سلام استاد
من تو ی پروژه ای به این ارور بر خوردم
مشکلش رو درک نمیکنم , هم سه تا وریبل داره و هم سه تا اینپوت
_, conts, h = cv2.findContours(maskClose,cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
ValueError: not enough values to unpack (expected 3, got 2)
سورس کد هم این هست :
import cv2
import numpy as np
from sklearn.metrics import pairwise
cap = cv2.VideoCapture(0)
kernelOpen = np.ones((5,5))
kernelClose = np.ones((20,20))
#HSV color range which should be detected
lb = np.array([20,100,100])
ub = np.array([120,255,255])
while True:
ret, frame = cap.read()
flipped = cv2.flip(frame, 1)
flipped = cv2.resize(flipped,(500,400))
#use HSV of yellow to detect only yellow color
imgSeg = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
imgSegFlipped = cv2.flip(imgSeg, 1)
imgSegFlipped = cv2.resize(imgSegFlipped,(500,400))
#masking and filtering all shades of yellow
mask = cv2.inRange(imgSegFlipped, lb, ub)
mask = cv2.resize(mask,(500,400))
#apply morphology to avoid jiggers
maskOpen = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernelOpen)
maskOpen = cv2.resize(maskOpen,(500,400))
maskClose = cv2.morphologyEx(maskOpen, cv2.MORPH_CLOSE, kernelClose)
maskClose = cv2.resize(maskClose,(500,400))
final = maskClose
_, conts, h = cv2.findContours(maskClose,cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
if(len(conts)!=0):
b = max(conts, key=cv2.contourArea)
west = tuple(b[b[:, :, 0].argmin()][0])
east = tuple(b[b[:, :, 0].argmax()][0])
north = tuple(b[b[:, :, 1].argmin()][0])
south = tuple(b[b[:, :, 1].argmax()][0])
centre_x = (west[0]+east[0])/2
centre_y = (north[0]+south[0])/2
cv2.drawContours(flipped, b, -1, (0,255,0), 3)
cv2.circle(flipped, west, 6, (0,0,255), -1)
cv2.circle(flipped, east, 6, (0,0,255), -1)
cv2.circle(flipped, north, 6, (0,0,255), -1)
cv2.circle(flipped, south, 6, (0,0,255), -1)
cv2.circle(flipped, (int(centre_x),int(centre_y)), 6, (255,0,0), -1)
cv2.imshow('video', flipped)
cv2.imshow('mask', mask)
cv2.imshow('mask open', maskOpen)
cv2.imshow('mask close', maskClose)
if cv2.waitKey(1) & 0xFF == 32:
break
cap.release()
cv2.destroyAllWindows()
هر کار میکنم درست نمیشه
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