EasyCV/easycv/datasets/shared/pipelines/transforms.py

51 lines
1.5 KiB
Python

# Copyright (c) Alibaba, Inc. and its affiliates.
import time
from collections.abc import Sequence
from easycv.datasets.registry import PIPELINES
from easycv.utils.registry import build_from_cfg
@PIPELINES.register_module()
class Compose(object):
"""Compose a data pipeline with a sequence of transforms.
Args:
transforms (list[dict | callable]):
Either config dicts of transforms or transform objects.
"""
def __init__(self, transforms, profiling=False):
assert isinstance(transforms, Sequence)
self.profiling = profiling
self.transforms = []
for transform in transforms:
if isinstance(transform, dict):
transform = build_from_cfg(transform, PIPELINES)
self.transforms.append(transform)
elif callable(transform):
self.transforms.append(transform)
else:
raise TypeError('transform must be callable or a dict, but got'
f' {type(transform)}')
def __call__(self, data):
for t in self.transforms:
if self.profiling:
start = time.time()
data = t(data)
if self.profiling:
print(f'{t} time {time.time()-start}')
if data is None:
return None
return data
def __repr__(self):
format_string = self.__class__.__name__ + '('
for t in self.transforms:
format_string += f'\n {t}'
format_string += '\n)'
return format_string