#Test pick centers #Should give S points evenly spaced across the space gridInterval = S.calcGridInterval(imgSpace.shape, K) centers = S.pickCenters(K, gridInterval, imgSpace, imgSize) print centers.shape # print centers X0 = centers[:,3] Y0 = centers[:,4] # print X,Y plt.plot(X0,Y0,"rx") #Test rectangle extraction indexes = S.calcRectIndexes(imgSpace, centers[12], gridInterval) rectangle = imgSpace[indexes] X1 = rectangle[:,3] Y1 = rectangle[:,4] plt.plot(X1,Y1,"bx") plt.plot(X0,Y0,"rx") #Test distance calculation distance = S.calcDistance(gridInterval, rectangle, centers[12]) print rectangle.shape print distance.shape #Test clustering distances = S.calcAllDistances(imgSpace, centers, K, gridInterval) print distances.shape
