Extending an Existing Service

Overview

Say there’s an existing service that does almost everything you want it to, but there’s some slight changes you wish you could make. Luckily, SIC’s object-oriented architecture enables you to inherit from and extend the component you wish to modify. Let’s take the ‘detect’ function of the FaceDetectionComponent, for example:

def detect(self, image): img = array(image).astype(np.uint8) gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) faces = self.faceCascade.detectMultiScale( gray, scaleFactor=1.2, minNeighbors=5, minSize=(int(self.params.minW), int(self.params.minH)), ) faces = [BoundingBox(x, y, w, h) for (x, y, w, h) in faces] return BoundingBoxesMessage(faces)

In this function the ‘scaleFactor’ and ‘minNeighbors’ variables are hidden within the function, meaning the only way to access or change them is to rewrite the function. However, rather than rewriting the whole entire FaceDetectionComponent, we can simply create a new component where we inherit from the FaceDetectionComponent, and change just the detect function.

Outline

To extend an existing component we will go through the following steps:

  1. Identify the component we wish to change.

  2. Create a new script called ‘custom_{COMPONENT_NAME}.py'.

It is recommended to add these to a ‘custom_components’ folder within your repo to keep track of these.

  1. Import the original component and relevant modules in the new custom component.

  2. Extend the original component, rewrite the functions you wish to change.

  3. Change the SICConnector and SICComponentManager to match the new component name.

  4. Import the new connector for the custom component in your scripts that use it.

  5. Run the new custom component in place of the old one.

Setup (steps 1 and 2)

First, we have already decided we are going to change the ‘detect’ function of the FaceDetectionComponent. So next, we create a ‘custom_components’ folder in our repo if we do not have one already, and within that add a ‘custom_{COMPONENT}’ script:

There also needs to be an ‘__init__.py’ script within the custom_components folder. This script should be empty, but it needs to be there for Python to recognize this folder as a module.

image-20241120-131848.png

Now run ‘pip install -e .’ within your SIC repository. This will create a link in your environment to the custom_components folder so that you can easily import your custom components within your other scripts.

Writing the new component (steps 3, 4, and 5)

Inside the new custom component script, we import the old component, as well as the SICComponentManager, SICConnector, and anything the new custom component may need:

from sic_framework.services.face_detection.face_detection import FaceDetectionComponent # Import the original component from sic_framework.core.component_manager_python2 import SICComponentManager from sic_framework.core.connector import SICConnector # additional modules used by custom function import cv2 import numpy as np from numpy import array from sic_framework.core.message_python2 import ( BoundingBox, BoundingBoxesMessage, )

We then extend the original component by instantiating a new class and rewriting just the functionality we wish to change:

class CustomFaceDetectionComponent(FaceDetectionComponent): def __init__(self, *args, **kwargs): super(CustomFaceDetectionComponent, self).__init__(*args, **kwargs) self.scaleFactor = 1.2 self.minNeighbors = 3 def detect(self, image): # Override the detect function with custom behavior img = array(image).astype(np.uint8) gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) faces = self.faceCascade.detectMultiScale( gray, scaleFactor=self.scaleFactor, # now these variables belong to the class minNeighbors=self.minNeighbors, # they can be accessed and changed outside this function minSize=(int(self.params.minW), int(self.params.minH)), ) faces = [BoundingBox(x, y, w, h) for (x, y, w, h) in faces] return BoundingBoxesMessage(faces)

Next, each SICComponent needs a SICConnector and a main() function that calls the SICComponentManager, so we add this after we have instantiated the class:

Using the new component (step 6)

The work on the new custom component is done. Now, you must change the scripts that you want to use the new component. Here the demo_desktop_camera_facedetection.py is used as an example.

First, import the new connector rather than the old one

Make sure you ran ‘pip install -e .’ within the directory so that the ‘custom_components’ folder is linked to your environment’s packages.

And then change anywhere you use the old one to the new one

Run the component (step 7)

Run the new component in a separate shell as if it were the old service (assuming you’re inside ‘custom_components') folder:

You should see an output like this

And now you should be able to run your scripts with the new custom component!