def generate_image(inpath, outpath, width=None, height=None, format=JPEG,
fill=False, upscale=True, anchor=None, quality=80,
progressive=True, placeholder_reason=None):
mkdir_p(outpath.rpartition('/')[0])
if not os.path.isfile(inpath):
if placeholder_reason:
img = get_placeholder(width, height, placeholder_reason)
else:
raise TypeError(u'No such file {}'.format(inpath))
else:
img = Image.open(inpath)
processor_kwargs = dict(width=width, height=height, upscale=upscale)
if fill:
processor_kwargs['anchor'] = anchor
ResizeMethod = ResizeToFill if fill else ResizeToFit
processor = ResizeMethod(**processor_kwargs)
new_img = processor.process(img)
assert (not os.path.exists(outpath), 'Path to save to already exists')
options = {}
if format == JPEG:
options.update({'quality': int(quality), 'progressive': progressive})
with open(outpath, 'w') as outfile:
save_image(new_img, outfile, format=format, options=options)
def create_resizes_of_image(image):
""" Create the web and thumb, and return a list of (source, dest) images to be transferred to
the fileserver, including the original.
"""
event = image.event
year = event.startdate.split('-')[0]
dest_media_folder = os.path.join('archive', year, slugify(event.name))
# Add original to files to be transferred
files_to_transfer = [(image.original.path,
os.path.join(dest_media_folder,
'%d-original.jpg' % image.id))]
# Do the actual conversion
pil_img = PILImage.open(image.original)
thumb = ImageOps.fit(pil_img, (75, 75), PILImage.ANTIALIAS)
#thumb = ResizeToFit(75, 75).process(pil_img)
websize = ResizeToFit(1500, 800, upscale=False).process(pil_img)
for size, appendix in [(thumb, 'thumb'), (websize, 'web')]:
filename = '%s-%s.jpg' % (image.id, appendix)
local_path = os.path.join(settings.MEDIA_ROOT, 'local',
'raw-archive-images', filename)
if not os.path.exists(os.path.dirname(local_path)):
os.mkdir(os.path.dirname(local_path))
save_image(size, local_path, 'jpeg')
files_to_transfer.append(
(local_path, os.path.join(dest_media_folder, filename)))
# Set the new URL to the original image
image.original = None
image.original = dest_media_folder + '/%d-original.jpg' % image.id
return files_to_transfer
def create_resizes_of_image(image):
""" Create the web and thumb, and return a list of (source, dest) images to be transferred to
the fileserver, including the original.
"""
event = image.event
year = event.startdate.split('-')[0]
dest_media_folder = os.path.join('archive', year, slugify(event.name))
# Add original to files to be transferred
files_to_transfer = [
(image.original.path, os.path.join(dest_media_folder, '%d-original.jpg' % image.id))
]
# Do the actual conversion
pil_img = PILImage.open(image.original)
thumb = ImageOps.fit(pil_img, (75, 75), PILImage.ANTIALIAS)
#thumb = ResizeToFit(75, 75).process(pil_img)
websize = ResizeToFit(1500, 800, upscale=False).process(pil_img)
for size, appendix in [(thumb, 'thumb'), (websize, 'web')]:
filename = '%s-%s.jpg' % (image.id, appendix)
local_path = os.path.join(settings.MEDIA_ROOT, 'local', 'raw-archive-images', filename)
if not os.path.exists(os.path.dirname(local_path)):
os.mkdir(os.path.dirname(local_path))
save_image(size, local_path, 'jpeg')
files_to_transfer.append(
(local_path, os.path.join(dest_media_folder, filename))
)
# Set the new URL to the original image
image.original = None
image.original = dest_media_folder + '/%d-original.jpg' % image.id
return files_to_transfer
def generate_thumbnail(
text,
outname,
box,
bg_color=DEFAULT_CONFIG['thumb_bg_color'],
font=DEFAULT_CONFIG['thumb_font'],
font_color=DEFAULT_CONFIG['thumb_font_color'],
font_size=DEFAULT_CONFIG['thumb_font_size'],
options=None,
):
"""Create a thumbnail image."""
kwargs = {}
if font:
kwargs['font'] = ImageFont.truetype(font, font_size)
if font_color:
kwargs['fill'] = font_color
img = PILImage.new("RGB", box, bg_color)
anchor = (box[0] // 2, box[1] // 2)
d = ImageDraw.Draw(img)
logger.info(f"kwargs: {kwargs}")
d.text(anchor, text, anchor='mm', **kwargs)
outformat = 'JPEG'
logger.info('Save thumnail image: %s (%s)', outname, outformat)
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_image(source, outname, settings, options=None):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param outname: output filename
:param settings: settings dict
:param options: dict with PIL options (quality, optimize, progressive)
"""
logger = logging.getLogger(__name__)
if settings['use_orig']:
utils.copy(source, outname, symlink=settings['orig_link'])
return
img = PILImage.open(source)
original_format = img.format
if settings['copy_exif_data'] and settings['autorotate_images']:
logger.warning("The 'autorotate_images' and 'copy_exif_data' settings "
"are not compatible because Sigal can't save the "
"modified Orientation tag.")
