/
jpeg.py
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/
jpeg.py
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from lib.hachoir_metadata.metadata import RootMetadata, registerExtractor
from lib.hachoir_metadata.image import computeComprRate
from lib.hachoir_parser.image.exif import ExifEntry
from lib.hachoir_parser.image.jpeg import (
JpegFile, JpegChunk,
QUALITY_HASH_COLOR, QUALITY_SUM_COLOR,
QUALITY_HASH_GRAY, QUALITY_SUM_GRAY)
from lib.hachoir_core.field import MissingField
from lib.hachoir_core.i18n import _
from lib.hachoir_core.tools import makeUnicode
from lib.hachoir_metadata.safe import fault_tolerant
from datetime import datetime
def deg2float(degree, minute, second):
return degree + (float(minute) + float(second) / 60.0) / 60.0
class JpegMetadata(RootMetadata):
EXIF_KEY = {
# Exif metadatas
ExifEntry.TAG_CAMERA_MANUFACTURER: "camera_manufacturer",
ExifEntry.TAG_CAMERA_MODEL: "camera_model",
ExifEntry.TAG_ORIENTATION: "image_orientation",
ExifEntry.TAG_EXPOSURE: "camera_exposure",
ExifEntry.TAG_FOCAL: "camera_focal",
ExifEntry.TAG_BRIGHTNESS: "camera_brightness",
ExifEntry.TAG_APERTURE: "camera_aperture",
# Generic metadatas
ExifEntry.TAG_IMG_TITLE: "title",
ExifEntry.TAG_SOFTWARE: "producer",
ExifEntry.TAG_FILE_TIMESTAMP: "creation_date",
ExifEntry.TAG_WIDTH: "width",
ExifEntry.TAG_HEIGHT: "height",
ExifEntry.TAG_USER_COMMENT: "comment",
}
IPTC_KEY = {
80: "author",
90: "city",
101: "country",
116: "copyright",
120: "title",
231: "comment",
}
orientation_name = {
1: _('Horizontal (normal)'),
2: _('Mirrored horizontal'),
3: _('Rotated 180'),
4: _('Mirrored vertical'),
5: _('Mirrored horizontal then rotated 90 counter-clock-wise'),
6: _('Rotated 90 clock-wise'),
7: _('Mirrored horizontal then rotated 90 clock-wise'),
8: _('Rotated 90 counter clock-wise'),
}
def extract(self, jpeg):
if "start_frame/content" in jpeg:
self.startOfFrame(jpeg["start_frame/content"])
elif "start_scan/content/nr_components" in jpeg:
self.bits_per_pixel = 8 * jpeg["start_scan/content/nr_components"].value
if "app0/content" in jpeg:
self.extractAPP0(jpeg["app0/content"])
if "exif/content" in jpeg:
for ifd in jpeg.array("exif/content/ifd"):
for entry in ifd.array("entry"):
self.processIfdEntry(ifd, entry)
self.readGPS(ifd)
if "photoshop/content" in jpeg:
psd = jpeg["photoshop/content"]
if "version/content/reader_name" in psd:
self.producer = psd["version/content/reader_name"].value
if "iptc/content" in psd:
self.parseIPTC(psd["iptc/content"])
for field in jpeg.array("comment"):
if "content/comment" in field:
self.comment = field["content/comment"].value
self.computeQuality(jpeg)
if "data" in jpeg:
computeComprRate(self, jpeg["data"].size)
if not self.has("producer") and "photoshop" in jpeg:
self.producer = u"Adobe Photoshop"
if self.has("compression"):
self.compression = "JPEG"
@fault_tolerant
def startOfFrame(self, sof):
# Set compression method
key = sof["../type"].value
self.compression = "JPEG (%s)" % JpegChunk.START_OF_FRAME[key]
# Read image size and bits/pixel
self.width = sof["width"].value
self.height = sof["height"].value
nb_components = sof["nr_components"].value
self.bits_per_pixel = 8 * nb_components
if nb_components == 3:
self.pixel_format = _("YCbCr")
elif nb_components == 1:
self.pixel_format = _("Grayscale")
self.nb_colors = 256
@fault_tolerant
def computeQuality(self, jpeg):
# This function is an adaption to Python of ImageMagick code
# to compute JPEG quality using quantization tables
# Read quantization tables
qtlist = []
for dqt in jpeg.array("quantization"):
for qt in dqt.array("content/qt"):
