OpenCV version: 3.4.0 (couldn't create tag for it)
While trying to approximate found contours I'm getting following errors:
cv2.error: /io/opencv/modules/imgproc/src/shapedescr.cpp:237: error: (-215) count >= 0 && (depth == 5 || depth == 4) in function arcLength
The error is caused by line
eps=cv2.arcLength(cnt,True)
Also if I comment this part of code
eps=cv2.arcLength(cnt,True)
approx = cv2.approxPolyDP(cnt,0.01*eps,True)
I get following error
cv2.error: /io/opencv/modules/imgproc/src/drawing.cpp:2506: error: (-215) npoints > 0 in function drawContours
from line:
cv2.drawContours(gray1,[cnt],0,(0,0,255, 1),3)
Maybe it is (somehow) caused by first splitting and then merging channels of the video input?
I found similar problem which seems to be solved by
gray1 = cv2.convertScaleAbs(gray1)
Which infortunately wasn't my case. Help will be greatly appreciated. :)
I'm providing the code below:
import numpy as np
import cv2
cap = cv2.VideoCapture('video2.mp4')
while cap.isOpened():
ret, frame = cap.read()
frame = cv2.resize(frame, (640, 480), interpolation = cv2.INTER_LINEAR)
gray1=frame # Is this right?
frameArea = frame.shape[0]*frame.shape[1]
# split the RGB image into R,G,B channels respectively
b, g, r = frame[:, :, 0], frame[:, :, 1], frame[:, :, 2]
# put back thresholded channels into one RGB image
retvalb, b = cv2.threshold(b, 90, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)
retvalg,g = cv2.threshold(g, 0, 70, cv2.THRESH_BINARY+cv2.THRESH_OTSU)
retvalr,r = cv2.threshold(r, 0, 70, cv2.THRESH_BINARY+cv2.THRESH_OTSU)
frame = cv2.merge((b,g,r))
# create gray image in order to further threshold the result
gray1 = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY);
retvalgray, gray = cv2.threshold(gray1,0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU);
gray1 = cv2.bilateralFilter(gray1, 11, 17, 17)
gray1 = cv2.convertScaleAbs(gray1)
# find the region of interest by drawing contours around it
_, val,cnts = cv2.findContours(gray1, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) #gray / edged ?
for cnt in cnts:
eps=cv2.arcLength(cnt,True)
approx = cv2.approxPolyDP(cnt,0.01*eps,True)
cv2.drawContours(gray1,[cnt],0,(0,0,255, 1),3)
cv2.imshow("Detection", gray1)
if cv2.waitKey(1) & 0xFF is ord('q'):
cv2.destroyAllWindows()
print("Stop programm and close all windows")
break