How to Split Image Into Multiple Pieces in Python

Question

I m trying to split a photo into multiple pieces using PIL   def crop Path input height width i k x y page       im   Image open input      imgwidth   im size 0      imgheight   im size 1      for i in range 0 imgheight-height 2 height-2           print i         for j in range 0 imgwidth-width 2 width-2               print j             box    j  i  j width  i height              a   im crop box              a save os path join Path  PNG    s    page  IMG- s png    k               k   1   but it doesn t seem to be working  It splits the photo but not in an exact way  you can try it

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This is my script tools  it is very sample to splite css-sprit image into icons   Usage  split icons py img dst path width height Example  python split icons py icon-48 png gtliu 48 48   Save code into split icons py       usr bin env python   - - coding utf-8 - - import os import sys import glob from PIL import Image  def Usage        print   s img dst path width height     sys argv 0       sys exit 1   if len sys argv     5      Usage    src img   sys argv 1  dst path   sys argv 2   if not os path exists sys argv 2   or not os path isfile sys argv 1        print  Not exists   sys argv 2   sys argv 1      sys exit 1   w  h   int sys argv 3    int sys argv 4   im   Image open src img  im w  im h   im size print  Image width  d height  d  will split into   d  d       im w  im h  w  h  w num  h num   int im w w   int im h h   for wi in range 0  w num       for hi in range 0  h num           box    wi w  hi h   wi 1  w   hi 1  h          piece   im crop box          tmp img   Image new  L    w  h   255          tmp img paste piece          img path   os path join dst path    d  d png     wi  hi           tmp img save img path

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from PIL import Image  def crop path  input  height  width  k  page  area       im   Image open input      imgwidth  imgheight   im size     for i in range 0 imgheight height           for j in range 0 imgwidth width               box    j  i  j width  i height              a   im crop box              try                  o   a crop area                  o save os path join path  PNG    s    page  IMG- s png    k               except                  pass             k   1

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Here is a late answer that works with Python 3  from PIL import Image import os  def imgcrop input  xPieces  yPieces       filename  file extension   os path splitext input      im   Image open input      imgwidth  imgheight   im size     height   imgheight    yPieces     width   imgwidth    xPieces     for i in range 0  yPieces           for j in range 0  xPieces               box    j   width  i   height   j   1    width   i   1    height              a   im crop box              try                  a save  images     filename    -    str i     -    str j    file extension              except                  pass   Usage   imgcrop  images testing jpg   5  5    Then the images will be cropped into pieces according to the specified X and Y pieces  in my case 5 x 5   25 pieces

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Not sure if this is the most efficient answer  but it works for me   import os import glob from PIL import Image Image MAX IMAGE PIXELS   None   to avoid image size warning  imgdir     path to image folder    if you want file of a specific extension   png   filelist    f for f in glob glob imgdir         png   recursive True   savedir     path to image folder output   start pos   start x  start y    0  0  cropped image size   w  h    500  500   for file in filelist      img   Image open file      width  height   img size      frame num   1     for col i in range 0  width  w           for row i in range 0  height  h               crop   img crop  col i  row i  col i   w  row i   h               name   os path basename file              name   os path splitext name  0              save to  os path join savedir  name     03  png               crop save save to format frame num               frame num    1   This is mostly based on DataScienceGuy answer here

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crop would be a more reusable function if you separate the cropping code from the image saving code  It would also make the call signature simpler  im crop returns a Image  ImageCrop instance  Such instances do not have a save method  Instead  you must paste the Image  ImageCrop instance onto a new Image Image Your ranges do not have the right step sizes   Why height-2 and not height  for example  Why stop at imgheight- height 2       So  you might try instead something like this   import Image import os  def crop infile height width       im   Image open infile      imgwidth  imgheight   im size     for i in range imgheight  height           for j in range imgwidth  width               box    j width  i height   j 1  width   i 1  height              yield im crop box   if   name       main         infile         height         width         start num         for k piece in enumerate crop infile height width  start num           img Image new  RGB    height width   255          img paste piece          path os path join   tmp   IMG- s png    k          img save path

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import os import sys from PIL import Image  savedir   r quot E  new mission  data test quot  filename   r quot E  new mission  data test testing1 png quot  img   Image open filename  width  height   img size start pos   start x  start y    0  0  cropped image size   w  h    1024 1024   frame num   1 for col i in range 0  width  w       for row i in range 0  height  h           crop   img crop  col i  row i  col i   w  row i   h           save to  os path join savedir   quot testing   02  png quot           crop save save to format frame num           frame num    1

