一. 此次我们来利用opencv2来进行机器视觉的学习

1. 首先我们先来进行一个小的案例的实现.

这次我们是将会进行一个小的矩形手势的移动.

import cv2
from cvzone.HandTrackingModule import HandDetector

cap = cv2.VideoCapture(0)
# cap.set(3, 1280)
# cap.set(4, 720)
colorR = (0, 0, 255)

detector = HandDetector(detectionCon=0.7)
cx, cy, w, h = 100, 100, 200, 200


while True:
    success, img = cap.read()
    img = cv2.flip(img, 1)
    detector.findHands(img)
    lmList, _ = detector.findPosition(img)
    if lmList:
        # 判断8和12的距离
        l, _, _ = detector.findDistance(8, 12, img)
        # print(l)

        # 如果食指和中指的距离大于70,就主动放弃拖动,
        if l < 70:
            cursor = lmList[8]
            if cx - w // 2 < cursor[0] < cx + w // 2 and cy - h // 2 < cursor[1] < cy + h // 2:
                colorR = 0, 255, 0
                cx, cy = cursor
            else:
                colorR = 0, 0, 255
    # 创建方框
    cv2.rectangle(img, (cx - w // 2, cy - h // 2), (cx + w // 2, cy + h // 2), colorR, cv2.FILLED)

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

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