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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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The “ValueError: not enough values to unpack” error is raised when you try to unpack more values from an iterable object than those that exist. To fix this error, make sure the number of values you unpack from an iterable is equal to the number of values in that iterable.
Contours are defined as the line joining all the points along the boundary of an image that are having the same intensity. Contours come handy in shape analysis, finding the size of the object of interest, and object detection. OpenCV has findContour() function that helps in extracting the contours from the image.
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) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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