# Preserve EXIF data
if settings['copy_exif_data'] and _has_exif_tags(img):
if options is not None:
options = deepcopy(options)
else:
options = {}
options['exif'] = img.info['exif']
# Rotate the img, and catch IOError when PIL fails to read EXIF
if settings['autorotate_images']:
try:
img = Transpose().process(img)
except (IOError, IndexError):
pass
# Resize the image
if settings['img_processor']:
try:
logger.debug('Processor: %s', settings['img_processor'])
processor_cls = getattr(pilkit.processors,
settings['img_processor'])
except AttributeError:
logger.error('Wrong processor name: %s', settings['img_processor'])
sys.exit()
processor = processor_cls(*settings['img_size'], upscale=False)
img = processor.process(img)
# signal.send() does not work here as plugins can modify the image, so we
# iterate other the receivers to call them with the image.
for receiver in signals.img_resized.receivers_for(img):
img = receiver(img, settings=settings)
outformat = img.format or original_format or 'JPEG'
logger.debug(u'Save resized image to {0} ({1})'.format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_image(inpath, outpath, width=None, height=None, format=JPEG,
fill=False, upscale=True, anchor=None, quality=80,
progressive=True, placeholder_reason=None):
mkdir_p(outpath.rpartition('/')[0])
if not os.path.isfile(inpath):
if placeholder_reason:
img = get_placeholder(width, height, placeholder_reason)
else:
raise TypeError(u'No such file {}'.format(inpath))
else:
img = Image.open(inpath)
processor_kwargs = dict(width=width, height=height, upscale=upscale)
if fill:
processor_kwargs['anchor'] = anchor
ResizeMethod = ResizeToFill if fill else ResizeToFit
processor = ResizeMethod(**processor_kwargs)
new_img = processor.process(img)
assert (not os.path.exists(outpath), 'Path to save to already exists')
options = {}
if format == JPEG:
options.update({'quality': int(quality), 'progressive': progressive})
with open(outpath, 'wb') as outfile:
save_image(new_img, outfile, format=format, options=options)
def generate_image(source, outname, settings, options=None):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param outname: output filename
:param settings: settings dict
:param options: dict with PIL options (quality, optimize, progressive)
"""
logger = logging.getLogger(__name__)
if settings['use_orig']:
utils.copy(source, outname, symlink=settings['orig_link'])
return
img = PILImage.open(source)
original_format = img.format
if settings['copy_exif_data'] and settings['autorotate_images']:
logger.warning("The 'autorotate_images' and 'copy_exif_data' settings "
"are not compatible because Sigal can't save the "
"modified Orientation tag.")
# Preserve EXIF data
if settings['copy_exif_data'] and _has_exif_tags(img):
if options is not None:
options = deepcopy(options)
else:
options = {}
options['exif'] = img.info['exif']
# Rotate the img, and catch IOError when PIL fails to read EXIF
if settings['autorotate_images']:
try:
img = Transpose().process(img)
except (IOError, IndexError):
pass
# Resize the image
if settings['img_processor']:
try:
logger.debug('Processor: %s', settings['img_processor'])
processor_cls = getattr(pilkit.processors,
settings['img_processor'])
except AttributeError:
logger.error('Wrong processor name: %s', settings['img_processor'])
sys.exit()
processor = processor_cls(*settings['img_size'], upscale=False)
img = processor.process(img)
# signal.send() does not work here as plugins can modify the image, so we
# iterate other the receivers to call them with the image.
for receiver in signals.img_resized.receivers_for(img):
img = receiver(img, settings=settings)
outformat = img.format or original_format or 'JPEG'
logger.debug(u'Save resized image to {0} ({1})'.format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def url(self):
""" Returns the final url for this version of the image.
If it doesn't exists, it generates it"""
uploads_dir = self.get_uploads_dir()
img = Image.open(os.path.join(uploads_dir, self.source))
new_image_filename = self.generate_filename(img)
# generate the full names and create directories if necesary
base_cache_dir = os.path.join('cache', self.model, str(self.id))
cache_dir = os.path.join(
uploads_dir, base_cache_dir)
cache_filename = os.path.join(
cache_dir, new_image_filename)
if not os.path.exists(cache_dir):
mkdir_p(cache_dir)
# Check if the generated image already existed
if os.path.exists(cache_filename):
return "/cache/" + self.model + "/" + str(self.id) + "/" + new_image_filename
else:
# we process the image and save it on the cache folder
processor = ProcessorPipeline(self.processors)
new_image = processor.process(img)
utils.save_image(new_image, cache_filename, self.format, self.options)
return os.path.join(base_cache_dir, new_image_filename)
def generate_image(source, outname, settings, options=None):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param outname: output filename
:param settings: settings dict
:param options: dict with PIL options (quality, optimize, progressive)
"""
logger = logging.getLogger(__name__)
img = PILImage.open(source)
original_format = img.format
if settings["copy_exif_data"] and settings["autorotate_images"]:
logger.warning(
"The 'autorotate_images' and 'copy_exif_data' settings "
"are not compatible because Sigal can't save the "
"modified Orientation tag."
