fix code style and copyright

image_classification/classify.py

-# Copyright (c) 2016 Baidu, Inc. All Rights Reserved
+# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.

image_classification/data/cifar10.py

+# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
+#
+# 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 os
 import numpy as np
 import cPickle
@@ -7,22 +21,24 @@ CHANNEL = 3
 HEIGHT = 32
 WIDTH = 32
 
+
 def create_mean(dataset):
     if not os.path.isfile("mean.meta"):
         mean = np.zeros(CHANNEL * HEIGHT * WIDTH)
         num = 0
         for f in dataset:
             batch = np.load(f)
-            mean +=  batch['data'].sum(0)
+            mean += batch['data'].sum(0)
             num += len(batch['data'])
         mean /= num
         print mean.size
         data = {"mean": mean, "size": mean.size}
-        cPickle.dump(data, open("mean.meta", 'w'), protocol=cPickle.HIGHEST_PROTOCOL)
+        cPickle.dump(
+            data, open("mean.meta", 'w'), protocol=cPickle.HIGHEST_PROTOCOL)
 
 
 def create_data():
-    train_set = [DATA + "/data_batch_%d" % (i + 1) for i in xrange(0,5)]
+    train_set = [DATA + "/data_batch_%d" % (i + 1) for i in xrange(0, 5)]
     test_set = [DATA + "/test_batch"]
 
     # create mean values
@@ -39,5 +55,6 @@ def create_data():
         open("test.txt", "w").write("\n".join(test))
         open("test.list", "w").write("\n".join(["data/test.txt"]))
 
+
 if __name__ == '__main__':
     create_data()

image_classification/data/get_data.sh

-# Copyright (c) 2016 Baidu, Inc. All Rights Reserved
+# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 set -e
+
 wget https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
 tar zxf cifar-10-python.tar.gz
 rm cifar-10-python.tar.gz

image_classification/train.sh

@@ -14,8 +14,8 @@
 # limitations under the License.
 set -e
 
-config=models/resnet.py
-#config=models/vgg.py
+#config=models/resnet.py
+config=models/vgg.py
 output=output
 log=train.log
 
@@ -26,4 +26,4 @@ paddle train \
     --log_period=100 \
     --num_passes=300 \
     --save_dir=$output
-    #2>&1 | tee $log
+    2>&1 | tee $log