mirror of
https://github.com/SickGear/SickGear.git
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308 lines
11 KiB
Python
308 lines
11 KiB
Python
from hachoir.metadata.metadata import RootMetadata, registerExtractor
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from hachoir.metadata.image import computeComprRate
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from hachoir.parser.image.exif import IFD, BasicIFDEntry
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from hachoir.parser.image.jpeg import (
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JpegFile, JpegChunk,
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QUALITY_HASH_COLOR, QUALITY_SUM_COLOR,
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QUALITY_HASH_GRAY, QUALITY_SUM_GRAY)
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from hachoir.field import MissingField
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from hachoir.core.tools import makeUnicode
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from hachoir.metadata.safe import fault_tolerant
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from datetime import datetime
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def deg2float(degree, minute, second):
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return degree + (float(minute) + float(second) / 60.0) / 60.0
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class JpegMetadata(RootMetadata):
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EXIF_KEY = {
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# Exif metadatas
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"Make": "camera_manufacturer",
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"Model": "camera_model",
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"Orientation": "image_orientation",
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"ExposureTime": "camera_exposure",
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"FNumber": "camera_focal",
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"BrightnessValue": "camera_brightness",
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"MaxApertureValue": "camera_aperture",
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"ISOSpeedRatings": "iso_speed_ratings",
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"ExifVersion": "exif_version",
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"DateTimeOriginal": "date_time_original",
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"DateTimeDigitized": "date_time_digitized",
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"CompressedBitsPerPixel": "compressed_bits_per_pixel",
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"ShutterSpeedValue": "shutter_speed_value",
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"ApertureValue": "aperture_value",
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"ExposureBiasValue": "exposure_bias_value",
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"FocalLength": "focal_length",
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"FlashpixVersion": "flashpix_version",
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"FocalPlaneXResolution": "focal_plane_x_resolution",
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"FocalPlaneYResolution": "focal_plane_y_resolution",
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"FocalLengthIn35mmFilm": "focal_length_in_35mm_film",
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# Generic metadatas
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"ImageDescription": "title",
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"Software": "producer",
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"DateTime": "creation_date",
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"PixelXDimension": "width",
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"PixelYDimension": "height",
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"UserComment": "comment",
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"JPEGInterchangeFormatLength": "thumbnail_size",
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}
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IPTC_KEY = {
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80: "author",
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90: "city",
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101: "country",
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116: "copyright",
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120: "title",
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231: "comment",
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}
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orientation_name = {
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1: 'Horizontal (normal)',
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2: 'Mirrored horizontal',
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3: 'Rotated 180',
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4: 'Mirrored vertical',
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5: 'Mirrored horizontal then rotated 90 counter-clock-wise',
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6: 'Rotated 90 clock-wise',
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7: 'Mirrored horizontal then rotated 90 clock-wise',
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8: 'Rotated 90 counter clock-wise',
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}
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def extract(self, jpeg):
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if "start_frame/content" in jpeg:
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self.startOfFrame(jpeg["start_frame/content"])
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elif "start_scan/content/nr_components" in jpeg:
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self.bits_per_pixel = 8 * \
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jpeg["start_scan/content/nr_components"].value
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if "app0/content" in jpeg:
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self.extractAPP0(jpeg["app0/content"])
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if getattr(jpeg, 'parse_exif', True) and "exif/content" in jpeg:
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for l, ifd in enumerate(jpeg['exif/content']):
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# patch prevent endless loop
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if l > 100:
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break
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if not isinstance(ifd, IFD):
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continue
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for entry in ifd.array("entry"):
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self.processIfdEntry(ifd, entry)
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self.readGPS(ifd)
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if getattr(jpeg, 'parse_photoshop_content', True) and "photoshop/content" in jpeg:
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psd = jpeg["photoshop/content"]
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if "version/content/reader_name" in psd:
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self.producer = psd["version/content/reader_name"].value
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if "iptc/content" in psd:
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self.parseIPTC(psd["iptc/content"])
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if getattr(jpeg, 'parse_comments', True):
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for field in jpeg.array("comment"):
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if "content/comment" in field:
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self.comment = field["content/comment"].value
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self.computeQuality(jpeg)
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if "data" in jpeg:
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computeComprRate(self, jpeg["data"].size)
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if not self.has("producer") and "photoshop" in jpeg:
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self.producer = "Adobe Photoshop"
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if self.has("compression"):
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self.compression = "JPEG"
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@fault_tolerant
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def startOfFrame(self, sof):
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# Set compression method
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key = sof["../type"].value
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self.compression = "JPEG (%s)" % JpegChunk.START_OF_FRAME[key]
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# Read image size and bits/pixel
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self.width = sof["width"].value
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self.height = sof["height"].value
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nb_components = sof["nr_components"].value
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self.bits_per_pixel = 8 * nb_components
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if nb_components == 3:
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self.pixel_format = "YCbCr"
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elif nb_components == 1:
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self.pixel_format = "Grayscale"
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self.nb_colors = 256
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@fault_tolerant
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def computeQuality(self, jpeg):
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# This function is an adaption to Python of ImageMagick code
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# to compute JPEG quality using quantization tables
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# Read quantization tables
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qtlist = []
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for dqt in jpeg.array("quantization"):
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for qt in dqt.array("content/qt"):
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# TODO: Take care of qt["index"].value?