)
# Preserve EXIF data
if settings["copy_exif_data"] and _has_exif_tags(img):
if options is not None:
options = deepcopy(options)
else:
options = {}
options["exif"] = img.info["exif"]
# Rotate the img, and catch IOError when PIL fails to read EXIF
if settings["autorotate_images"]:
try:
img = Transpose().process(img)
except (IOError, IndexError):
pass
# Resize the image
if settings["img_processor"]:
try:
logger.debug("Processor: %s", settings["img_processor"])
processor_cls = getattr(pilkit.processors, settings["img_processor"])
except AttributeError:
logger.error("Wrong processor name: %s", settings["img_processor"])
sys.exit()
processor = processor_cls(*settings["img_size"], upscale=False)
img = processor.process(img)
# Adjust the image after resizing
img = Adjust(**settings["adjust_options"]).process(img)
if settings["copyright"]:
add_copyright(img, settings["copyright"])
outformat = img.format or original_format or "JPEG"
logger.debug(u"Save resized image to {0} ({1})".format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def test_save_with_filename():
"""
Test that ``save_image`` accepts filename strings (not just file objects).
This is a test for GH-8.
"""
im = create_image()
outfile = NamedTemporaryFile()
save_image(im, outfile.name, 'JPEG')
outfile.close()
def test_save_with_filename():
"""
Test that ``save_image`` accepts filename strings (not just file objects).
This is a test for GH-8.
"""
im = create_image()
outfile = NamedTemporaryFile()
save_image(im, outfile.name, 'JPEG')
outfile.close()
def resize_image(path, output, side=360):
w, h, img = calculate_size(path, side)
if img.format.lower() == 'gif':
resize_gif(path, output, w, h)
return w, h
processor = processors.SmartResize(w, h)
new_img = processor.process(img)
utils.save_image(new_img, output, img.format)
return w, h
def resize_image(path, output, side=360):
w, h, img = calculate_size(path, side)
if img.format.lower() == 'gif':
resize_gif(path, output, w, h)
return w, h
processor = processors.SmartResize(w, h)
new_img = processor.process(img)
utils.save_image(new_img, output, img.format)
return w, h
def generate_image(source, outname, settings, options=None):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param outname: output filename
:param settings: settings dict
:param options: dict with PIL options (quality, optimize, progressive)
"""
logger = logging.getLogger(__name__)
img = PILImage.open(source)
original_format = img.format
# Preserve EXIF data
if settings['copy_exif_data'] and _has_exif_tags(img):
if options is not None:
options = deepcopy(options)
else:
options = {}
options['exif'] = img.info['exif']
# Rotate the img, and catch IOError when PIL fails to read EXIF
try:
img = Transpose().process(img)
except (IOError, IndexError):
pass
# Resize the image
if settings['img_processor']:
try:
logger.debug('Processor: %s', settings['img_processor'])
processor_cls = getattr(pilkit.processors,
settings['img_processor'])
except AttributeError:
logger.error('Wrong processor name: %s', settings['img_processor'])
sys.exit()
processor = processor_cls(*settings['img_size'], upscale=False)
img = processor.process(img)
# Adjust the image after resizing
img = Adjust(**settings['adjust_options']).process(img)
if settings['copyright']:
add_copyright(img, settings['copyright'])
outformat = img.format or original_format or 'JPEG'
logger.debug(u'Save resized image to {0} ({1})'.format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_image(source, outname, settings, options=None):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param outname: output filename
:param settings: settings dict
:param options: dict with PIL options (quality, optimize, progressive)
"""
logger = logging.getLogger(__name__)
img = PILImage.open(source)
original_format = img.format
# Preserve EXIF data
if settings['copy_exif_data'] and _has_exif_tags(img):
if options is not None:
options = deepcopy(options)
else:
options = {}
options['exif'] = img.info['exif']
# Rotate the img, and catch IOError when PIL fails to read EXIF
try:
img = Transpose().process(img)
except (IOError, IndexError):
pass
# Resize the image
if settings['img_processor']:
try:
logger.debug('Processor: %s', settings['img_processor'])
processor_cls = getattr(pilkit.processors,
settings['img_processor'])
except AttributeError:
logger.error('Wrong processor name: %s', settings['img_processor'])
sys.exit()
processor = processor_cls(*settings['img_size'], upscale=False)
img = processor.process(img)
# Adjust the image after resizing
img = Adjust(**settings['adjust_options']).process(img)
if settings['copyright']:
add_copyright(img, settings['copyright'])
outformat = img.format or original_format or 'JPEG'
logger.debug(u'Save resized image to {0} ({1})'.format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_thumbnail(source, outname, box, delay, fit=True, options=None):
"""Create a thumbnail image."""
