How to use PIL to resize and apply rotation EXIF information to the file?

I am trying to use Python to resize picture. With my camera, files are all written is landscape way.

The exif information handle a tag to ask the image viewer to rotate in a way or another. Since most of the browser doesn't understand this information, I want to rotate the image using this EXIF information and keeping every other EXIF information.

Do you know how I can do that using Python ?

Reading the EXIF.py source code, I found something like that :

0x0112: ('Orientation',
        开发者_StackOverflow {1: 'Horizontal (normal)',
          2: 'Mirrored horizontal',
          3: 'Rotated 180',
          4: 'Mirrored vertical',
          5: 'Mirrored horizontal then rotated 90 CCW',
          6: 'Rotated 90 CW',
          7: 'Mirrored horizontal then rotated 90 CW',
          8: 'Rotated 90 CCW'})

How can I use this information and PIL to apply it ?

I finally used pyexiv2, but it is a bit tricky to install on other platforms than GNU.

#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright (C) 2008-2009 Rémy HUBSCHER <natim@users.sf.net> - http://www.trunat.fr/portfolio/python.html

# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.

# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.

# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.

# Using :
#   - Python Imaging Library PIL    http://www.pythonware.com/products/pil/index.htm
#   - pyexiv2                       http://tilloy.net/dev/pyexiv2/

###
# What is doing this script ?
#
#  1. Take a directory of picture from a Reflex Camera (Nikon D90 for example)
#  2. Use the EXIF Orientation information to turn the image
#  3. Remove the thumbnail from the EXIF Information
#  4. Create 2 image one maxi map in 600x600, one mini map in 200x200
#  5. Add a comment with the name of the Author and his Website
#  6. Copy the EXIF information to the maxi and mini image
#  7. Name the image files with a meanful name (Date of picture)

import os, sys
try:
    import Image
except:
    print "To use this program, you need to install Python Imaging Library - http://www.pythonware.com/products/pil/"
    sys.exit(1)

try:
    import pyexiv2
except:
    print "To use this program, you need to install pyexiv2 - http://tilloy.net/dev/pyexiv2/"
    sys.exit(1)

############# Configuration ##############
size_mini = 200, 200
size_maxi = 1024, 1024

# Information about the Photograph should be in ASCII
COPYRIGHT="Remy Hubscher - http://www.trunat.fr/"
ARTIST="Remy Hubscher"
##########################################

def listJPEG(directory):
    "Retourn a list of the JPEG files in the directory"
    fileList = [os.path.normcase(f) for f in os.listdir(directory)]
    fileList = [f for f in fileList if os.path.splitext(f)[1]  in ('.jpg', '.JPG')]
    fileList.sort()
    return fileList

def _mkdir(newdir):
    """
    works the way a good mkdir should :)
      - already exists, silently complete
      - regular file in the way, raise an exception
      - parent directory(ies) does not exist, make them as well
    """
    if os.path.isdir(newdir):
        pass
    elif os.path.isfile(newdir):
        raise OSError("a file with the same name as the desired " \
                      "dir, '%s', already exists." % newdir)
    else:
        head, tail = os.path.split(newdir)
        if head and not os.path.isdir(head):
            _mkdir(head)
        if tail:
            os.mkdir(newdir)

if len(sys.argv) < 3:
    print "USAGE : python %s indir outdir [comment]" % sys.argv[0]
    exit

indir  = sys.argv[1]
outdir = sys.argv[2]

if len(sys.argv) == 4:
    comment = sys.argv[1]
else:
    comment = COPYRIGHT

agrandie = os.path.join(outdir, 'agrandie')
miniature = os.path.join(outdir, 'miniature')

print agrandie, miniature

_mkdir(agrandie)
_mkdir(miniature)

for infile in listJPEG(indir):
    mini  = os.path.join(miniature, infile)
    grand = os.path.join(agrandie, infile)
    file_path = os.path.join(indir, infile)

    image = pyexiv2.Image(file_path)
    image.readMetadata()

