未验证 提交 f6527e35 编写于 作者: D dyning 提交者: GitHub

Merge pull request #96 from littletomatodonkey/fix_down

add pretrain list show
......@@ -24,7 +24,6 @@ import tqdm
import zipfile
from ppcls.modeling import similar_architectures
from ppcls.utils.check import check_architecture
from ppcls.utils import logger
__all__ = ['get']
......@@ -168,11 +167,16 @@ def _decompress(fname):
os.remove(fname)
def _get_pretrained():
with open('./ppcls/utils/pretrained.list') as flist:
pretrained = [line.strip() for line in flist]
return pretrained
def _check_pretrained_name(architecture):
assert isinstance(architecture, str), \
("the type of architecture({}) should be str". format(architecture))
with open('./configs/pretrained.list') as flist:
pretrained = [line.strip() for line in flist]
("the type of architecture({}) should be str". format(architecture))
pretrained = _get_pretrained()
similar_names = similar_architectures(architecture, pretrained)
model_list = ', '.join(similar_names)
err = "{} is not exist! Maybe you want: [{}]" \
......@@ -181,6 +185,14 @@ def _check_pretrained_name(architecture):
raise ModelNameError(err)
def list_models():
pretrained = _get_pretrained()
msg = "All avialable pretrained models are as follows: {}".format(
pretrained)
logger.info(msg)
return
def get(architecture, path, decompress=True):
"""
Get the pretrained model.
......@@ -188,5 +200,6 @@ def get(architecture, path, decompress=True):
_check_pretrained_name(architecture)
url = _get_url(architecture)
fname = _download(url, path)
if decompress: _decompress(fname)
if decompress:
_decompress(fname)
logger.info("download {} finished ".format(fname))
# 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
# 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.
# 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 sys
import argparse
from ppcls import model_zoo
......@@ -26,6 +25,7 @@ def parse_args():
parser.add_argument('-a', '--architecture', type=str, default='ResNet50')
parser.add_argument('-p', '--path', type=str, default='./pretrained/')
parser.add_argument('-d', '--decompress', type=str2bool, default=True)
parser.add_argument('-l', '--list', type=str2bool, default=False)
args = parser.parse_args()
return args
......@@ -33,7 +33,10 @@ def parse_args():
def main():
args = parse_args()
model_zoo.get(args.architecture, args.path, args.decompress)
if args.list:
model_zoo.list_models()
else:
model_zoo.get(args.architecture, args.path, args.decompress)
if __name__ == '__main__':
......
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