Source code for monailabel.interfaces.utils.transform
# Copyright 2020 - 2021 MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import logging
import time
from monai.transforms import Compose
from monailabel.interfaces.exception import MONAILabelError, MONAILabelException
logger = logging.getLogger(__name__)
[docs]def dump_data(data):
if logging.getLogger().level == logging.DEBUG:
logger.debug("**************************** DATA ********************************************")
for k in data:
v = data[k]
logger.debug(
"Data key: {} = {}".format(
k,
v.shape
if hasattr(v, "shape")
else v
if type(v) in (int, float, bool, str, dict, tuple, list)
else type(v),
)
)
logger.debug("******************************************************************************")
[docs]def shape_info(data, keys=("image", "label", "logits", "pred", "model")):
info = []
for key in keys:
val = data.get(key) if hasattr(data, "get") else None
if val is not None and hasattr(val, "shape"):
info.append("{}: {}({})".format(key, val.shape, val.dtype))
return "; ".join(info)
[docs]def run_transforms(data, callables, inverse=False, log_prefix="POST", log_name="Transform"):
"""
Run Transforms
:param data: Input data dictionary
:param callables: List of transforms or callable objects
:param inverse: Run inverse instead of call/forward function
:param log_prefix: Logging prefix (POST or PRE)
:param log_name: Type of callables for logging
:return: Processed data after running transforms
"""
logger.info("{} - Run {}".format(log_prefix, log_name))
logger.info("{} - Input Keys: {}".format(log_prefix, data.keys()))
if not callables:
return data
compose = Compose()
if isinstance(callables, Compose):
callables = callables.transforms
elif callable(callables):
callables = [callables]
for t in callables:
name = t.__class__.__name__
start = time.time()
dump_data(data)
if inverse:
if hasattr(t, "inverse"):
data = t.inverse(data)
else:
raise MONAILabelException(
MONAILabelError.TRANSFORM_ERROR,
"{} '{}' has no invert method".format(log_name, t.__class__.__name__),
)
elif callable(t):
compose.transforms = [t]
data = compose(data)
else:
raise MONAILabelException(
MONAILabelError.TRANSFORM_ERROR,
"{} '{}' is not callable".format(log_name, t.__class__.__name__),
)
logger.info(
"{} - {} ({}): Time: {:.4f}; {}".format(
log_prefix,
log_name,
name,
float(time.time() - start),
shape_info(data),
)
)
logger.debug("-----------------------------------------------------------------------------")
dump_data(data)
return data