我试着从这里运行一个例子.
import numpy as np
import cv2
img = cv2.imread('final.jpg')
imgray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(imgray,127,255,0)
contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(img, contours, -1, (0,255,0), 3)
Run Code Online (Sandbox Code Playgroud)
错误是
Traceback (most recent call last):
File "E:\PC\opencv3Try\findCExample.py", line 7, in <module>
contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
ValueError: too many values to unpack (expected 2)
Run Code Online (Sandbox Code Playgroud)
如果我删除"层次结构",则会在drawContours中出现错误:
TypeError: contours is not a numpy array, neither a scalar
Run Code Online (Sandbox Code Playgroud)
如果我在drawContours中使用轮廓[0]
cv2.error: E:\opencv\opencv\sources\modules\imgproc\src\drawing.cpp:2171: error: (-215) npoints > 0 in function cv::drawContours
Run Code Online (Sandbox Code Playgroud)
这可能有什么问题?
ber*_*rak 12
opencv 3 在这里有一个稍微改变的语法,返回值不同:
cv2.findContours(image, mode, method[, contours[, hierarchy[, offset]]]) ? image, contours, hierarchy
Run Code Online (Sandbox Code Playgroud)
Ulr*_*ern 12
继berak的回答,只是加入[-2:]到findContours()呼叫使他们两个的OpenCV 2.4和3.0的工作:
contours, hierarchy = cv2.findContours(...)[-2:]
Run Code Online (Sandbox Code Playgroud)
| 归档时间: |
|
| 查看次数: |
10353 次 |
| 最近记录: |