track.py

from cvzone.HandTrackingModule import HandDetector
import cv2

#cap = cv2.VideoCapture("raw_finger.mp4")
cap = cv2.VideoCapture("cropped_raw.mov")
fps = cap.get(cv2.CAP_PROP_FPS)
video_writer = cv2.VideoWriter("output_AI.mp4", cv2.VideoWriter_fourcc(*'mp4v'), fps, (1280, 720))

detector = HandDetector(detectionCon=0.8, maxHands=2)
while True:
    # Get image frame
    success, img = cap.read()
    img = cv2.resize(img, (1280, 720))
    # Find the hand and its landmarks
    hands, img = detector.findHands(img)  # with draw
    # hands = detector.findHands(img, draw=False)  # without draw

    if hands:
        # Hand 1
        hand1 = hands[0]
        lmList1 = hand1["lmList"]  # List of 21 Landmark points
        bbox1 = hand1["bbox"]  # Bounding box info x,y,w,h
        centerPoint1 = hand1['center']  # center of the hand cx,cy
        handType1 = hand1["type"]  # Handtype Left or Right

        fingers1 = detector.fingersUp(hand1)

        if len(hands) == 2:
            # Hand 2
            hand2 = hands[1]
            lmList2 = hand2["lmList"]  # List of 21 Landmark points
            bbox2 = hand2["bbox"]  # Bounding box info x,y,w,h
            centerPoint2 = hand2['center']  # center of the hand cx,cy
            handType2 = hand2["type"]  # Hand Type "Left" or "Right"

            fingers2 = detector.fingersUp(hand2)

            # Find Distance between two Landmarks. Could be same hand or different hands
            length, info, img = detector.findDistance(lmList1[8], lmList2[8], img)  # with draw
            # length, info = detector.findDistance(lmList1[8], lmList2[8])  # with draw
    # Display
    cv2.imshow("Image", img)
    cv2.waitKey(1)
    video_writer.write(img)