本文整理汇总了Python中SimpleCV.Image.createAlphaMask方法的典型用法代码示例。如果您正苦于以下问题：Python Image.createAlphaMask方法的具体用法？Python Image.createAlphaMask怎么用？Python Image.createAlphaMask使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类SimpleCV.Image的用法示例。
在下文中一共展示了Image.createAlphaMask方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Camera
# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import createAlphaMask [as 别名]
#!/usr/bin/python
import time, webbrowser
from operator import add
from SimpleCV import Color, ColorCurve, Camera, Image, pg, np, cv
from SimpleCV.Display import Display
cam = Camera(0)
time.sleep(.1) # uhg
display = Display((800,600))
counter = 0
# load the cascades
face_cascade = cv.Load("./../Features/HaarCascades/face.xml")
nose_cascade = cv.Load("./../Features/HaarCascades/nose.xml")
stache = Image("./stache.png") # load the stache
mask = stache.createAlphaMask() # load the stache mask
count = 0
while( display.isNotDone() ):
#count = count + 1
img = cam.getImage()
img = img.scale(.5) #use a smaller image
faces = img.findHaarFeatures(face_cascade) #find faces
if( faces is not None ): # if we have a face
faces = faces.sortArea() #get the biggest one
face = faces[-1]
myFace = face.crop() # get the face image
noses = myFace.findHaarFeatures(nose_cascade) #find the nose
if( noses is not None ):# if we have a nose
noses = noses.sortArea()
nose = noses[0] # get the biggest
# these get the upper left corner of the face/nose示例2: Display
# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import createAlphaMask [as 别名]
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 16 13:56:40 2014
@author: Kelly
"""
from SimpleCV import Camera, Display, Image
cam=Camera(0)
disp= Display(cam.getImage().size())
stache=Image("mustache.jpg")
mask=stache.createAlphaMask()
while disp.isNotDone():
img=cam.getImage()
faces=img.findHaarFeatures('face')
if (faces is not None):
face=faces.sortArea()[-1]
myface=face.crop()
noses=myface.findHaarFeatures('nose')
if (noses is not None ):
nose=noses.sortArea()[-1]
xmust=face.points[0][0]+nose.x+ (stache.width/2)
ymust= face.points[0][1]+nose.y+(2*nose.height()/3)
img=img.blit(stache,pos=(xmust,ymust), mask=mask)
img.save(disp)