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qtlist.append(qt)
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if not qtlist:
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return
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# Compute sum of all coefficients
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sumcoeff = 0
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for qt in qtlist:
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coeff = qt.array("coeff")
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for index in range(64):
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sumcoeff += coeff[index].value
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# Choose the right quality table and compute hash value
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try:
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hashval = qtlist[0]["coeff[2]"].value + \
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qtlist[0]["coeff[53]"].value
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if 2 <= len(qtlist):
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hashval += qtlist[1]["coeff[0]"].value + \
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qtlist[1]["coeff[63]"].value
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hashtable = QUALITY_HASH_COLOR
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sumtable = QUALITY_SUM_COLOR
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else:
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hashtable = QUALITY_HASH_GRAY
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sumtable = QUALITY_SUM_GRAY
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except (MissingField, IndexError):
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# A coefficient is missing, so don't compute JPEG quality
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return
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# Find the JPEG quality
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for index in range(100):
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if (hashval >= hashtable[index]) or (sumcoeff >= sumtable[index]):
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quality = "%s%%" % (index + 1)
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if (hashval > hashtable[index]) or (sumcoeff > sumtable[index]):
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quality += " " + "(approximate)"
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self.comment = "JPEG quality: %s" % quality
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return
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@fault_tolerant
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def extractAPP0(self, app0):
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self.format_version = "JFIF %u.%02u" \
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% (app0["ver_maj"].value, app0["ver_min"].value)
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if "y_density" in app0:
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self.width_dpi = app0["x_density"].value
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self.height_dpi = app0["y_density"].value
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@fault_tolerant
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def processIfdEntry(self, ifd, entry):
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# Skip unknown tags
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tag = entry["tag"].display
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if tag not in self.EXIF_KEY:
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return
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key = self.EXIF_KEY[tag]
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if key in ("width", "height") and self.has(key):
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# EXIF "valid size" are sometimes not updated when the image is scaled
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# so we just ignore it
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return
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# Read value
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value = ifd.getEntryValues(entry)[0].value
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# Convert value to string
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if tag == "Orientation":
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value = self.orientation_name.get(value, value)
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elif tag == "ExposureTime":
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if not value:
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return
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if isinstance(value, float):
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value = (value, "1/%g" % (1 / value))
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elif entry["type"].value in (BasicIFDEntry.TYPE_RATIONAL, BasicIFDEntry.TYPE_SIGNED_RATIONAL):
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value = (value, "%.3g" % value)
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# Store information
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setattr(self, key, value)
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@fault_tolerant
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def readGPS(self, ifd):
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# Read latitude and longitude
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latitude_ref = None
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longitude_ref = None
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latitude = None
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longitude = None
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altitude_ref = 1
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altitude = None
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timestamp = None
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datestamp = None
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for entry in ifd.array("entry"):
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tag = entry["tag"].display
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values = [v.value for v in ifd.getEntryValues(entry)]
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if tag == "GPSLatitudeRef":
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if values[0] == "N":
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latitude_ref = 1
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else:
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latitude_ref = -1
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elif tag == "GPSLongitudeRef":
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if values[0] == "E":
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longitude_ref = 1
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else:
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longitude_ref = -1
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elif tag == "GPSAltitudeRef":
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if values[0] == 1:
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altitude_ref = -1
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else:
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altitude_ref = 1
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elif tag == "GPSLatitude":
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latitude = values
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elif tag == "GPSLongitude":
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longitude = values
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elif tag == "GPSAltitude":
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altitude = values[0]
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elif tag == "GPSDateStamp":
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datestamp = values[0]
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elif tag == "GPSTimeStamp":
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timestamp = ':'.join(str(int(x)) for x in values)
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if latitude_ref and latitude:
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value = deg2float(*latitude)
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if latitude_ref < 0:
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value = -value
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self.latitude = value
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if longitude and longitude_ref:
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value = deg2float(*longitude)
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if longitude_ref < 0:
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value = -value
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self.longitude = value
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if altitude:
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value = altitude
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if altitude_ref < 0:
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value = -value
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self.altitude = value
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if datestamp:
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if timestamp:
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datestamp += " " + timestamp
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self.creation_date = datestamp
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def parseIPTC(self, iptc):
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datestr = hourstr = None
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for field in iptc:
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# Skip incomplete field
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if "tag" not in field or "content" not in field:
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continue
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# Get value
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value = field["content"].value
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if isinstance(value, str):
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value = value.replace("\r", " ")
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value = value.replace("\n", " ")
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# Skip unknown tag
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tag = field["tag"].value
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if tag == 55:
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datestr = value
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continue
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if tag == 60:
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hourstr = value
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continue
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if tag not in self.IPTC_KEY:
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if tag != 0:
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self.warning("Skip IPTC key %s: %s" % (
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field["tag"].display, makeUnicode(value)))
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continue
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setattr(self, self.IPTC_KEY[tag], value)
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if datestr and hourstr:
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try:
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year = int(datestr[0:4])
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month = int(datestr[4:6])
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day = int(datestr[6:8])
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hour = int(hourstr[0:2])
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min = int(hourstr[2:4])
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sec = int(hourstr[4:6])
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self.creation_date = datetime(year, month, day, hour, min, sec)
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except ValueError:
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pass
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registerExtractor(JpegFile, JpegMetadata)
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