Skip to main content

Direct Implementation of computer vision with just a line of code

Project description

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()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Built Distribution

cvindrones-0.0.2-py3-none-any.whl (3.9 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page