如何在opencv中显示没有背景的手

Question

我正在尝试进行手部检测，但我只想显示没有背景的手部地标。

通常它会用你的真手输出，但我想要它只有手的地标，这样我的房间和真手就不会出现。

我希望它看起来如何：

外观：

和我正在使用的代码

#credits: https://github.com/kulin-patel/Hand-Tracking

import cv2
import mediapipe as mp
import time

frameWidth = 1280
frameHeight = 720
cap = cv2.VideoCapture(0)
cap.set(3, frameWidth)
cap.set(4, frameHeight)
mpHands=mp.solutions.hands
hands=mpHands.Hands()
mpDraw = mp.solutions.drawing_utils

pTime = 0
cTime = 0

while True:
    success, img = cap.read()
    img= cv2.flip(img,1)
    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
    results = hands.process(imgRGB)
    #print(results.multi_hand_landmarks)

    if results.multi_hand_landmarks:
        for handLms in results.multi_hand_landmarks: 
        #handLMs are 21 points. so we need conection too-->mpHands.HAND_CONNECTIONS
            for id, lm in enumerate(handLms.landmark):
                #print(id, lm)
                #lm = x,y cordinate of each landmark in float numbers. lm.x, lm.y methods
                #So, need to covert in integer
                h, w, c =img.shape
                cx, cy = int(lm.x * w), int(lm.y * h)
                #print(id, cx, cy)
                # if id == 4: #(To draw 4th point)
                #cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
            mpDraw.draw_landmarks(img, handLms, mpHands.HAND_CONNECTIONS) #drawing points and lines(=handconections)

    #Write frame rate
    cTime = time.time()
    fps = 1 / (cTime - pTime)
    pTime = cTime
    cv2.putText(img, "FPS= " + str(int(fps)), (10, 20), cv2.FONT_HERSHEY_PLAIN, 1,(0, 0, 0), 1)
    
    cv2.imshow('image', img)
    if cv2.waitKey(1)==27:
        break

Answer 1

你可以为此使用 numpy。

import numpy as np

在你的行 img= cv2.flip(img,1) 之后，创建一个与 img

形状相同的白色图像（背景）

img_w = np.empty(img.shape)
img_w.fill(255)

然后在您使用 img 显示标记的任何地方使用此 img_w，即在这 4 行中。

             cv2.circle(img, (cx, cy), 15, (255, 0, 255), cv2.FILLED)
        mpDraw.draw_landmarks(img, handLms, mpHands.HAND_CONNECTIONS)
cv2.putText(img, "FPS= " + str(int(fps)), (10, 20), cv2.FONT_HERSHEY_PLAIN, 1,(0, 0, 0), 1)

cv2.imshow('image', img)

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