot be set '
'at the same time.')
self.file_client_args = file_client_args.copy()
if backend_args is not None:
self.backend_args = backend_args.copy()
def transform(self, results: dict) -> Optional[dict]:
"""Functions to load image.
Args:
results (dict): Result dict from
:class:`mmengine.dataset.BaseDataset`.
Returns:
dict: The dict contains loaded image and meta information.
"""
filename = results['img_path']
try:
if self.file_client_args is not None:
file_client = fileio.FileClient.infer_client(
self.file_client_args, filename)
img_bytes = file_client.get(filename)
else:
img_bytes = fileio.get(
filename, backend_args=self.backend_args)
img = mmcv.imfrombytes(
img_bytes, flag=self.color_type, backend=self.imdecode_backend)
if img is None:
flag = self.color_type
flag = imread_flags[flag] if is_str(flag) else flag
img = cv2.imread(filename, flag)
assert img is not None, filename
except Exception as e:
if self.ignore_empty:
if img is None:
flag = self.color_type
flag = imread_flags[flag] if is_str(flag) else flag
img = cv2.imread(filename, flag)
assert img is not None, filename
return img
else:
raise e
# in some cases, images are not read successfully, the img would be
# `None`, refer to https://github.com/open-mmlab/mmpretrain/issues/1427
assert img is not None, f'failed to load image: {filename}'
if self.to_float32:
img = img.astype(np.float32)
results['img'] = img
results['img_shape'] = img.shape[:2]
results['ori_shape'] = img.shape[:2]
return results
def __repr__(self):
repr_str = (f'{self.__class__.__name__}('
f'ignore_empty={self.ignore_empty}, '
f'to_float32={self.to_float32}, '
f"color_type='{self.color_type}', "
f"imdecode_backend='{self.imdecode_backend}', ")
if self.file_client_args is not None:
repr_str += f'file_client_args={self.file_client_args})'
else:
repr_str += f'backend_args={self.backend_args})'
return repr_str
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