This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

Overview

CVZone

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

Installation

You can simply use pip to install the latest version of cvzone.

pip install cvzone


60 FPS Face Detection


import cvzone
import cv2

cap = cv2.VideoCapture(0)
detector = cvzone.FaceDetector()

while True:
    success, img = cap.read()
    img, bboxs = detector.findFaces(img)
    print(bboxs)
    cv2.imshow("Image", img)
    cv2.waitKey(1)

Hand Tracking


Basic Code Example

import cvzone
import cv2

cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)
detector = cvzone.HandDetector(detectionCon=0.5, maxHands=1)

while True:
    # Get image frame
    success, img = cap.read()

    # Find the hand and its landmarks
    img = detector.findHands(img)
    lmList, bbox = detector.findPosition(img)
    
    # Display
    cv2.imshow("Image", img)
    cv2.waitKey(1)

Finding How many finger are up

if lmList:
        # Find how many fingers are up
        fingers = detector.fingersUp()
        totalFingers = fingers.count(1)
        cv2.putText(img, f'Fingers:{totalFingers}', (bbox[0] + 200, bbox[1] - 30),
                    cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)

Finding distace between two fingers

                 
if lmList:
        # Find Distance Between Two Fingers
        distance, img, info = detector.findDistance(8, 12, img)
        cv2.putText(img, f'Dist:{int(distance)}', (bbox[0] + 400, bbox[1] - 30),
                    cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)

Find Hand Type - i.e. Left or Right

if lmList:
        # Find Hand Type
        myHandType = detector.handType()
        cv2.putText(img, f'Hand:{myHandType}', (bbox[0], bbox[1] - 30),
                    cv2.FONT_HERSHEY_PLAIN, 2, (0, 255, 0), 2)


Pose Estimation


import cvzone
import cv2

cap = cv2.VideoCapture(0)
detector = cvzone.PoseDetector()
while True:
    success, img = cap.read()
    img = detector.findPose(img)
    lmList = detector.findPosition(img, draw=False)
    if lmList:
        print(lmList[14])
        cv2.circle(img, (lmList[14][1], lmList[14][2]), 15, (0, 0, 255), cv2.FILLED)

    cv2.imshow("Image", img)
    cv2.waitKey(1)


Face Mesh Detection


import cvzone
import cv2

cap = cv2.VideoCapture(0)
detector = cvzone.FaceMeshDetector(maxFaces=2)
while True:
    success, img = cap.read()
    img, faces = detector.findFaceMesh(img)
    if faces:
        print(faces[0])
    cv2.imshow("Image", img)
    cv2.waitKey(1)

Stack Images


import cvzone
import cv2

cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)

while True:
    success, img = cap.read()
    imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    imgList = [img, img, imgGray, img, imgGray, img,imgGray, img, img]
    stackedImg = cvzone.stackImages(imgList, 3, 0.4)

    cv2.imshow("stackedImg", stackedImg)
    cv2.waitKey(1)


Corner Rectangle



import cvzone
import cv2

cap = cv2.VideoCapture(0)
detector = cvzone.HandDetector()

while True:
    # Get image frame
    success, img = cap.read()

    # Find the hand and its landmarks
    img = detector.findHands(img, draw=False)
    lmList, bbox = detector.findPosition(img, draw=False)
    if bbox:
        # Draw  Corner Rectangle
        cvzone.cornerRect(img, bbox)

    # Display
    cv2.imshow("Image", img)
    cv2.waitKey(1)

FPS


import cvzone
import cv2

fpsReader = cvzone.FPS()
cap = cv2.VideoCapture(0)
cap.set(3, 1280)
cap.set(4, 720)

while True:
    success, img = cap.read()
    fps, img = fpsReader.update(img,pos=(50,80),color=(0,255,0),scale=5,thickness=5)
    cv2.imshow("Image", img)
    cv2.waitKey(1)
Issues
  • Changed a small bit of code in sample code in the readme file

    Changed a small bit of code in sample code in the readme file

    Added the destroy all windows and cap.release command in the sample code in readme file

    opened by sivasai9398 0
  • Added pyserial to install_requires

    Added pyserial to install_requires

    Added 'pyserial' to install_requires in the setup.py file to fix the error arising from SerialModule.py after installing it locally.

    opened by jeff283 0
  • Pose estimation

    Pose estimation

    I tried to run the pose estimation code on my webcam and it works great for single person but when another person appears in front of the camera it ignores the second person. so does it support detecting multiple persons or not?

    opened by Mustafa744 0
  • Update HandTrackingModule.py

    Update HandTrackingModule.py

    made a change in handtracking.py that you can change color of landmark points and connections between landmarks

    opened by aryan765b 0
Owner
CVZone
CVZone
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