Convert images and videos into a cartoon!
The webapp is deployed here - https://cartoonize-lkqov62dia-de.a.run.app
You can find a writeup on this webapp's architecture here!
These are important steps if you want to leverage Google buckets, signed URLs and Algorithmia's platform. Skip this if you want to run locally / colab.
To use any functionalities pertaining to Google Cloud, you'll need a global authentication file (JSON). You can obtain this JSON by following the steps given here - Getting started with authentication
After you get the JSON file, rename it to token.json
(so that it's compatible with the codebase).
Set the environment variable in your terminal -
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/token.json"
Notes:
~/.bashrc
.Dockerfile
already includes the setting of this particular environment variable. :)We used the Serveless AI Layer product of Algorithmia for inference on videos. To learn more on how to deploy your model in Algorithmia, check here - https://algorithmia.com/developers
The easiest way to get the webapp running is by using the Dockerfile:
cd
into the root directory and build the image
docker build -t cartoonize .
Note: Set the appropriate values in config.yaml
before building the image.
Run the container by exposing the appropriate ports
docker run -p 8080:8080 cartoonize
virtualenv
virutalenv
and activate it
virtualenv -p python3 cartoonize
source cartoonize/bin/activate
pip install -r requirements.txt
config.yaml
file before running the application.
python app.py
Clone the repository using either of the below mentioned way:
Using Command:
! git clone https://github.com/experience-ml/cartoonize.git
Note: Don't forget to add !
at the beginning of the command
From Colab User Interface
Open Colab
└── File
└── Open Notebook
└── Github
└── paste the Url of the repository
Note : Before running the application change the runtime to GPU for processing videos but you for images CPU shall also work just fine.
Runtime
└── Change runtime type
└── Select GPU
After cloning the repository navigate to the /cartoonize
using below command in the notebook cell:
%cd cartoonize
Run the below commands in the notebook cell to install the requirements.
!pip install -r requirements.txt
In config.yaml file set:
colab-mode: true
Launch the flask app on ngrok
!python app.py
Copyright © Cartoonizer (Demo webapp)
Authors: Niraj Pandkar and Tejas Mahajan.
Licensed under the CC BY-NC-SA 4.0
Commercial application is prohibited by license
Copyright (C) Xinrui Wang, Jinze Yu. (White box cartoonization)