logger = logging.getLogger(__name__)
img = PILImage.open(source)
original_format = img.format
if fit:
img = ImageOps.fit(img, box, PILImage.ANTIALIAS)
else:
img.thumbnail(box, PILImage.ANTIALIAS)
outformat = img.format or original_format or 'JPEG'
logger.debug(u'Save thumnail image: {0} ({1})'.format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_thumbnail(source, outname, box, fit=True, options=None):
"""Create a thumbnail image."""
logger = logging.getLogger(__name__)
img = PILImage.open(source)
original_format = img.format
if fit:
img = ImageOps.fit(img, box, PILImage.ANTIALIAS)
else:
img.thumbnail(box, PILImage.ANTIALIAS)
outformat = img.format or original_format or "JPEG"
logger.debug(u"Save thumnail image: {0} ({1})".format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_thumbnail(source, outname, box, fit=True, options=None):
"Create a thumbnail image"
logger = logging.getLogger(__name__)
img = PILImage.open(source)
original_format = img.format
if fit:
img = ImageOps.fit(img, box, PILImage.ANTIALIAS)
else:
img.thumbnail(box, PILImage.ANTIALIAS)
outformat = img.format or original_format or 'JPEG'
logger.debug(u'Save thumnail image to {0} ({1})'.format(outname, outformat))
with open(outname, 'w') as fp:
save_image(img, fp, outformat, options=options, autoconvert=True)
def generate_image(source, outname, settings, options=None):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param outname: output filename
:param settings: settings dict
:param options: dict with PIL options (quality, optimize, progressive)
"""
logger = logging.getLogger(__name__)
img = PILImage.open(source)
original_format = img.format
# Preserve EXIF data
if settings["copy_exif_data"] and _has_exif_tags(img):
options = options or {}
options["exif"] = img.info["exif"]
# Rotate the img, and catch IOError when PIL fails to read EXIF
try:
img = Transpose().process(img)
except IOError:
pass
# Resize the image
if settings["img_processor"]:
try:
logger.debug("Processor: %s", settings["img_processor"])
processor_cls = getattr(pilkit.processors, settings["img_processor"])
except AttributeError:
logger.error("Wrong processor name: %s", settings["img_processor"])
sys.exit()
processor = processor_cls(*settings["img_size"], upscale=False)
img = processor.process(img)
# Adjust the image after resizing
img = Adjust(**settings["adjust_options"]).process(img)
if settings["copyright"]:
add_copyright(img, settings["copyright"])
outformat = img.format or original_format or "JPEG"
logger.debug(u"Save resized image to {0} ({1})".format(outname, outformat))
with open(outname, "w") as fp:
save_image(img, fp, outformat, options=options, autoconvert=True)
def generate_thumbnail(source, outname, box, fit=True, options=None,
thumb_fit_centering=(0.5, 0.5)):
"""Create a thumbnail image."""
logger = logging.getLogger(__name__)
img = _read_image(source)
original_format = img.format
if fit:
img = ImageOps.fit(img, box, PILImage.ANTIALIAS,
centering=thumb_fit_centering)
else:
img.thumbnail(box, PILImage.ANTIALIAS)
outformat = img.format or original_format or 'JPEG'
logger.debug('Save thumnail image: %s (%s)', outname, outformat)
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_thumbnail(source, outname, box, fit=True, options=None,
thumb_fit_centering=(0.5, 0.5)):
"""Create a thumbnail image."""
logger = logging.getLogger(__name__)
img = _read_image(source)
original_format = img.format
if fit:
img = ImageOps.fit(img, box, PILImage.ANTIALIAS,
centering=thumb_fit_centering)
else:
img.thumbnail(box, PILImage.ANTIALIAS)
outformat = img.format or original_format or 'JPEG'
logger.debug('Save thumnail image: %s (%s)', outname, outformat)
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_image(source, outname, settings, options=None):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param outname: output filename
:param settings: settings dict
:param options: dict with PIL options (quality, optimize, progressive)
"""
print(f'{source} => {outname}')
logger = logging.getLogger(__name__)
if settings['USE_ORIG'] or source.endswith('.gif'):
utils.copy(source, outname, symlink=settings['ORIG_LINK'])
return
# print(f'read image {source}')
img = _read_image(source)
original_format = img.format
if settings['COPY_EXIF_DATA'] and settings['autorotate_images']:
logger.warning("The 'autorotate_images' and 'COPY_EXIF_DATA' settings "
"are not compatible because Sigal can't save the "
"modified Orientation tag.")
