Want to find contours -> ValueError: not enough values to unpack (expected 3, got 2), this appears

My simple Python code is this

import cv2

img=cv2.imread('Materials/shapes.png')

blur=cv2.GaussianBlur(img,(3,3),0)
gray=cv2.cvtColor(blur,cv2.COLOR_BGR2GRAY)
returns,thresh=cv2.threshold(gray,80,255,cv2.THRESH_BINARY)

ret,contours,hierachy=cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

for cnt in contours:

    area=cv2.contourArea(cnt) #contour area
    
    if (area>1220):
        cv2.drawContours(img,[cnt],-1,(0,255,0),2)
        cv2.imshow('RGB',img)
        cv2.waitKey(1000)
        print(len(cnt))

import numpy as np

contours=np.array(contours)

print(contours)

This worked fine. But recently without me even making any changes. This was throwed to me

ret,contours,hierachy=cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

ValueError: not enough values to unpack (expected 3, got 2)

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Answers:

Method 1

Method 2

Answers:

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Method 1

the function cv2.findContours() has been changed to return only the contours and the hierarchy and not ret

you should change it to:

contours,hierachy=cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

Method 2

Well explained in this python code example, the best way to make your code version-proof is with this following syntax:

# check OpenCV version
major = cv2.__version__.split('.')[0]
if major == '3':
    ret, contours, hierarchy = cv2.findContours(im.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
else:
    contours, hierarchy = cv2.findContours(im.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

This provides you with a code that could run on either last or older version of OpenCV.

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0

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