mustache-filter

Create a mustache filter similar to a Snapchat filter by following these steps and visit the IBM developer code pattern for detailed steps (https://developer.ibm.com/tutorials/learn-serverless-computing-app-filter-mustache/):

Pre requisites

• Install python version 3.x
  https://www.python.org/downloads/

• Intall opencv

pip install opencv-python

• Install numpy

python3 -m pip install numpy

Steps

1. Create an IBM Cloud account

2. Create a Functions service from the catalog

• 

  • Create an Action
    

3. Copy paste this python code to the Code section of the service:

   • Save the code

   • Enable Web Action under Endpoints and copy the HTTPS URL

import sys 
import random

def main(dict):
  
  mus_urls = ['https://sublimerobots.com/wp-content/uploads/2014/12/mustache.png', 'https://i.pinimg.com/originals/67/2e/0f/672e0f6f71ebe08a5029a89e85df1e18.png', 'https://images.vexels.com/media/users/3/130978/isolated/lists/f932a333154f1d6bff554c1010466f00-hipster-mustache-5.png', 'https://www.papilbo.com/2743-large_default/basic-classi-con-fiocco-blu.jpg', 'https://www.660citynews.com/wp-content/blogs.dir/sites/8/2016/11/01/moustache.png' ]

  index = random.randint(0, len(mus_urls)-1)
  print(mus_urls[index])  
 
  return {'url':mus_urls[index]}
  

4. Download the serverless-detection.py and the haar cascade files (reference: https://github.com/opencv/opencv/tree/master/data/haarcascades)

5. Edit the file:

   • Add your HTTPS URL (not the REST API link) from the Cloud Functions service

6. Run the following command on the terminal to execute the application:

python serverless-detection.py 

The Architecture

The Process