# Preserve EXIF data
if settings['COPY_EXIF_DATA'] and _has_exif_tags(img):
if options is not None:
options = deepcopy(options)
else:
options = {}
options['exif'] = img.info['exif']
# signal.send() does not work here as plugins can modify the image, so we
# iterate other the receivers to call them with the image.
# for receiver in signals.img_resized.receivers_for(img):
# img = receiver(img, settings=settings)
# first, use hard-coded output format, or PIL format, or original image
# format, or fall back to JPEG
outformat = settings.get(
'IMG_FORMAT') or img.format or original_format or 'JPEG'
logger.debug('Save resized image to %s (%s)', outname, outformat)
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_thumbnail(source, outname, box, delay, fit=True, options=None):
"""Create a thumbnail image."""
logger = logging.getLogger(__name__)
with warnings.catch_warnings(record = True) as caught_warnings:
img = PILImage.open(source)
original_format = img.format
_handle_caught_warnings(caught_warnings, source)
if fit:
img = ImageOps.fit(img, box, PILImage.ANTIALIAS)
else:
img.thumbnail(box, PILImage.ANTIALIAS)
outformat = img.format or original_format or 'JPEG'
logger.debug(u'Save thumnail image: {0} ({1})'.format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def resize_image(path, output, side=360):
img = Image.open(path)
ow, oh = img.size
if ow > oh:
h = int(float(side) / float(ow) * float(oh))
w = side
else:
h = side
w = int(float(side) / float(oh) * float(ow))
if img.format.lower() == 'gif':
resize_gif(path, output, w, h)
return
processor = processors.SmartResize(w, h)
new_img = processor.process(img)
utils.save_image(new_img, output, img.format)
def save(self, name, content, save=True, *args, **kwargs):
crop_size = getattr(self.field, 'crop_size', None)
if crop_size:
width, height = crop_size
processor = SmartCrop(width=width, height=height)
with PILImage.open(content.file) as image:
cropped_image = processor.process(image)
path, ext = os.path.splitext(name)
save_image(
cropped_image,
outfile=content.file,
format=get_format(ext),
)
super(CropMixin, self).save(name=name,
content=content,
save=save,
*args,
**kwargs)
def compress_img(self, img, quality=70):
"""
Compress PIL image file to JPEG reducing quality
:param img: PIL image file
:param quality:
:return:
"""
tmpfile = TemporaryFile()
return Image.open(
save_image(img, tmpfile, 'JPEG', options={'quality': quality}))
def generate_image(source, outname, size, format, options=None,
autoconvert=True, copyright_text='', method='ResizeToFit',
copy_exif_data=True):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param options: dict with PIL options (quality, optimize, progressive)
"""
logger = logging.getLogger(__name__)
img = PILImage.open(source)
original_format = img.format
# Preserve EXIF data
if copy_exif_data and hasattr(img, 'info') and 'exif' in img.info:
options = options or {}
options['exif'] = img.info['exif']
# Rotate the img, and catch IOError when PIL fails to read EXIF
try:
img = Transpose().process(img)
except IOError:
pass
# Resize the image
try:
logger.debug('Processor: %s', method)
processor_cls = getattr(pilkit.processors, method)
except AttributeError:
logger.error('Wrong processor name: %s', method)
sys.exit()
processor = processor_cls(*size, upscale=False)
img = processor.process(img)
if copyright_text:
add_copyright(img, copyright_text)
format = format or img.format or original_format or 'JPEG'
logger.debug(u'Save resized image to {0} ({1})'.format(outname, format))
save_image(img, outname, format, options=options, autoconvert=autoconvert)
def process(image_url, processor = None, width=None, height=None, resolution=None, quality=100):
conn = S3Connection(settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY)
bucket = conn.get_bucket(settings.AWS_STORAGE_BUCKET_NAME)
if image_url[0] =='/': image_url = image_url[1:]
r = requests.get(image_url.replace('https', 'http'))
img = Image.open(StringIO(r.content))
processor = ResizeToFit(width, height)
new_img = processor.process(img)
new_file = StringIO()
save_image(new_img, new_file, 'JPEG')
new_k = Key(bucket)
parts = urlparse(image_url)
img_name = os.path.splitext(os.path.basename(parts.path))[0]
new_k.key = 'il/{}x{}/{}.jpeg'.format(width, height, img_name)
new_k.content_type = 'image/jpeg'
new_k.set_contents_from_file(new_file, policy='public-read')
new_image_url = new_k.generate_url(0, query_auth=False, force_http=True)
processed_image,_ = ProcessedImage.objects.update_or_create(source_image = image_url, processed_image = new_image_url)
return processed_image
def save_pilimage(image, path, storage):
"""Save a pil image using django storage system.
As a PIL image does not inherit from django file class it can not be saved
using django storage system. So we have to load the image content to a
django file and the save it using django storage.
Args:
image: a PIL image to be saved in the host.
path: a string that indicates the file path where the image should be
saved.
storage: a django storage instance.
Returns:
A string with the path of the stored file.
