osciiart / deepaa Goto Github PK

The bullet point "training data (additional, download it from [here], extract it and place the extracted directory in dir data.) )" in the readme seems like it should link to a training data file but it actually links to the same weights.hdf5 file as in the previous bullet point.

Sorry, I can not understand Japanese language. I think your work looks promising 👍 I've also written some codes trying to achieve the results as Xu did in her article, but what I got is pretty messy as in the following image(70 chars a line) 😥

Hope you can write an article explaining the details about how you train the model 😁

make Ascii Art by Deep Learing

Learing -> Learning

pip でtensorflowとKerasはインストールしましたー。

#スタックトレース

Using TensorFlow backend.
Traceback (most recent call last):
File "C:/Users/(ユーザー名)/Downloads/DeepAA-master/deepaa_output.py", line 24, in
model = model_from_json(json_string)
File "C:\Program Files\Anaconda3\lib\site-packages\keras\models.py", line 325, in model_from_json
return layer_module.deserialize(config, custom_objects=custom_objects)
File "C:\Program Files\Anaconda3\lib\site-packages\keras\layers_init_.py", line 46, in deserialize
printable_module_name='layer')
File "C:\Program Files\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 140, in deserialize_keras_object
list(custom_objects.items())))
File "C:\Program Files\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2370, in from_config
process_layer(layer_data)
File "C:\Program Files\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2339, in process_layer
custom_objects=custom_objects)
File "C:\Program Files\Anaconda3\lib\site-packages\keras\layers_init_.py", line 46, in deserialize
printable_module_name='layer')
File "C:\Program Files\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 141, in deserialize_keras_object
return cls.from_config(config['config'])
File "C:\Program Files\Anaconda3\lib\site-packages\keras\engine\topology.py", line 1202, in from_config
return cls(**config)
TypeError: init() got an unexpected keyword argument 'input_dtype'

#環境
Python 3.5.2 |Anaconda custom (64-bit)| (default, Jul 5 2016, 11:41:13) [MSC v.1900 64 bit (AMD64)] on win32
依存ライブラリのバージョン

• tensorflow (1.0.1)
• Keras (2.0.1)
• numpy (1.12.0)
• Pillow (3.3.1)

I was trying to download the weights file over google drive and it asked for me to request access. I believe there is a way to set it to not make people request access, but still not be able to edit the file. That will make it so you don't have to give access to anyone who wants to download in the future.

Thanks for the cool program!

I was wondering which font would be best for output.
I generated ascii art someting like this:

　  ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,　　　
　　|　　　　　　　　　　　　　　　　　　　　　 | 　　　
　　|　　'|''''''''''''''''''''''''''''''''''''''''''''''''''''''''''|　 　 |　　　
　　|　　:|　　,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-,,,,　　 |　 　 |　　　
　　|　　:|　　 |　　　　　　　　　　]|　　|　 　 |　　　
　　|　　:|　　 |　　　　　　　　　　:|　　:|　 　 |　　　
　　|　　:|　　 |　　　　　　　　　　:|　　:|　 　 |　　　
　　|　　:|　　 |　　　　　　　 　　 l|　　 |　 　 |　　　
　　|　　:| 　 └――――――-┘　 |　 　 |　　　
　　|　　.|＿＿＿＿＿＿＿＿＿＿__,|　 　 |　　　
　  |　　　　　　　　　　　　　　　　　　　　　 :|　　　
　　|-----------------------------┘

and I think fixed width font is not proper for this.

Large file size so file wasn't uploaded: https://github.com/OsciiArt/DeepAA/blob/master/model/weight.hdf5

Possibly supply file in releases or upload elsewhere.