You could also do it directly with the lines of the contour, without using proxy artists. import matplotlib import numpy as np import matplotlib.cm as cm import matplotlib.mlab as mlab import matplotlib.pyplot as plt matplotlib.rcParams[‘xtick.direction’] = ‘out’ matplotlib.rcParams[‘ytick.direction’] = ‘out’ delta = 0.025 x = np.arange(-3.0, 3.0, delta) y = np.arange(-2.0, 2.0, delta) X, Y … Read more
You can start by defining a mask in the range of the red tones of the book you are looking for. Then you can just find the contour with the biggest area and draw the rectangular shape of the book. import numpy as np import cv2 # load the image image = cv2.imread(“path_to_your_image.png”, 1) # … Read more
For a given path, you can get the points like this: p = cs.collections[0].get_paths()[0] v = p.vertices x = v[:,0] y = v[:,1]
the function cv2.findContours() has been changed to return only the contours and the hierarchy and not ret you should change it to: contours,hierachy=cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
I got the answer from the OpenCV Stack Exchange site. Answer THE ANSWER: I bet you are using the current OpenCV’s master branch: here the return statements have changed, see http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html?highlight=findcontours. Thus, change the corresponding line to read: _, contours, _= cv2.findContours(skin_ycrcb, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) Or: since the current trunk is still not stable and you … Read more