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mirror of https://github.com/moparisthebest/SickRage synced 2024-11-16 14:25:02 -05:00
SickRage/lib/hachoir_metadata/jpeg.py
echel0n 0d9fbc1ad7 Welcome to our SickBeard-TVRage Edition ...
This version of SickBeard uses both TVDB and TVRage to search and gather it's series data from allowing you to now have access to and download shows that you couldn't before because of being locked into only what TheTVDB had to offer.

Also this edition is based off the code we used in our XEM editon so it does come with scene numbering support as well as all the other features our XEM edition has to offer.

Please before using this with your existing database (sickbeard.db) please make a backup copy of it and delete any other database files such as cache.db and failed.db if present, we HIGHLY recommend starting out with no database files at all to make this a fresh start but the choice is at your own risk!

Enjoy!
2014-03-09 22:39:12 -07:00

290 lines
11 KiB
Python

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)