# TODO: Take care of qt["index"].value?
qtlist.append(qt)
if not qtlist:
return
# Compute sum of all coefficients
sumcoeff = 0
for qt in qtlist:
coeff = qt.array("coeff")
for index in xrange(64):
sumcoeff += coeff[index].value
# Choose the right quality table and compute hash value
try:
hashval= qtlist[0]["coeff[2]"].value + qtlist[0]["coeff[53]"].value
if 2 <= len(qtlist):
hashval += qtlist[1]["coeff[0]"].value + qtlist[1]["coeff[63]"].value
hashtable = QUALITY_HASH_COLOR
sumtable = QUALITY_SUM_COLOR
else:
hashtable = QUALITY_HASH_GRAY
sumtable = QUALITY_SUM_GRAY
except (MissingField, IndexError):
# A coefficient is missing, so don't compute JPEG quality
return
# Find the JPEG quality
for index in xrange(100):
if (hashval >= hashtable[index]) or (sumcoeff >= sumtable[index]):
quality = "%s%%" % (index + 1)
if (hashval > hashtable[index]) or (sumcoeff > sumtable[index]):
quality += " " + _("(approximate)")
self.comment = "JPEG quality: %s" % quality
return
@fault_tolerant
def extractAPP0(self, app0):
self.format_version = u"JFIF %u.%02u" \
% (app0["ver_maj"].value, app0["ver_min"].value)
if "y_density" in app0:
self.width_dpi = app0["x_density"].value
self.height_dpi = app0["y_density"].value
@fault_tolerant
def processIfdEntry(self, ifd, entry):
# Skip unknown tags
tag = entry["tag"].value
if tag not in self.EXIF_KEY:
return
key = self.EXIF_KEY[tag]
if key in ("width", "height") and self.has(key):
# EXIF "valid size" are sometimes not updated when the image is scaled
# so we just ignore it
return
# Read value
if "value" in entry:
value = entry["value"].value
else:
value = ifd["value_%s" % entry.name].value
# Convert value to string
if tag == ExifEntry.TAG_ORIENTATION:
value = self.orientation_name.get(value, value)
elif tag == ExifEntry.TAG_EXPOSURE:
if not value:
return
if isinstance(value, float):
value = (value, u"1/%g" % (1/value))
elif entry["type"].value in (ExifEntry.TYPE_RATIONAL, ExifEntry.TYPE_SIGNED_RATIONAL):
value = (value, u"%.3g" % value)
# Store information
setattr(self, key, value)
@fault_tolerant
def readGPS(self, ifd):
# Read latitude and longitude
latitude_ref = None
longitude_ref = None
latitude = None
longitude = None
altitude_ref = 1
altitude = None
timestamp = None
datestamp = None
for entry in ifd.array("entry"):
tag = entry["tag"].value
if tag == ExifEntry.TAG_GPS_LATITUDE_REF:
if entry["value"].value == "N":
latitude_ref = 1
else:
latitude_ref = -1
elif tag == ExifEntry.TAG_GPS_LONGITUDE_REF:
if entry["value"].value == "E":
longitude_ref = 1
else:
longitude_ref = -1
elif tag == ExifEntry.TAG_GPS_ALTITUDE_REF:
if entry["value"].value == 1:
altitude_ref = -1
else:
altitude_ref = 1
elif tag == ExifEntry.TAG_GPS_LATITUDE:
latitude = [ifd["value_%s[%u]" % (entry.name, index)].value for index in xrange(3)]
elif tag == ExifEntry.TAG_GPS_LONGITUDE:
longitude = [ifd["value_%s[%u]" % (entry.name, index)].value for index in xrange(3)]
elif tag == ExifEntry.TAG_GPS_ALTITUDE:
altitude = ifd["value_%s" % entry.name].value
elif tag == ExifEntry.TAG_GPS_DATESTAMP:
datestamp = ifd["value_%s" % entry.name].value
elif tag == ExifEntry.TAG_GPS_TIMESTAMP:
items = [ifd["value_%s[%u]" % (entry.name, index)].value for index in xrange(3)]
items = map(int, items)
items = map(str, items)
timestamp = ":".join(items)
if latitude_ref and latitude:
value = deg2float(*latitude)
if latitude_ref < 0:
value = -value
self.latitude = value
if longitude and longitude_ref:
value = deg2float(*longitude)
if longitude_ref < 0:
value = -value
self.longitude = value
if altitude:
value = altitude
if altitude_ref < 0:
value = -value
self.altitude = value
if datestamp:
if timestamp:
datestamp += " " + timestamp
self.creation_date = datestamp
def parseIPTC(self, iptc):
datestr = hourstr = None
for field in iptc:
# Skip incomplete field
if "tag" not in field or "content" not in field:
continue
# Get value
value = field["content"].value
if isinstance(value, (str, unicode)):
value = value.replace("\r", " ")
value = value.replace("\n", " ")
# Skip unknown tag
tag = field["tag"].value
if tag == 55:
datestr = value
continue
if tag == 60:
hourstr = value
continue
if tag not in self.IPTC_KEY:
if tag != 0:
self.warning("Skip IPTC key %s: %s" % (
field["tag"].display, makeUnicode(value)))
continue
setattr(self, self.IPTC_KEY[tag], value)
if datestr and hourstr:
try:
year = int(datestr[0:4])
month = int(datestr[4:6])
day = int(datestr[6:8])
hour = int(hourstr[0:2])
min = int(hourstr[2:4])
sec = int(hourstr[4:6])
self.creation_date = datetime(year, month, day, hour, min, sec)
except ValueError:
pass
registerExtractor(JpegFile, JpegMetadata)