s = 'This sentence is a string'
words = list(filter(lambda w: len(w) > 5, s.split()))
print(words) # ==> ['sentence', 'string']
当矩形移动一个小数距离时,我试图在图像上插入一个矩形。我从scipy使用RectBivariateSpline,但评估抛出以下错误:
template = It[rect[0]:rect[2]+1,rect[1]:rect[3]+1]
#warp is updated using p and It1 is warped
warp = rect #check if rect is passed as reference
np.add(warp,np.array((p[0],p[1],p[0],p[1])),out=warp, casting="unsafe")
X = np.arange(warp[0],warp[2]+1)
Y = np.arange(warp[1],warp[3]+1)
im_spline = RectBivariateSpline(X,Y,It1[warp[0]:warp[2]+1,warp[1]:warp[3]+1])
im_warped = im_spline.ev(X,Y)
我很困惑,因为X和Y不一定必须具有相同的形状