Source code for ocrd_models.ocrd_exif

"""
Technical image metadata
"""

from math import sqrt
from io import BytesIO
from subprocess import run, PIPE
from shutil import which
from ocrd_utils import getLogger

[docs] class OcrdExif(): """Represents technical image metadata. Attributes: width (int): pixel dimensions height (int): pixel dimensions photometricInterpretation (str): pixel type/depth, e.g. \ * ``1`` for b/w, * ``L`` for 8-bit grayscale, * ``RGB`` for 24-bit truecolor, * ``I`` for 32-bit signed integer grayscale, * ``F`` for floating-point grayscale (see PIL concept **mode**) resolution (int): pixel density xResolution (int): pixel density yResolution (int): pixel density resolutionUnit (str): unit of measurement (either ``inches`` or ``cm``) """ def __init__(self, img): """ Arguments: img (`PIL.Image`): PIL image technical metadata is about. """ # print(img.__dict__) self.width = img.width self.height = img.height self.photometricInterpretation = img.mode self.n_frames = img.n_frames if 'n_frames' in img.__dict__ else 1 if which('identify'): self.run_identify(img) else: getLogger('ocrd.exif').warning("ImageMagick 'identify' not available, Consider installing ImageMagick for more robust pixel density estimation") self.run_pil(img)
[docs] def run_identify(self, img): for prop in ['compression', 'photometric_interpretation']: setattr(self, prop, img.info[prop] if prop in img.info else None) if img.filename: ret = run(['identify', '-format', r'%[resolution.x] %[resolution.y] %U', img.filename], check=False, stderr=PIPE, stdout=PIPE) else: with BytesIO() as bio: img.save(bio, format=img.format) ret = run(['identify', '-format', r'%[resolution.x] %[resolution.y] %U', '/dev/stdin'], check=False, stderr=PIPE, stdout=PIPE, input=bio.getvalue()) if ret.returncode: stderr = ret.stderr.decode('utf-8') if 'no decode delegate for this image format' in stderr: getLogger('ocrd.exif').warning("ImageMagick does not support the '%s' image format. ", img.format) else: getLogger('ocrd.exif').error("identify exited with non-zero %s: %s", ret.returncode, stderr) self.xResolution = self.yResolution = 1 self.resolutionUnit = 'inches' else: tokens = ret.stdout.decode('utf-8').split(' ', 3) self.xResolution = max(int(float(tokens[0])), 1) self.yResolution = max(int(float(tokens[1])), 1) self.resolutionUnit = 'inches' if tokens[2] == 'undefined' else \ 'cm' if tokens[2] == 'PixelsPerCentimeter' else \ 'inches' self.resolution = round(sqrt(self.xResolution * self.yResolution))
[docs] def run_pil(self, img): if img.format in ('TIFF', 'PNG') and 'dpi' in img.info: self.xResolution = int(img.info['dpi'][0]) self.yResolution = int(img.info['dpi'][1]) if img.format == 'TIFF': self.resolutionUnit = 'cm' if img.tag.get(296) == 3 else 'inches' else: self.resolutionUnit = 'inches' elif img.format == 'JPEG' and 'jfif_density' in img.info: self.xResolution = img.info['jfif_density'][0] self.yResolution = img.info['jfif_density'][1] self.resolutionUnit = 'cm' if img.info['jfif_unit'] == 2 else 'inches' elif img.format == 'PNG' and 'aspect' in img.info: self.xResolution = img.info['aspect'][0] self.yResolution = img.info['aspect'][1] self.resolutionUnit = 'inches' else: # if img.format == 'JPEG2000': # import sys # print('JPEG 2000 not supported yet :(', file=sys.stderr) self.xResolution = 1 self.yResolution = 1 self.resolutionUnit = 'inches' # print('format=%s type=%s' % (img.format, type(self.xResolution)) self.resolution = round(sqrt(self.xResolution * self.yResolution))
[docs] def to_xml(self): """ Serialize all properties as XML string. """ ret = '<exif>' for k in self.__dict__: ret += '<%s>%s</%s>' % (k, self.__dict__[k], k) ret += '</exif>' return ret