cvindrones 0.0.2

Direct Implementation of computer vision with just a line of code

More about cvindrones

It is a package having pre-built codes of face recognition, hands tracking module and body pose tracking. Implemented with a single line of code.

https://www.lakshaykumar.tech/

What Is This?

Implement the power of Computer Vision in your program with just few simple lines of code. Hand detection, Body Pose and face Recognition modules are included in this package

faceProcessor(image, draw=False)

This function returns a 1D list of 3 items. Image (with rectangular box, if drawArea=True), area of face and [x,y,w,h]

bodyProcessor(image, draw=False)

This function returns a list of 3 items i.e. Image (with rectangular box, if drawArea=True), list of body points and area of body.

handProcessor(image, draw=False)

This function returns a list having image (with hand connections, if drawArea=True) and points in handlandmarks

Usage

faceProcessor(image, draw=True)

from cvindrones import faceProcessor
import cv2
cap = cv2.VideoCapture(0)
while True:
    success, image = cap.read()
    funValues = faceProcessor(image,draw=True)
    image = funValues[0]
    area = funValues[1]
    x,y,w,h = funValues[2]
    cv2.imshow('Faces', image)
    cv2.waitKey(1)
cap.release()

bodyProcessor(image, draw=True)

from cvindrones import bodyProcessor
import cv2
cap = cv2.VideoCapture(0)
while True:
    success, image = cap.read()
    funValues = bodyProcessor(image,draw=True)
    image = funValues[0]
    poseList = funValues[1]
    area = funValues[2]
    cv2.imshow('Body Posture Detection', image)
    cv2.waitKey(1)
cap.release()

handProcessor(image,draw=True)

from cvindrones import handProcessor
import cv2
cap = cv2.VideoCapture(0)
while True:
    success, image = cap.read()
    funValues = handProcessor(image,draw=True)
    image = funValues[0]
    handLms = funValues[1]
    cv2.imshow('Hand Gesture Controller', image)
    cv2.waitKey(1)
cap.release()