I try to run an example from here.
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)
The error is
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)
If I delete "hierarchy" the error arises in drawContours:
TypeError: contours is not a numpy array, neither a scalar
If I use contours[0] in drawContours
cv2.error: E:\opencv\opencv\sources\modules\imgproc\src\drawing.cpp:2171: error: (-215) npoints > 0 in function cv::drawContours
What problems could be here?
Depending on the OpenCV version, cv2.findContours()
has varying return signatures.
In OpenCV 3.4.X, cv2.findContours()
returns 3 items
image, contours, hierarchy = cv.findContours(image, mode, method[, contours[, hierarchy[, offset]]])
In OpenCV 2.X and 4.1.X, cv2.findContours()
returns 2 items
contours, hierarchy = cv.findContours(image, mode, method[, contours[, hierarchy[, offset]]])
You can easily obtain the contours regardless of the version like this:
cnts = cv2.findContours(image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
for c in cnts:
...
opencv 3 has a slightly changed syntax here, the return values differ:
cv2.findContours(image, mode, method[, contours[, hierarchy[, offset]]]) → image, contours, hierarchy
Following on berak's answer, just adding [-2:]
to findContours()
calls makes them work for both OpenCV 2.4 and 3.0:
contours, hierarchy = cv2.findContours(...)[-2:]
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