I'm trying to make hand detection but I want to display only hand landmarks without a background.
normally it outputs with your real hand but I want it with only hand landmarks so my room and real hand won't show up.
HOW I WANT IT TO LOOK:
HOW IT LOOKS:
and code I'm using
#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
CodePudding user response:
You can use numpy for this.
import numpy as np
After your line img= cv2.flip(img,1)
, create a white image (background) of the same shape as img
img_w = np.empty(img.shape)
img_w.fill(255)
Then use this img_w
wherever you have used img
to display marks i.e. in these 4 lines.
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)