Detect faces using ML models just with few lines of code

## Project description

It is a package having pre-built codes of face detection. You can implement with just single line of code.

# Function

faceDetector(image, draw=False)

• Function Parameter : This function takes image (a single frame) as input and a variable draw with default value False. You can change the value of parameter draw to True if you want to draw the rectangular box over the face on the image frame.
• Output : This function returns a nested list of length 2. The element at index 1 is the frame and a list of [x,y,w,h]. x is the minimum x co-ordinates of the face, y is the minimum y co-ordinate of face, w is the width and h is the height of the face. NOTE that the frame will have rectangular box over the face if value of draw is set to True in the function.

# Usage

faceDetector(image, draw=False)

With detection over the face directly through function

from lkfacedetection import faceDetector
import cv2
cap = cv2.VideoCapture(0)
while True:
functionValues = faceDetector(image,draw=True) #draw over the frame from function
frame = functionValues[0]
cv2.imshow('Face', frame)
cv2.waitKey(1)
cap.release()


With detection externally using the values from function

from lkfacedetection import faceDetector
import cv2
cap = cv2.VideoCapture(0)
while True:
functionValues = faceDetector(image) #doesn't draw over the frame
frame = functionValues[0]
x,y,w,h = functionValues[1]
cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2) #Draws a rectangle over the face
cv2.imshow('Face', frame)
cv2.waitKey(1)
cap.release()


# Developer

This package is developed by Lakshay Kumar an enthusiastic AI Researcher. This is developed keeping in mind the pain to write lengthy lines of code just to detect faces. This will enable other developers to focus more on implementation part rather than spending time on coding the face detection module.
Feel free to share your feedback via mail

## Project details

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