"""
content = ContentFile(b'')
save_image(image, outfile=content, format=get_format(path))
name = storage.save(path, content)
content.close()
return name
def generate_thumbnail(source, outname, box, skip, fit=False, options=None):
"""Create a thumbnail image."""
logger = logging.getLogger(__name__)
extension = os.path.splitext(source)[1]
if extension in ('.cr2'):
raw = rawpy.imread(source)
img = PILImage.fromarray(raw.postprocess())
original_format = "JPEG"
else:
img = PILImage.open(source)
original_format = img.format
if fit:
img = ImageOps.fit(img, box, PILImage.ANTIALIAS)
else:
img.thumbnail(box, PILImage.ANTIALIAS)
outformat = img.format or original_format or 'JPEG'
logger.debug(u'Save thumnail image: {0} ({1})'.format(outname, outformat))
save_image(img, outname, outformat, options=options, autoconvert=True)
def generate_image(source, outname, settings, options=None):
"""Image processor, rotate and resize the image.
:param source: path to an image
:param outname: output filename
:param settings: settings dict
:param options: dict with PIL options (quality, optimize, progressive)
"""
logger = logging.getLogger(__name__)
if settings['use_orig'] or source.endswith('.gif'):
utils.copy(source, outname, symlink=settings['orig_link'])
return
img = _read_image(source)
original_format = img.format
if settings['copy_exif_data'] and settings['autorotate_images']:
logger.warning("The 'autorotate_images' and 'copy_exif_data' settings "
"are not compatible because Sigal can't save the "
"modified Orientation tag.")
# Preserve EXIF data
if settings['copy_exif_data'] and _has_exif_tags(img):
if options is not None:
options = deepcopy(options)
else:
options = {}
options['exif'] = img.info['exif']
# Rotate the img, and catch IOError when PIL fails to read EXIF
if settings['autorotate_images']:
try:
img = Transpose().process(img)
except (OSError, IndexError):
pass
# Resize the image
if settings['img_processor']:
try:
logger.debug('Processor: %s', settings['img_processor'])
processor_cls = getattr(pilkit.processors,
settings['img_processor'])
except AttributeError:
logger.error('Wrong processor name: %s', settings['img_processor'])
sys.exit()
width, height = settings['img_size']
if img.size[0] < img.size[1]:
# swap target size if image is in portrait mode
height, width = width, height
processor = processor_cls(width, height, upscale=False)
img = processor.process(img)
# signal.send() does not work here as plugins can modify the image, so we
# iterate other the receivers to call them with the image.
for receiver in signals.img_resized.receivers_for(img):
img = receiver(img, settings=settings)
# first, use hard-coded output format, or PIL format, or original image
# format, or fall back to JPEG
outformat = (settings.get('img_format') or img.format or original_format
or 'JPEG')
logger.debug('Save resized image to %s (%s)', outname, outformat)
save_image(img, outname, outformat, options=options, autoconvert=True)
def _convert_to_jpg(self, image_path):
base = os.path.splitext(image_path)[0]
new_image_path = base + '.jpg'
save_image(Image.open(image_path), new_image_path, 'JPEG')
return new_image_path
def generate_image(inpath, outpath, width=None, height=None, format=JPEG,
fill=False, upscale=True, anchor=None, quality=80,
bgcolor=None, progressive=True, force_cache=False,
placeholder_reason=None, placeholder_image_path=None):
"""Generate an image with the passed in settings
This is used by :func:`resize` and is run outside of the Flask context.
Args:
inpath (str):
Path to the image to generate a new image out of.
outpath (str):
Where the new image will end up.
width (Optional[:class:`int`]):
The width to use for the generated image.
height (Optional[:class:`str`]):
The height to use for the generated image.
format (str):
Format to convert into. Defaults to "JPEG".
fill (bool):
Fill the entire width and height that was specified if True,
otherwise keep the original image dimensions. Defaults to False.
upscale (bool):
Whether or not to allow the image to become bigger than the
original if the request width and/or height is bigger than its
dimensions. Defaults to True.
anchor (str):
Deprecated since Flask-Resize 0.6.
quality (int):
Quality of the output image, if the format is JPEG. Defaults to 80.
bgcolor (Optional[:class:`str`]):
If specified this color will be used as background.
progressive (bool):
Whether to use progressive encoding or not when JPEG is the
output format.
force_cache (bool):
Whether to force the function to always use the image cache. If
false, will reaise a :class:`exc.StopImageGeneration` if the
generated image would be the same as the original. Defaults to
False.
placeholder_reason (Optional[:class:`str`]):
A text to show the user if the image path could not be found.
placeholder_image_path (Optional[:class:`str`]):
The path to the image to use as the background of the placeholder.
Raises:
:class:`exc.ImageNotFoundError`:
If the source image cannot be found or is not a file.
:class:`exc.StopImageGeneration`:
If force_cache is False and if the image transformation would
result in the same image as the original.
Returns:
PIL.Image:
The generated image.
