![]() ![]() method: This defines the contour-approximation method.You can learn more details on these options here. More contour retrieval modes are available, we will be discussing them too. We provided this as RETR_TREE, which means the algorithm will retrieve all possible contours from the binary image. mode: This is the contour-retrieval mode.image: The binary input image obtained in the previous step. ![]() For optional arguments, please refer to the documentation page here. It has three required arguments, as shown below. Now, let’s find and draw the contours, using the CHAIN_APPROX_NONE method. The resultant binary image after applying the threshold function. Start by importing OpenCV, and reading the input image. Finding and Drawing Contours using OpenCV The above steps will make much more sense, and become even clearer when we will start to code. Once contours have been identified, use the drawContours() function to overlay the contours on the original RGB image.
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