This is convolutional neural networks generating ASCII art. This repository is under construction.
This work is accepted by NIPS 2017 Workshop, Machine Learning for Creativity and Design The paper: ASCII Art Synthesis with Convolutional Networks
Web application (using previous version model) (by tar-bin)
model
.)data
.)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/
.
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"
The pre-trained models and the other files we have provided are licensed under the MIT License.