Update deprecated line+README smooth out

README.md

@@ -1,7 +1,7 @@
 DeepAA
 ====
 
-This is convolutional neural networks generating ASCII art.
+This is convolutional neural network that generates ASCII art from an image.
 This repository is under construction.
 
 This work is accepted by [NIPS 2017 Workshop, Machine Learning for Creativity and Design](https://nips2017creativity.github.io/)
@@ -28,18 +28,18 @@ The paper: [ASCII Art Synthesis with Convolutional Networks](https://nips2017cre
 )
 
 ## How to use
-please change the line 15 of `output.py `
+please change the line 15 of `output.py`
 
 ```
 image_path = 'sample images/original images/21 original.png' # put the path of the image that you convert.
 ```
 into the path of image file that you use.
 You should use a grayscale line image.
 
-then run `output.py `.
-converted images will be output at `output/ `.
+then run `output.py`.
+converted images will be output at `output/`.
 
-You can select light model by change the line 13, 14  of `output.py ` into
+You can select light model by change the line 13, 14  of `output.py` into
 ```
 model_path = "model/model_light.json"
 weight_path = "model/weight_light.hdf5"

output.py

@@ -43,7 +43,7 @@ def pickleload(path):
 print("len(char_list)", len(char_list))
 # print(char_list.head())
 char_list = char_list[char_list['frequency']>=10]
-char_list = char_list['char'].as_matrix()
+char_list = char_list['char'].to_numpy()
 
 for k, v in enumerate(char_list):
     if v==" ":
@@ -125,4 +125,4 @@ def pickleload(path):
 
     f=open(save_path[:-4] + '.txt', 'w')
     f.writelines(text)
-    f.close()
+    f.close()