add pretrain list show

ppcls/utils/model_zoo.py

@@ -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]
+    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))

tools/download.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
+# 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
@@ -33,6 +33,9 @@ def parse_args():
 
 def main():
     args = parse_args()
+    if args.list:
+        model_zoo.list_models()
+    else:
         model_zoo.get(args.architecture, args.path, args.decompress)