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Edit  I believe this answer missed the intent to cut an image into rectangles in columns and rows  This answer cuts only into rows  It looks like other answers cut in columns and rows    Simpler than all these is to use a wheel someone else invented    It may be more involved to set up  but then it s a snap to use   These instructions are for Windows 7  they may need to be adapted for other OSs   Get and install pip from here   Download the install archive  and extract it to your root Python installation directory  Open a console and type  if I recall correctly    python get-pip py install   Then get and install the image slicer module via pip  by entering the following command at the console   python -m pip install image slicer   Copy the image you want to slice into the Python root directory  open a python shell  not the  command line    and enter these commands   import image slicer image slicer slice  huge test image png   14    The beauty of this module is that it    Is installed in python  Can invoke an image split with two lines of code  Accepts any even number as an image slice parameter  e g  14 in this example   Takes that parameter and automagically splits the given image into so many slices  and auto-saves the resultant numbered tiles in the same directory  and finally  Has a function to stitch the image tiles back together  which I haven t yet tested   files apparently must be named after the convention which you will see in the split files after testing the image slicer slice function

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I tried the solutions above  but sometimes you just gotta do it yourself  Might be off by a pixel in some cases but works fine in general   import matplotlib pyplot as plt import numpy as np def image to tiles im  number of tiles   4  plot False               Function that splits SINGLE channel images into tiles      param im  image  single channel image  NxN matrix       param number of tiles  squared number      param plot       return tiles              n slices   np sqrt number of tiles      assert int n slices   0 5     2    number of tiles   Number of tiles is not a perfect square       n slices   n slices astype np int       w  h    cropped npy shape      r   np linspace 0  w  n slices 1      r tuples     np int r i    np int r i 1    for i in range 0  len r -1       q   np linspace 0  h  n slices 1      q tuples     np int q i    np int q i 1    for i in range 0  len q -1        tiles          for row in range n slices           for column in range n slices                x1  y1  x2  y2     r tuples row    q tuples column               tiles append im x1 y1  x2 y2        if plot          fig  axes   plt subplots n slices  n slices  figsize  10 10           c   0         for row in range n slices               for column in range n slices                   axes row column  imshow tiles c                   axes row column  axis  off                   c  1      return tiles   Hope it helps

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I find it easier to skimage util view as windows or  skimage util view as blocks which also allows you to configure the step  http   scikit-image org docs dev api skimage util html highlight view as windows skimage util view as windows

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Splitting image to tiles of MxN pixels  assuming im is numpy ndarray    tiles    im x x M y y N  for x in range 0 im shape 0  M  for y in range 0 im shape 1  N     In the case you want to split the image to four pieces   M   im shape 0   2 N   im shape 1   2   tiles 0  holds the upper left tile

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As an alternative to other solutions  we will construct the tiles by generating a grid of coordinates using itertools product  We will ignore partial tiles on the edges  only iterating through the Cartesian product between the two intervals  i e  range 0  h-h d  d  X range 0  w-w d  d   Given fp  the file name to the image  d  the tile size  opt path  the path to the directory containing the images  and opt out  is the directory where tiles will be outputted  def tile filename  dir in  dir out  d       name  ext   os path splitext filename      img   Image open os path join dir in  fp       w  h   img size          grid   list product range 0  h-h d  d   range 0  w-w d  d        for i  j in grid          box    j  i  j d  i d          out   os path join dir out  f  name   i   j  ext            img crop box  save out

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import cv2  def crop image image path  output path       im    cv2 imread os listdir   2       imgheight im shape 0      imgwidth im shape 1       y1   0     M   2000     N   2000     for y in range 0 imgheight M           for x in range 0  imgwidth  N               y1   y   M             x1   x   N             tiles   im y y M x x N              if tiles shape 0   lt  100 or  tiles shape 1  lt 100                  continue              cv2 rectangle im   x  y    x1  y1    0  255  0               cv2 imwrite output path    str x          str y      png  format image path  tiles  crop image os listdir   2      cutted

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Here is a concise  pure-python solution that works in both python 3 and 2   from PIL import Image  infile    20190206-135938 1273 Easy8thRunnersHopefully jpg  chopsize   300  img   Image open infile  width  height   img size    Save Chops of original image for x0 in range 0  width  chopsize      for y0 in range 0  height  chopsize         box    x0  y0               x0 chopsize if x0 chopsize  lt   width else  width - 1               y0 chopsize if y0 chopsize  lt  height else height - 1        print   s  s     infile  box         img crop box  save  zchop  s x 03d y 03d jpg     infile replace   jpg       x0  y0     Notes    The crops that go over the right and bottom of the original image are adjusted to the original image limit and contain only the original pixels    It s easy to choose a different chopsize for w and h by using two chopsize vars and replacing chopsize as appropriate in the code above

[python] How to Split Image Into Multiple Pieces in Python

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