Pillow tutorial

from PIL import Image
im = Image.open("hopper.ppm")
from __future__ import print_function
print(im.format, im.size, im.mode)
#打應結果
PPM (512, 512) RGB

　　讓圖片顯示，im.show(),由於打開是暫時的因此顯示圖片效果不太好，並且還有15功能,因此通常用來測試顯示

改變圖片的後綴，pil能夠根據文件內容，本身判斷文件類型

from __future__ import print_function
import os, sys
from PIL import Image

for infile in sys.argv[1:]:
    f, e = os.path.splitext(infile)
    outfile = f + ".jpg"
    if infile != outfile:
        try:
            Image.open(infile).save(outfile)
        except IOError:
            print("cannot convert", infile)

　

Create JPEG thumbnails

若是後綴不合法會用第二個參數

from __future__ import print_function
import os, sys
from PIL import Image

size = (128, 128)

for infile in sys.argv[1:]:
    outfile = os.path.splitext(infile)[0] + ".thumbnail"
    if infile != outfile:
        try:
            im = Image.open(infile)
            im.thumbnail(size)
            im.save(outfile, "JPEG")
        except IOError:
            print("cannot create thumbnail for", infile)

　　

Identify Image Files

先打開文件確認類型，讀取/解析會在稍後執行

from __future__ import print_function
import sys
from PIL import Image

for infile in sys.argv[1:]:
    try:
        with Image.open(infile) as im:
            print(infile, im.format, "%dx%d" % im.size, im.mode)
    except IOError:
        pass

　　

Copying a subrectangle from an image

截取圖片大小, (left, upper, right, lower)，座標 (0, 0) in the upper left corner，準確來講是300*300pixeels

box = (100, 100, 400, 400)
region = im.crop(box)

　　把圖片反轉180度再填回去

region = region.transpose(Image.ROTATE_180)
im.paste(region, box)
　　

　　

Rolling an image

def roll(image, delta):
    """Roll an image sideways."""
    xsize, ysize = image.size

    delta = delta % xsize
    if delta == 0: return image

    part1 = image.crop((0, 0, delta, ysize))
    part2 = image.crop((delta, 0, xsize, ysize))
#load是由於crop是個延遲操做，不這樣會在第二步保存不到
    part1.load()
    part2.load()
    image.paste(part2, (0, 0, xsize-delta, ysize))
    image.paste(part1, (xsize-delta, 0, xsize, ysize))

    return image

　　

Splitting and merging bands

拆分紅原生三原色，換位置再合併

r, g, b = im.split()
im = Image.merge("RGB", (b, g, r))

　　簡單的幾何逆時針旋轉，transpose也能夠在90度內旋轉,也能夠水平活垂直旋轉

out = im.resize((128, 128))
out = im.rotate(45)

out = im.transpose(Image.FLIP_LEFT_RIGHT) out = im.transpose(Image.FLIP_TOP_BOTTOM) out = im.transpose(Image.ROTATE_90) out = im.transpose(Image.ROTATE_180) out = im.transpose(Image.ROTATE_270)

　　不通像素之間圖片

from PIL import Image
im = Image.open("hopper.ppm").convert("L")

　　加強圖像

from PIL import ImageFilter
out = im.filter(ImageFilter.DETAIL)

　　改變對比度

out = im.point(lambda i: i * 1.2)

　　具體操做圖片

# split the image into individual bands
source = im.split()

R, G, B = 0, 1, 2

# select regions where red is less than 100
mask = source[R].point(lambda i: i < 100 and 255)

# process the green band
out = source[G].point(lambda i: i * 0.7)

# paste the processed band back, but only where red was < 100
source[G].paste(out, None, mask)

# build a new multiband image
im = Image.merge(im.mode, source)

　　你能夠用這種方式調整對比度、亮度、顏色平衡和銳度

from PIL import ImageEnhance

enh = ImageEnhance.Contrast(im)
enh.enhance(1.3).show("30% more contrast")

　　打開動態圖,並跳幀播放一次結束

from PIL import Image

im = Image.open("animation.gif")
im.seek(1) # skip to the second frame

try:
    while 1:
        im.seek(im.tell()+1)
        # do something to im
except EOFError:
    pass # end of sequence

　　循環播放

from PIL import ImageSequence
for frame in ImageSequence.Iterator(im):
    # ...do something to frame...

　　在打印機上打印

from PIL import Image
from PIL import PSDraw

im = Image.open("hopper.ppm")
title = "hopper"
box = (1*72, 2*72, 7*72, 10*72) # in points

ps = PSDraw.PSDraw() # default is sys.stdout
ps.begin_document(title)

# draw the image (75 dpi)
ps.image(box, im, 75)
ps.rectangle(box)

# draw title
ps.setfont("HelveticaNarrow-Bold", 36)
ps.text((3*72, 4*72), title)

ps.end_document()

　　也能夠這樣打開

from PIL import Image
with open("hopper.ppm", "rb") as fp:
    im = Image.open(fp)

在一個比較大的tar文件中打開圖片，能夠經過seek和read增快找到速度

from PIL import Image, TarIO

fp = TarIO.TarIO("Tests/images/hopper.tar", "hopper.jpg")
im = Image.open(fp)

This is only available for JPEG and MPO files.

from PIL import Image
from __future__ import print_function
im = Image.open(file)
print("original =", im.mode, im.size)

im.draft("L", (100, 100))
print("draft =", im.mode, im.size)


#This prints something like:
original = RGB (512, 512)
draft = L (128, 128)