Created
September 11, 2019 15:34
-
-
Save shubhamwagh/b8148e65a8850a974efd37107ce3f2ec to your computer and use it in GitHub Desktop.
Revisions
-
shubhamwagh created this gist
Sep 11, 2019 .There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1 @@ [Link](https://agniva.me/scipy/2016/10/25/contour-smoothing.html) This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,22 @@ import numpy import cv2 from scipy.interpolate import splprep, splev smoothened = [] for contour in contours: x,y = contour.T # Convert from numpy arrays to normal arrays x = x.tolist()[0] y = y.tolist()[0] # https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.interpolate.splprep.html tck, u = splprep([x,y], u=None, s=1.0, per=1) # https://docs.scipy.org/doc/numpy-1.10.1/reference/generated/numpy.linspace.html u_new = numpy.linspace(u.min(), u.max(), 25) # https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.interpolate.splev.html x_new, y_new = splev(u_new, tck, der=0) # Convert it back to numpy format for opencv to be able to display it res_array = [[[int(i[0]), int(i[1])]] for i in zip(x_new,y_new)] smoothened.append(numpy.asarray(res_array, dtype=numpy.int32)) # Overlay the smoothed contours on the original image cv2.drawContours(original_img, smoothened, -1, (255,255,255), 2)