Rotating an Image with Orientation Specified in Exif Using Python Without Pil Including the Thumbnail

PIL thumbnail is rotating my image?

Please note that there are better answers below.

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When a picture is taller than it is wide, it means the camera was rotated. Some cameras can detect this and write that info in the picture's EXIF metadata. Some viewers take note of this metadata and display the image appropriately.

PIL can read the picture's metadata, but it does not write/copy metadata when you save an Image. Consequently, your smart image viewer will not rotate the image as it did before.

Following up on @Ignacio Vazquez-Abrams's comment, you can read the metadata using PIL this way, and rotate if necessary:

import ExifTags
import Image

img = Image.open(filename)
print(img._getexif().items())
exif=dict((ExifTags.TAGS[k], v) for k, v in img._getexif().items() if k in ExifTags.TAGS)
if not exif['Orientation']:
    img=img.rotate(90, expand=True)
img.thumbnail((1000,1000), Image.ANTIALIAS)
img.save(output_fname, "JPEG")

But be aware that the above code may not work for all cameras.

The easiest solution maybe to use some other program to make thumbnails.

phatch is a batch photo editor written in Python which can handle/preserve EXIF metadata. You could either use this program to make your thumbnails, or look at its source code to see how to do this in Python. I believe it uses the pyexiv2 to handle the EXIF metadata. pyexiv2 may be able to handle EXIF better than the PIL's ExifTags module.

imagemagick is another possibility for making batch thumbnails.

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

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.

How to load an image file into a numpy array with Exif orientation support for multiple images at once in Python?

I found this answer: https://stackoverflow.com/a/26928142/12076702.

The only changes you would need to make is to change filepath in image=Image.open(filepath) to the original image file path and this filepath, image.save(filepath) to the file path you want to save the image to.

You can use glob.glob() to get all the image file paths of a format of your choice in the specified directory by doing something like:

import glob
import os

filepaths = glob.glob(os.path.join('path', 'to', 'my', 'directory', '*.jpg'))

Then just do a for loop, opening the images, modifying them and finally saving them in the directory of you choice. Hope this helps.

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