    # We clean the file and add some information
    image.deleteThumbnail()

    image['Exif.Image.Artist'] = ARTIST
    image['Exif.Image.Copyright'] = COPYRIGHT

    image.setComment(comment)

    # I prefer not to modify the input file
    # image.writeMetadata()

    # We look for a meanful name
    if 'Exif.Image.DateTime' in image.exifKeys():
        filename = image['Exif.Image.DateTime'].strftime('%Y-%m-%d_%H-%M-%S.jpg')
        mini  = os.path.join(miniature, filename)
        grand = os.path.join(agrandie, filename)
    else:
        # If no exif information, leave the old name
        mini  = os.path.join(miniature, infile)
        grand = os.path.join(agrandie, infile)

    # We create the thumbnail
    #try:
    im = Image.open(file_path)
    im.thumbnail(size_maxi, Image.ANTIALIAS)

    # We rotate regarding to the EXIF orientation information
    if 'Exif.Image.Orientation' in image.exifKeys():
        orientation = image['Exif.Image.Orientation']
        if orientation == 1:
            # Nothing
            mirror = im.copy()
        elif orientation == 2:
            # Vertical Mirror
            mirror = im.transpose(Image.FLIP_LEFT_RIGHT)
        elif orientation == 3:
            # Rotation 180°
            mirror = im.transpose(Image.ROTATE_180)
        elif orientation == 4:
            # Horizontal Mirror
            mirror = im.transpose(Image.FLIP_TOP_BOTTOM)
        elif orientation == 5:
            # Horizontal Mirror + Rotation 90° CCW
            mirror = im.transpose(Image.FLIP_TOP_BOTTOM).transpose(Image.ROTATE_90)
        elif orientation == 6:
            # Rotation 270°
            mirror = im.transpose(Image.ROTATE_270)
        elif orientation == 7:
            # Horizontal Mirror + Rotation 270°
            mirror = im.transpose(Image.FLIP_TOP_BOTTOM).transpose(Image.ROTATE_270)
        elif orientation == 8:
            # Rotation 90°
            mirror = im.transpose(Image.ROTATE_90)

        # No more Orientation information
        image['Exif.Image.Orientation'] = 1
    else:
        # No EXIF information, the user has to do it
        mirror = im.copy()

    mirror.save(grand, "JPEG", quality=85)
    img_grand = pyexiv2.Image(grand)
    img_grand.readMetadata()
    image.copyMetadataTo(img_grand)
    img_grand.writeMetadata()
    print grand

    mirror.thumbnail(size_mini, Image.ANTIALIAS)
    mirror.save(mini, "JPEG", quality=85)
    img_mini = pyexiv2.Image(mini)
    img_mini.readMetadata()
    image.copyMetadataTo(img_mini)
    img_mini.writeMetadata()
    print mini

    print

If you see something that could be improved (except the fact that it is still for Python 2.5) then please let me know.

Although PIL can read EXIF metadata, it doesn't have the ability to change it and write it back to an image file.

A better choice is the pyexiv2 library. With this library it's quite simple flip the photo's orientation. Here's an example:

import sys
import pyexiv2

image = pyexiv2.Image(sys.argv[1])
image.readMetadata()

image['Exif.Image.Orientation'] = 6
image.writeMetadata()

This sets the orientation to 6, corresponding to "Rotated 90 CW".

First you have to make sure that your camera actually has a rotation sensor. Most camera models without sensor simply set the Orientation Tag to 1 (Horizontal) for ALL pictures.

Then I recommend to use pyexiv2 and pyjpegtran in your case. PIL doesn't support lossless rotation, which is the domain of pyjpegtran. pyexiv2 is a library that allows you to copy metadata from one image to another (i think the method name is copyMetadata).

Are you sure that you don't want to resize your photos before displaying them in the browser? A 8 Megapixel JPEG is much too big for the browser window and will cause endless loading times.