def showTinyContours(contours, shape):
contoursImage = np.zeros(shape, np.uint8)
for i in range(0, len(contours)):
color = (random.randint(20,255),random.randint(20,255), random.randint(20,255))
cv2.drawContours(contoursImage, contours, i, color)
cv2.imshow('name', contoursImage)
waitEnter()
from numpy.distutils.command.config import config
import cv2
import numpy as np
from print_contours import print_contours
from showTools import showTinyContours
from snippets import waitEnter
img = cv2.imread('resources/onePolygon2x.png')
imgGray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
# cv2.imshow('name', imgGray)
# waitEnter()
imgGray = cv2.fastNlMeansDenoising(imgGray, h=5, templateWindowSize=10)
# cv2.imshow('name', imgGray)
# waitEnter()
borders = cv2.Canny(imgGray, 50, 900)
cv2.imshow('name', borders)
waitEnter()
contours, hierarchy = cv2.findContours(borders, cv2.cv.CV_RETR_LIST, cv2.cv.CV_CHAIN_APPROX_TC89_KCOS)
showTinyContours(contours, img.shape)
contours = [ cv2.approxPolyDP(c, 5, False) for c in contours]
showTinyContours(contours, img.shape)
print_contours(contours, img.shape[:2])
