Add Automatically downloading the data

download.py

@@ -0,0 +1,34 @@
+import urllib
+from urllib import request, error
+import sys
+import subprocess
+
+# Download the Face Landmarks model
+data_url = 'http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2'
+filename = data_url.split('/')[-1]
+
+
+# DownLoad model
+def _progress(block_num, block_size, total_size):
+    sys.stdout.write('\r>> Downloading %s %.1f%%' % (filename,
+                                                     float(block_num * block_size) / float(total_size) * 100.0))
+    sys.stdout.flush()
+
+
+# Download model when network conditions is not good
+def re_down(url, filename, _progress):
+    try:
+        urllib.request.urlretrieve(url,filename,_progress)
+    except urllib.error.ContentTooShortError:
+        print ('Network conditions is not good. Reloading...')
+        re_down(url,filename,_progress)
+
+
+if __name__ == '__main__':
+    re_down(data_url, filename, _progress)
+    # Download Dataset,put kaggle.json in .kaggle
+    subprocess.call(
+        'kaggle competitions download -c challenges-in-representation-learning-facial-expression-recognition-challenge',
+        shell=True)
+
+