Creating your own contour in opencv using python

By looking at the format of the contours I would think something like this should be sufficient:

contours = [numpy.array([[1,1],[10,50],[50,50]], dtype=numpy.int32) , numpy.array([[99,99],[99,60],[60,99]], dtype=numpy.int32)]

This small program gives an running example:

import numpyimport cv2contours = [numpy.array([[1,1],[10,50],[50,50]], dtype=numpy.int32) , numpy.array([[99,99],[99,60],[60,99]], dtype=numpy.int32)]drawing = numpy.zeros([100, 100],numpy.uint8)for cnt in contours:    cv2.drawContours(drawing,[cnt],0,(255,255,255),2)cv2.imshow('output',drawing)cv2.waitKey(0)

To create your own contour from a python list of points L

L=[[x1,y1],[x2,y2],[x3,y3],[x4,y4],[x5,y5],[x6,y6],[x7,y7],[x8,y8],[x9,y9],...[xn,yn]]

Create a numpy array ctr from L, reshape it and force its type

ctr = numpy.array(L).reshape((-1,1,2)).astype(numpy.int32)

ctr is our new countour, let's draw it on an existing image

cv2.drawContours(image,[ctr],0,(255,255,255),1)

A contour is simply a curve joining all continuous points so to create your own contour, you can create a np.array() with your (x,y) points in clockwise order

points = np.array([[25,25], [70,10], [150,50], [250,250], [100,350]])

That's it!

There are two methods to draw the contour onto an image depending on what you need:

Contour outline

If you only need the contour outline, use cv2.drawContours()

cv2.drawContours(image,[points],0,(0,0,0),2)

Filled contour

To get a filled contour, you can either use cv2.fillPoly() or cv2.drawContours() with thickness=-1

cv2.fillPoly(image, [points], [0,0,0]) # OR# cv2.drawContours(image,[points],0,(0,0,0),-1)

Full example code for completeness

import cv2import numpy as np# Create blank white imageimage = np.ones((400,400), dtype=np.uint8) * 255# List of (x,y) points in clockwise orderpoints = np.array([[25,25], [70,10], [150,50], [250,250], [100,350]])# Draw points onto imagecv2.drawContours(image,[points],0,(0,0,0),2)# Fill points onto image# cv2.fillPoly(image, [points], [0,0,0])cv2.imshow('image', image)cv2.waitKey()