OpenCV+Python 的手部识别脚本不起作用

Question

我正在尝试让以下脚本工作。我从这个网站上找到了它，但我不断得到error：

contours， hierarchy = cv2.findContours(thresh1，cv2.RETR_TREE，CV2.CHAIN_APPROX_SIMPLE( 值错误：要解压缩的值太多(预期为 2(

我在Python和OpenCV方面几乎没有经验，所以如果这里有人可以提供帮助，我们将不胜感激！ 我正在运行Mac OS X 10.13.4，OpenCV3.4.1，Python 3.6.5 和

这是我正在尝试工作的脚本：

import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while( cap.isOpened() ) :
ret,img = cap.read()
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray,(5,5),0)
ret,thresh1 = cv2.threshold(blur,70,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
contours, hierarchy = cv2.findContours(thresh1,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
drawing = np.zeros(img.shape,np.uint8)
max_area=0
for i in range(len(contours)):
cnt=contours[i]
area = cv2.contourArea(cnt)
if(area>max_area):
max_area=area
ci=i
cnt=contours[ci]
hull = cv2.convexHull(cnt)
moments = cv2.moments(cnt)
if moments['m00']!=0:
cx = int(moments['m10']/moments['m00']) # cx = M10/M00
cy = int(moments['m01']/moments['m00']) # cy = M01/M00
centr=(cx,cy)       
cv2.circle(img,centr,5,[0,0,255],2)       
cv2.drawContours(drawing,[cnt],0,(0,255,0),2) 
cv2.drawContours(drawing,[hull],0,(0,0,255),2) 
cnt = cv2.approxPolyDP(cnt,0.01*cv2.arcLength(cnt,True),True)
hull = cv2.convexHull(cnt,returnPoints = False)
if(1):
defects = cv2.convexityDefects(cnt,hull)
mind=0
maxd=0
for i in range(defects.shape[0]):
s,e,f,d = defects[i,0]
start = tuple(cnt[s][0])
end = tuple(cnt[e][0])
far = tuple(cnt[f][0])
dist = cv2.pointPolygonTest(cnt,centr,True)
cv2.line(img,start,end,[0,255,0],2)
cv2.circle(img,far,5,[0,0,255],-1)
print(i)
i=0
cv2.imshow('output',drawing)
cv2.imshow('input',img)
k = cv2.waitKey(10)
if k == 27:
break

非常感谢您提前！

Answer 1

函数 cv2.fincContours 自 OpenCV 3.x 以来发生了变化，并在 OpenCV 4.x 中发生了变化。试试这个：

## Find contours
if cv2.__version__.startswith("3."):
_, contours, _ = cv2.findContours(thresh1,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
else:
contours, _ = cv2.findContours(thresh1,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

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1. 如何在不同的OpenCV版本中使用"cv2.findContours"？