Cartoonizer-express

Convert ONLY image into a cartoon!

an ExpressJS project forked and changed from experience-ml/cartoonize

The original(Flask-based) webapp is deployed here - https://cartoonize-lkqov62dia-de.a.run.app

You can find a writeup on this webapp's architecture here!

Installation Using Google Colab

1. Clone the repository using either of the below mentioned way:

   • Using Command:

     • Create a new Notebook in Colab and in the cell execute the below command.

      ! git clone https://github.com/CDHZAYN/cartoonize_express.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

2. After cloning the repository navigate to the /cartoonize_express using below command in the notebook cell:

 %cd cartoonize_express

3. Run the below commands in the notebook cell to install the requirements (CAUTION: "pip install" may firstly uninstall some of existing packages, please check it previously).

 !npm install
 !pip install -U -r requirements.txt

4. Config your pyngrok to solve NAT Traversal(ngrok account registration in advance needed).

!ngrok authtoken YOUR_NGROK_TOKEN

5. Run the pyngrok in background, allowing the express' default port 3000 to be visited.

!nohup ngrok http 3000 &

5. Launch the express app on ngrok.

 !npm run dev

6. Connect to colab with ngrok in RESTful requests. Image should be transferred according to "Content-Type=form-data" and named "image". express will return with a transformed JPG picture in Base64.

POST http://xxxx-xx-xxx-xxx-xxx.ngrok.io/

Note : Sample Google Colab Notebook for reference

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License

1. Copyright (WHATEVER)

2. 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

3. Copyright (C) Xinrui Wang, Jinze Yu. (White box cartoonization)

   • All rights reserved.
   • Licensed under the CC BY-NC-SA 4.0
   • Also, Commercial application is prohibited license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).