__init__.py

# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
# 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.

from __future__ import absolute_import
import os
if 'FLAGS_eager_delete_tensor_gb' not in os.environ:
    os.environ['FLAGS_eager_delete_tensor_gb'] = '0.0'
if 'FLAGS_allocator_strategy' not in os.environ:
    os.environ['FLAGS_allocator_strategy'] = 'auto_growth'
if "CUDA_VISIBLE_DEVICES" in os.environ:
    if os.environ["CUDA_VISIBLE_DEVICES"].count("-1") > 0:
        os.environ["CUDA_VISIBLE_DEVICES"] = ""
from .utils.utils import get_environ_info
from . import cv
from . import det
from . import seg
from . import cls
from . import slim

try:
    import pycocotools
except:
    print(
        "[WARNING] pycocotools is not installed, detection model is not available now."
    )
    print(
        "[WARNING] pycocotools install: https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/install.md"
    )

#import paddlehub as hub
#if hub.version.hub_version < '1.6.2':
#    raise Exception("[ERROR] paddlehub >= 1.6.2 is required")

env_info = get_environ_info()
load_model = cv.models.load_model
datasets = cv.datasets

log_level = 2
__version__ = '0.1.6.github'