[Python] Image simple processing (PIL or Pillow)

A few days ago to get the Django image upload, upload and need to do some simple processing, Python PIL module is specifically used to do this thing.

So divert do a few common picture operations, recorded here, in order to spare.

Here is a font file, you can choose one in their own system, I put this package in the network disk download

A pattern

Original picture

Action one: thumbnails (usually not in this way, because the picture quality damage is too large)

Action two: Rotate a part of the picture

Action Three: Add a picture watermark to the picture, 2 layers merged

Operation four: To add a text watermark to the picture, this use more, I got a white light down here, can be made completely transparent

Operation V-ratio compression (more suitable for thumbnail images)

Operation six according to the proportion of the cut, and so on compression, sometimes need a proportional picture can do this

Two codes

#-*-Encoding=utf-8-*-"Author:orangleliupil handle pictures, verify, process size, format filter compression, convert picture library best with pillow and a test picture test.jpg, a log picture, A font file ' #图片的基本参数获取try: from PIL import image, Imagedraw, Imagefont, imageenhanceexcept importerror:import image, I Magedraw, Imagefont, Imageenhancedef compress_image (IMG, w=128, h=128): "Thumbnail" img.thumbnail ((w,h)) IM . Save (' test1.png ', ' png ') print U ' successfully saved as PNG format, compressed to 128*128 format Picture ' Def cut_image (img): ' ', rotate, paste ' #eft, upp     Er, right, lower #x y z W x, S is the starting point, z,w is the offset value width, height = img.size box = (width-200, height-100, width, height) Region = img.crop (box) #旋转角度 region = Region.transpose (image.rotate_180) img.paste (Region, Box) Img.save (' Test2.jpg ', ' JPEG ') print U ' re-puzzle success ' Def logo_watermark (IMG, Logo_path): ' Add a picture watermark, the principle is to merge layers, with PNG better ' ba Seim = img Logoim = image.open (logo_path) bw, BH = baseim.size LW, LH = Logoim.size baseim.paste (Logoim, (bw-l W, BH-LH)) Baseim.save (' Test3.jpg', ' JPEG ') print u ' logo watermark combination successful ' Def text_watermark (img, text, out_file= "Test4.jpg", Angle=23, opacity=0.50): ' Add A text watermark, made transparent watermark appearance, should be the PNG layer merge http://www.pythoncentral.io/watermark-images-python-2x/here will produce the famous Importerror ("The _ IMAGINGFT C module is not installed ") error Pillow install to fix pip install Pillow ' watermark = image.new (' RGBA ', img.s                                       Ize, (255,255,255)) FONT = "Msyh.ttf" size = 2 N_font = Imagefont.truetype (font, size) #得到字体 n_width, n_height = n_font.getsize (text) text_box = min (watermark.size[0], watermark.size[1]) W Hile (N_width+n_height < Text_box): size + = 2 N_font = Imagefont.truetype (font, size=size) N_widt H, n_height = n_font.getsize (text) #文字逐渐放大, but smaller than the width-height minimum of the picture Text_width = (watermark.size [0]-N_width)/2 Text_height = (watermark.size[1]-n_height)/2 #watermark = Watermark.resize ((text_width,text_h Eight), Image.antialias) dRaw = Imagedraw.draw (watermark, ' RGBA ') #在水印层加画笔 Draw.text (Text_width,text_heigh T), text, Font=n_font, fill= "#21ACDA") watermark = watermark.rotate (angle, image.bicubic) Alpha = water Mark.split () [3] alpha = imageenhance.brightness (alpha). Enhance (opacity) Watermark.putalpha (Alpha) Image.composite     (Watermark, IMG, watermark). Save (Out_file, ' JPEG ') print U "text watermark succeeded" #等比例压缩图片def resizeimg (IMG, dst_w=0, dst_h=0, qua=85): "Only give the width or height, or two to give, and then take the appropriate proportion if the picture is smaller than the size to compress, do not compress the" ' ori_w, ori_h = im.size WidthRatio = HeightRatio = None ratio = 1 if (Ori_w and Ori_w > Dst_w) or (Ori_h and Ori_h > Dst_h): If Dst_w and Ori_w > DS T_w:widthratio = float (dst_w)/Ori_w #正确获取小数的方式 if Dst_h and Ori_  H > dst_h:heightratio = float (dst_h)/Ori_h if WidthRatio and Heightratio:if widthRatio      < heightratio:          Ratio = WidthRatio Else:ratio = HeightRatio if WidthRatio and not heightratio: Ratio = WidthRatio if heightratio and not widthratio:ratio = HeightRatio Newwidth = Int (Ori_w * ratio) newheight = Int (Ori_h * ratio) Else:newwidth = Ori_w Newheight = Ori_h IM.R Esize ((newwidth,newheight), Image.antialias). Save ("Test5.jpg", "JPEG", Quality=qua) print U ' etc than compression complete ' ' Image.anti Alias also has the following values: Nearest:use NEAREST neighbour Bilinear:linear interpolation in a 2x2 environment bicubic:cubic Spli NE interpolation in a 4x4 environment antialias:best down-sizing filter "#裁剪压缩图片def clipresizeimg (IM, Dst_w, dst_h , qua=95): "First cut the picture according to a scale, and then compress to a specified size an image 16:5, compression to 2:1 and a width of 200, you must first cut the picture to 10:5, and then in the compression" ori_w, Ori_h = im.size Dst_scale = float (dst_w)/dst_h #目标高宽比 Ori_scale = float (ori_w)/Ori_h #原高宽比 if Ori_scale < = Dst_scale: #过高       width = ori_w height = Int (width/dst_scale) x = 0 y = (ori_h-height)/2 else: #过宽 Height = ori_h width = Int (height*dst_scale) x = (ori_w-width)/2 y = 0 #裁剪 box = (x , Y,width+x,height+y) #这里的参数可以这么认为: Starting with the (x, y) coordinates of a graph, intercept the (width+x,height+y) coordinates #所包围的图像, crop method is quite different from the Imagecopy method in PHP Newi m = im.crop (box) im = None #压缩 ratio = float (dst_w)/width newwidth = Int (width * ratio) newheight = Int (h Eight * ratio) newim.resize ((newwidth,newheight), Image.antialias). Save ("Test6.jpg", "JPEG", quality=95) print "Old s Ize%s%s "% (Ori_w, ori_h) print" New size%s%s "% (Newwidth, newheight) print U" clipped and so on than compression complete "if __name__ = =" __main__ ":" is mainly implemented function, the code is not how to tidy up "' im = Image.open (' test.jpg ') #image object compress_image (IM) im = Image.open (' t Est.jpg ') #image object cut_image (IM) im = Image.open (' test.jpg ') #image object Logo_watermark (IM, ' logo.png ') im =  Image.open (' test.jpg ')#image object Text_watermark (IM, ' orangleliu ') im = Image.open (' test.jpg ') #image object Resizeimg (IM, dst_w=100, qua=85 ) im = Image.open (' test.jpg ') #image object clipresizeimg (IM, 100, 200)

Three references

Http://www.cnblogs.com/way_testlife/archive/2011/04/17/2019013.html
Http://effbot.org/imagingbook/introduction.htm
Http://tech.seety.org/python/python_imaging.html
http://liluo.org/blog/2011/08/python-add-watermark-with-pil/Plus watermark
Several common summary of http://my.oschina.net/neo600/blog/136393
http://oldj.net/article/text-to-image/

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[Python] Image simple processing (PIL or Pillow)