Update default path

Author: haofanwang

tutorials/03-advanced/image_captioning/sample.py

@@ -69,13 +69,13 @@ def main(args):
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
     parser.add_argument('--image', type=str, required=True, help='input image for generating caption')
-    parser.add_argument('--encoder_path', type=str, default='models/encoder-2-1000.ckpt', help='path for trained encoder')
-    parser.add_argument('--decoder_path', type=str, default='models/decoder-2-1000.ckpt', help='path for trained decoder')
+    parser.add_argument('--encoder_path', type=str, default='models/encoder-5-3000.pkl', help='path for trained encoder')
+    parser.add_argument('--decoder_path', type=str, default='models/decoder-5-3000.pkl', help='path for trained decoder')
     parser.add_argument('--vocab_path', type=str, default='data/vocab.pkl', help='path for vocabulary wrapper')
 
     # Model parameters (should be same as paramters in train.py)
     parser.add_argument('--embed_size', type=int , default=256, help='dimension of word embedding vectors')
     parser.add_argument('--hidden_size', type=int , default=512, help='dimension of lstm hidden states')
     parser.add_argument('--num_layers', type=int , default=1, help='number of layers in lstm')
     args = parser.parse_args()
-    main(args)
+    main(args)