问题描述
我是这里的蟒蛇菜鸟。我正在为我的班级做一个项目，我们必须在其中制作一个图像过滤器。我能够让当前存在的两个过滤器（像素化和添加/删除颜色）分别工作，但是当一起使用时，它们只显示在更改颜色之前是否完成了像素化。有没有办法让它们最终都显示出来，无论它们的调用顺序如何？我的代码如下：
#####################################
# Your Filters with User Input #
#####################################
def filter2():
print("Code for filter2")
addr = int(input("How much red would you like to add to the image (between -255 and 255)? "))
addg = int(input("How much green would you like to add to the image (between -255 and 255)? "))
addb = int(input("How much blue would you like to add to the image (between -255 and 255)? "))
pixels = img.getdata()
new_pixels = []
for p in pixels:
new_pixels.append(p)
location = 0
while location < len(new_pixels):
p = new_pixels[location]
r = p[0]
g = p[1]
b = p[2]
newr = r + addr
newg = g + addg
newb = b + addb
new_pixels[location] = (newr,newg,newb)
location = location + 1
newImage = Image.new("RGB",img.size)
newImage.putdata(new_pixels)
return newImage
def filter3():
print("Code for filter3")
img = Image.open('image.jpg')
setting = input("How much pixelization would you like (low,medium,or high)? ")
if (setting == "low"):
imgSmall = img.resize((128,128),resample=Image.BILINEAR)
newImage = imgSmall.resize(img.size,Image.NEAREST)
elif (setting == "medium"):
imgSmall = img.resize((64,64),Image.NEAREST)
elif (setting == "high"):
imgSmall = img.resize((32,32),Image.NEAREST)
else:
print("Invalid setting")
return newImage
# Creates the four filter images and saves them to our files
a = grey()
a.save("grey.jpg")
b = filter1()
b.save("filter1.jpg")
c = filter2()
c.save("filter2.jpg")
d = filter3()
d.save("filter3.jpg")
# Create the combined filter image and saves it to our files
img.save("combinedFilters.jpg")
我已经为此工作了很长时间，如果能帮助解决我的问题，我们将不胜感激。
编辑：这是我能够将代码减少到最小的，同时保持对它应该做什么的想法。
解决方法
您似乎对如何创建和使用带参数的函数的基本知识有疑问。您应该可以在任何教程中找到它。
用参数定义函数 - 即 image
def filter1(image):
并在函数内部使用这个变量
def filter1(image):
# ... work with variable `image` ...
return image
然后你就可以运行
img = Image.open('image.jpg')
img_a = filter1(img)
如果您对其他功能也一样，那么您可以将图像从一个功能发送到另一个功能。
img = Image.open('image.jpg')
img_a = grey(img)
img_b = filter1(img_a)
img_c = filter2(img_b)
img_d = filter3(img_c)
img_d.save('combinedFilters.jpg')
def grey(image):
# ... work with variable `image` ...
return image.
def filter1(image):
# ... work with variable `image` ...
return image
def filter2(image):
# ... work with variable `image` ...
return image
def filter2(image):
# ... work with variable `image` ...
return image
# --- main ---
img = Image.open('image.jpg')
img_a = grey(img)
#img_a.save("grey.jpg")
img_b = filter1(img_a)
#img_b.save("filter1.jpg")
img_c = filter2(img_b)
#img_c.save("filter2.jpg")
img_d = filter3(img_c)
img_d.save("filter3.jpg")
或者你可以写得更短
img = Image.open('image.jpg')
img_d = filter3(filter2(filter1(grey(img))))
img_d.save("filter3.jpg")
顺便说一句：如果您以不同的顺序运行过滤器，那么您可能会得到相同或不同的结果 - 一切都取决于过滤器的工作方式。
,我让它按预期工作，我只需要从“filter3”函数中删除“img = Image.open('image.jpg')”行。