Deep learning server for generating art.

Pycasso has a number of image samples that can be used to test the art generation server locally. To get started, do the following:

1. Install dependencies
2. Run Pycasso.py
3. Run Integration.py in Test/Manual

Integration.py will take some sample images already helpfully included in the folder and run Neural_Transfer on them. If you wish to replace your own images, simply add images to the Data folder and change out the queue_job call with your own images.

1. pip install flask
2. pip install flask-RESTful
3. pip install tinydb
4. pip3 install https://download.pytorch.org/whl/cu100/torch-1.0.1-cp37-cp37m-win_amd64.whl (or whichever .whl is appropriate for your processor)
5. pip3 install torchvision
6. pip install flask_jwt_extended
7. pip install requests
8. pip install pytorch-pretrained-bert

View Projects, task list for current product roadmap. Next content features will probably include GANs for generating faces, character models, 3d models, as well as text generation with gpt2.