I also tried using the images without grayscale but the problem is the same. Is there another way to get them or am I doing anything complete false from the ground up? Python Opencv Documentation I tried using Images from 500x500 up to 8MP, I sharpened them afterwards, I even used the original Chessboards to get the corners. There are some questions about this problem here on stack overflow but none of the solutions there would work for my problem. The current problem I have is the following: I have the code written down below: import sys import numpy as np import cv2 image = cv2.imread(sys.argv) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) ret = False ret, corners = cv2.findChessboardCorners(image, (7,6), None) print ret okay so far so good, but it doesn't matter which image I am using my ret variable is turning False every single time, which basically means that there were no corners found. I have to write a camera-calibration an wanted to use python and opencv. (a documentation generation tool) and pdflatex (if you want to create a PDF version of it). Global Functions void cv:: Online documentation. VideoCapture('vtest OpenCV Documentation 3. Whenever working with stereoscopy, it is a necessity to calibrate the cameras and get the required intrinsic and extrinsic.
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