"""
if anchor:
warnings.warn(
"anchor has been deprecated in Flask-Resize 0.6 and doesn't do anything to the image. Will be removed in 1.0.",
DeprecationWarning
)
if not os.path.isfile(inpath):
if placeholder_reason:
img = create_placeholder_img(width, height, placeholder_reason,
placeholder_image_path)
else:
raise exc.ImageNotFoundError(inpath)
else:
img = Image.open(inpath)
original_width, original_height = img.size
w = width or original_width
h = height or original_height
if not force_cache and format == _parse_format(inpath) and fill is False:
if (w == original_width and h == original_height) or \
(upscale is False and \
(w >= original_width or h >= original_height)):
if not placeholder_reason:
raise exc.StopImageGeneration()
processor_kwargs = dict(width=width, height=height, upscale=upscale)
_mkdir_p(outpath.replace('\\','/').rpartition('/')[0])
if fill:
if bgcolor:
mat_color = ImageColor.getrgb(parse_rgb(bgcolor))
elif format == JPEG:
mat_color = (255, 255, 255, 255) # White
else:
mat_color = (0, 0, 0, 0) # Transparent
processor_kwargs['mat_color'] = mat_color # Transparent
processor = ResizeToFit(**processor_kwargs)
img = processor.process(img)
assert (not os.path.exists(outpath)), 'Path to save to already exists'
options = {}
if format == JPEG:
options.update({'quality': int(quality), 'progressive': progressive})
if bgcolor is not None:
img = make_opaque(img, bgcolor)
with open(outpath, 'wb') as outfile:
save_image(img, outfile, format=format, options=options)
return img
def make_derivatives(self, overwrite=False):
"""
create derivative images
"""
logger = logging.getLogger(sys._getframe().f_code.co_name)
try:
thumbnail = self.thumbnail
except AttributeError:
pass
else:
if not overwrite:
return False
master_path = os.path.join(self.path, 'master.tif')
master_image = Image.open(master_path)
master_profile = master_image.info.get('icc_profile')
# make and save "maximum" image, a jpeg same resolution as the master
maximum_image = master_image.copy()
maximum_path = os.path.join(self.path, 'maximum.jpg')
try:
save_image(maximum_image, maximum_path, 'JPEG', options={'optimize':True, 'progressive':False, 'quality':95, 'icc_profile':master_profile})
except IOError:
save_image(preview_image, preview_path, 'JPEG', options={'optimize':True, 'progressive':False, 'icc_profile':master_profile})
self.maximum = True
maximum_hash = hash_of_file(maximum_path)
self.__append_event__("Wrote derivative 'maximum' jpeg file on {0}".format(maximum_path))
self.manifest.set('maximum.jpg', maximum_hash)
del maximum_image # save RAM
# make and save preview image
# Note: the resampling algorithm that gives the highest quality result (bicubic)
# is expensive in terms of compute time, and that expense is proportional to the
# size of the original image and the relative size of the target image.
# Consequently, if the starting image is significantly larger than the desired
# down-sampled image, we'll make a first pass with the much less expensive
# "nearest neighbor" resampling algorithm to get an image that is only twice the
# size of the target, then use "bicubic" on it to get the desired outcome. The
# wisdom of the Internet seems to point to this as a time-saving step that
# sacrifices little or nothing in quality. Caveat lector. Of course, if we
# really wanted to do this fast, we'd write it in C.
preview_image = master_image.copy()
del master_image # save RAM
size = preview_image.size
logger.debug("master size: {0}, {1}".format(size[0], size[1]))
if size[0] > 3* SIZEPREVIEW[0] or size[1] > 3* SIZEPREVIEW[1]:
preview_image.thumbnail(tuple(s*2 for s in SIZEPREVIEW), Image.NEAREST)
logger.debug("did nearest pre-shrink for preview, resulting size: {0}, {1}".format(preview_image.size[0], preview_image.size[1]))
preview_image.thumbnail(SIZEPREVIEW)
logger.debug("resulting preview size: {0}, {1}".format(preview_image.size[0], preview_image.size[1]))
preview_path = os.path.join(self.path, 'preview.jpg')
try:
save_image(preview_image, preview_path, 'JPEG', options={'optimize':True, 'progressive':True, 'quality':80, 'icc_profile':master_profile})
except IOError:
save_image(preview_image, preview_path, 'JPEG', options={'optimize':True, 'progressive':True, 'icc_profile':master_profile})
logger.warning("preview image could not be written at quality 80; using defaults")
self.preview = True
preview_hash = hash_of_file(preview_path)
self.__append_event__("wrote derivative 'preview' jpeg file on {0}".format(preview_path))
self.manifest.set('preview.jpg', preview_hash)
# make and save thumbnail image
# Note: use the same approach as above, but start with the preview image, which
# is surely much smaller than the master.
thumbnail_image = preview_image.copy()
del preview_image # save the RAMs!
