在进行AR绘制时出错

Question

我试图用python和opencv库制作一个AR绘图程序，但由于某种原因，当我运行我的代码时，程序并没有划出界限，我也不知道为什么。我遵循了yt：https://www.youtube.com/watch?v=ZiwZaAVbXQo&t=201s上的本教程，并通过删除颜色选择菜单和删除HandTrackingModule.py文件对其进行了简化，因为我刚刚从cvzone.HandTrackingModule库导入了HandDetector，并编辑了一些部分，因为我使用了opencv的最新版本。

，所以错误是我的程序没有画线.

我使用的是cvzone版本1.5.2 (最新版本)

这是我的密码：

import cv2
import numpy as np
import os
from cvzone.HandTrackingModule import HandDetector #----> this is the library I imported whcih was made by him
 
brushThickness = 25

drawColor = (0, 0, 0)
 
cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)
 
detector = HandDetector(detectionCon=0.65,maxHands=1) #here I imported the HandDetector
xp, yp = 0, 0
imgCanvas = np.zeros((480, 640, 3), np.uint8)
 
while True:
 
    # 1. Import image
    success, img = cap.read()
    img = cv2.flip(img, 1)
 
    # 2. Find Hand Landmarks
    hands, img = detector.findHands(img, flipType=False)
    
    if hands:
        lmList = hands[0]['lmList'] #this was the change I made because my version does not support his line
        #he used : lmList = detector.findPosition(img, draw=False)
 
        if len(lmList) != 0:
    
            # tip of index and middle fingers
            x1, y1 = lmList[8][:2]
            x2, y2 = lmList[12][:2]
    
            # 3. Check which fingers are up
            fingers = detector.fingersUp(hands[0])

            # 4. If two index fingers are up - drawing mode -----> somewhere here is the error becuase my program does not draw the line
            if fingers[1] == 1 and fingers[2] == 1:
                cv2.circle(img, (x1, y1), 15, drawColor, cv2.FILLED)

                if xp == 0 and yp == 0:
                    xp, yp = x1, y1
    
                cv2.line(img, (xp, yp), (x1, y1), drawColor, brushThickness)
    
                xp, yp = x1, y1
    
            # Clear Canvas when all fingers are up
            if all (x >= 1 for x in fingers):
                imgCanvas = np.zeros((480, 640, 3), np.uint8)
    
        imgGray = cv2.cvtColor(imgCanvas, cv2.COLOR_BGR2GRAY)
        _, imgInv = cv2.threshold(imgGray, 50, 255, cv2.THRESH_BINARY_INV)
        imgInv = cv2.cvtColor(imgInv,cv2.COLOR_GRAY2BGR)
        img = cv2.bitwise_and(img, img, imgInv)
        img = cv2.bitwise_or(img, img, imgCanvas)

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

Answer 1

我搞砸了循环指令，这是解决方案(我还补充说，在所有手指都抬起后行擦除)：

import cv2
import numpy as np
from cvzone.HandTrackingModule import HandDetector


brushThickness = 25

drawColor = (255, 0, 255)
 
cap = cv2.VideoCapture(0)
cap.set(3, 640)
cap.set(4, 480)
 
detector = HandDetector(detectionCon=0.65,maxHands=1)
xp, yp = 0, 0
imgCanvas = np.zeros((480, 640, 3), np.uint8)

 
while True:
 
    success, img = cap.read()
    img = cv2.flip(img, 1)
 
    hands, img = detector.findHands(img)
    
    if hands:
        lmList = hands[0]['lmList']
        if len(lmList) != 0:
            
            # tip of index and middle fingers
            x1, y1 = lmList[8][:2]
            x2, y2 = lmList[12][:2]
    
            #Check which fingers are up
            fingers = detector.fingersUp(hands[0])
            
            #Drawing Mode - Index finger is up
            if fingers == [0, 1, 0, 0, 0]:
                cv2.circle(img, (x1, y1), 15, drawColor, cv2.FILLED)
                #print("Drawing Mode")
                if xp == 0 and yp == 0:
                    xp, yp = x1, y1

                #ce je sam img pol update vsakic in nemors risat, rise v canvas 
                cv2.line(imgCanvas, (xp, yp), (x1, y1), drawColor, brushThickness)
              
                xp, yp = x1, y1

            #reset when two fingers are up
            if fingers == [0, 1, 1, 0, 0]:
                xp, yp = x1, y1
                
                
            # Clear Canvas when all fingers are up
            if all (x >= 1 for x in fingers):
                 imgCanvas = np.zeros((480, 640, 3), np.uint8)
    
    #zdruzis canvas pa img 
    imgGray = cv2.cvtColor(imgCanvas, cv2.COLOR_BGR2GRAY)
    _, imgInv = cv2.threshold(imgGray, 50, 255, cv2.THRESH_BINARY_INV)
    imgInv = cv2.cvtColor(imgInv,cv2.COLOR_GRAY2BGR)
    img = cv2.bitwise_and(img,imgInv)
    img = cv2.bitwise_or(img,imgCanvas)
 

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