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