thumbnail_image.thumbnail(SIZETHUMB)
thumbnail_path = os.path.join(self.path, 'thumb.jpg')
try:
save_image(thumbnail_image, thumbnail_path, 'JPEG', options={'optimize':True, 'progressive':True, 'quality':80, 'icc_profile':master_profile})
except IOError:
save_image(thumbnail_image, thumbnail_path, 'JPEG', options={'optimize':True, 'progressive':True, 'icc_profile':master_profile})
logger.warning("preview image could not be written at quality 80; using defaults")
self.thumbnail = True
thumbnail_hash = hash_of_file(thumbnail_path)
self.__append_event__("wrote derivative 'thumbnail' jpeg file on {0}".format(thumbnail_path))
self.manifest.set('thumb.jpg', thumbnail_hash)
del thumbnail_image # probably not necessary to save the RAM here cuz gc will get it but anyway...
return True
def make_derivatives(self, overwrite=False):
"""
create derivative images
"""
logger = logging.getLogger(sys._getframe().f_code.co_name)
try:
thumbnail = self.thumbnail
except AttributeError:
pass
else:
if not overwrite:
return False
master_path = os.path.join(self.path, 'master.tif')
master_image = Image.open(master_path)
master_profile = master_image.info.get('icc_profile')
# make and save "maximum" image, a jpeg same resolution as the master
maximum_image = master_image.copy()
maximum_path = os.path.join(self.path, 'maximum.jpg')
try:
save_image(maximum_image,
maximum_path,
'JPEG',
options={
'optimize': True,
'progressive': False,
'quality': 95,
'icc_profile': master_profile
})
except IOError:
save_image(preview_image,
preview_path,
'JPEG',
options={
'optimize': True,
'progressive': False,
'icc_profile': master_profile
})
self.maximum = True
maximum_hash = hash_of_file(maximum_path)
self.__append_event__(
"Wrote derivative 'maximum' jpeg file on {0}".format(maximum_path))
self.manifest.set('maximum.jpg', maximum_hash)
del maximum_image # save RAM
# make and save preview image
# Note: the resampling algorithm that gives the highest quality result (bicubic)
# is expensive in terms of compute time, and that expense is proportional to the
# size of the original image and the relative size of the target image.
# Consequently, if the starting image is significantly larger than the desired
# down-sampled image, we'll make a first pass with the much less expensive
# "nearest neighbor" resampling algorithm to get an image that is only twice the
# size of the target, then use "bicubic" on it to get the desired outcome. The
# wisdom of the Internet seems to point to this as a time-saving step that
# sacrifices little or nothing in quality. Caveat lector. Of course, if we
# really wanted to do this fast, we'd write it in C.
preview_image = master_image.copy()
del master_image # save RAM
size = preview_image.size
logger.debug("master size: {0}, {1}".format(size[0], size[1]))
if size[0] > 3 * SIZEPREVIEW[0] or size[1] > 3 * SIZEPREVIEW[1]:
preview_image.thumbnail(tuple(s * 2 for s in SIZEPREVIEW),
Image.NEAREST)
logger.debug(
"did nearest pre-shrink for preview, resulting size: {0}, {1}".
format(preview_image.size[0], preview_image.size[1]))
preview_image.thumbnail(SIZEPREVIEW)
logger.debug("resulting preview size: {0}, {1}".format(
preview_image.size[0], preview_image.size[1]))
preview_path = os.path.join(self.path, 'preview.jpg')
try:
save_image(preview_image,
preview_path,
'JPEG',
options={
'optimize': True,
'progressive': True,
'quality': 80,
'icc_profile': master_profile
})
except IOError:
save_image(preview_image,
preview_path,
'JPEG',
options={
'optimize': True,
'progressive': True,
'icc_profile': master_profile
})
logger.warning(
"preview image could not be written at quality 80; using defaults"
)
self.preview = True
preview_hash = hash_of_file(preview_path)
self.__append_event__(
"wrote derivative 'preview' jpeg file on {0}".format(preview_path))
self.manifest.set('preview.jpg', preview_hash)
# make and save thumbnail image
# Note: use the same approach as above, but start with the preview image, which
# is surely much smaller than the master.
thumbnail_image = preview_image.copy()
del preview_image # save the RAMs!
thumbnail_image.thumbnail(SIZETHUMB)
thumbnail_path = os.path.join(self.path, 'thumb.jpg')
try:
save_image(thumbnail_image,
thumbnail_path,
'JPEG',
options={
'optimize': True,
'progressive': True,
'quality': 80,
'icc_profile': master_profile
})
except IOError:
save_image(thumbnail_image,
thumbnail_path,
'JPEG',
options={
'optimize': True,
'progressive': True,
'icc_profile': master_profile
})
logger.warning(
"preview image could not be written at quality 80; using defaults"
)
self.thumbnail = True
thumbnail_hash = hash_of_file(thumbnail_path)
self.__append_event__(
"wrote derivative 'thumbnail' jpeg file on {0}".format(
thumbnail_path))
self.manifest.set('thumb.jpg', thumbnail_hash)
del thumbnail_image # probably not necessary to save the RAM here cuz gc will get it but anyway...
return True