Add support for videos using ffmpeg for transcoding to webm format and HTML5 video tag.
This commit is contained in:
Jerome Charaoui
@ -6,6 +6,8 @@ import os.path
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from PIL import Image
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from PIL.ExifTags import TAGS
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import gc
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import tempfile
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import subprocess
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class Album(object):
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def __init__(self, path):
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@ -102,12 +104,13 @@ class Album(object):
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if trim_base(path) == photo._path:
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return photo
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return None
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class Photo(object):
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thumb_sizes = [ (75, True), (150, True), (640, False), (800, False), (1024, False) ]
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def __init__(self, path, thumb_path=None, attributes=None):
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self._path = trim_base(path)
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self.is_valid = True
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image = None
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try:
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mtime = file_mtime(path)
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except KeyboardInterrupt:
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@ -120,17 +123,26 @@ class Photo(object):
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return
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self._attributes = {}
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self._attributes["dateTimeFile"] = mtime
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self._attributes["mediaType"] = "photo"
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try:
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image = Image.open(path)
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except KeyboardInterrupt:
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raise
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except:
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self._video_metadata(path)
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if isinstance(image, Image.Image):
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self._photo_metadata(image)
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self._photo_thumbnails(image, thumb_path, path)
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elif self._attributes["mediaType"] == "video":
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self._video_metadata(path)
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self._video_thumbnails(thumb_path, path)
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self._video_transcode(thumb_path, path)
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else:
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self.is_valid = False
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return
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self._metadata(image)
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self._thumbnails(image, thumb_path, path)
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def _metadata(self, image):
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def _photo_metadata(self, image):
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self._attributes["size"] = image.size
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self._orientation = 1
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try:
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@ -160,8 +172,8 @@ class Photo(object):
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self._orientation = exif["Orientation"];
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if self._orientation in range(5, 9):
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self._attributes["size"] = (self._attributes["size"][1], self._attributes["size"][0])
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if self._orientation - 1 < len(self._metadata.orientation_list):
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self._attributes["orientation"] = self._metadata.orientation_list[self._orientation - 1]
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if self._orientation - 1 < len(self._photo_metadata.orientation_list):
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self._attributes["orientation"] = self._photo_metadata.orientation_list[self._orientation - 1]
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if "Make" in exif:
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self._attributes["make"] = exif["Make"]
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if "Model" in exif:
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@ -180,32 +192,32 @@ class Photo(object):
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self._attributes["iso"] = exif["PhotographicSensitivity"]
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if "ExposureTime" in exif:
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self._attributes["exposureTime"] = exif["ExposureTime"]
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if "Flash" in exif and exif["Flash"] in self._metadata.flash_dictionary:
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if "Flash" in exif and exif["Flash"] in self._photo_metadata.flash_dictionary:
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try:
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self._attributes["flash"] = self._metadata.flash_dictionary[exif["Flash"]]
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self._attributes["flash"] = self._photo_metadata.flash_dictionary[exif["Flash"]]
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except KeyboardInterrupt:
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raise
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except:
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pass
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if "LightSource" in exif and exif["LightSource"] in self._metadata.light_source_dictionary:
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if "LightSource" in exif and exif["LightSource"] in self._photo_metadata.light_source_dictionary:
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try:
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self._attributes["lightSource"] = self._metadata.light_source_dictionary[exif["LightSource"]]
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self._attributes["lightSource"] = self._photo_metadata.light_source_dictionary[exif["LightSource"]]
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except KeyboardInterrupt:
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raise
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except:
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pass
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if "ExposureProgram" in exif and exif["ExposureProgram"] < len(self._metadata.exposure_list):
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self._attributes["exposureProgram"] = self._metadata.exposure_list[exif["ExposureProgram"]]
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if "ExposureProgram" in exif and exif["ExposureProgram"] < len(self._photo_metadata.exposure_list):
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self._attributes["exposureProgram"] = self._photo_metadata.exposure_list[exif["ExposureProgram"]]
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if "SpectralSensitivity" in exif:
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self._attributes["spectralSensitivity"] = exif["SpectralSensitivity"]
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if "MeteringMode" in exif and exif["MeteringMode"] < len(self._metadata.metering_list):
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self._attributes["meteringMode"] = self._metadata.metering_list[exif["MeteringMode"]]
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if "SensingMethod" in exif and exif["SensingMethod"] < len(self._metadata.sensing_method_list):
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self._attributes["sensingMethod"] = self._metadata.sensing_method_list[exif["SensingMethod"]]
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if "SceneCaptureType" in exif and exif["SceneCaptureType"] < len(self._metadata.scene_capture_type_list):
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self._attributes["sceneCaptureType"] = self._metadata.scene_capture_type_list[exif["SceneCaptureType"]]
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if "SubjectDistanceRange" in exif and exif["SubjectDistanceRange"] < len(self._metadata.subject_distance_range_list):
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self._attributes["subjectDistanceRange"] = self._metadata.subject_distance_range_list[exif["SubjectDistanceRange"]]
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if "MeteringMode" in exif and exif["MeteringMode"] < len(self._photo_metadata.metering_list):
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self._attributes["meteringMode"] = self._photo_metadata.metering_list[exif["MeteringMode"]]
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if "SensingMethod" in exif and exif["SensingMethod"] < len(self._photo_metadata.sensing_method_list):
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self._attributes["sensingMethod"] = self._photo_metadata.sensing_method_list[exif["SensingMethod"]]
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if "SceneCaptureType" in exif and exif["SceneCaptureType"] < len(self._photo_metadata.scene_capture_type_list):
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self._attributes["sceneCaptureType"] = self._photo_metadata.scene_capture_type_list[exif["SceneCaptureType"]]
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if "SubjectDistanceRange" in exif and exif["SubjectDistanceRange"] < len(self._photo_metadata.subject_distance_range_list):
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self._attributes["subjectDistanceRange"] = self._photo_metadata.subject_distance_range_list[exif["SubjectDistanceRange"]]
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if "ExposureCompensation" in exif:
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self._attributes["exposureCompensation"] = exif["ExposureCompensation"]
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if "ExposureBiasValue" in exif:
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@ -215,15 +227,38 @@ class Photo(object):
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if "DateTime" in exif:
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self._attributes["dateTime"] = exif["DateTime"]
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_metadata.flash_dictionary = {0x0: "No Flash", 0x1: "Fired",0x5: "Fired, Return not detected",0x7: "Fired, Return detected",0x8: "On, Did not fire",0x9: "On, Fired",0xd: "On, Return not detected",0xf: "On, Return detected",0x10: "Off, Did not fire",0x14: "Off, Did not fire, Return not detected",0x18: "Auto, Did not fire",0x19: "Auto, Fired",0x1d: "Auto, Fired, Return not detected",0x1f: "Auto, Fired, Return detected",0x20: "No flash function",0x30: "Off, No flash function",0x41: "Fired, Red-eye reduction",0x45: "Fired, Red-eye reduction, Return not detected",0x47: "Fired, Red-eye reduction, Return detected",0x49: "On, Red-eye reduction",0x4d: "On, Red-eye reduction, Return not detected",0x4f: "On, Red-eye reduction, Return detected",0x50: "Off, Red-eye reduction",0x58: "Auto, Did not fire, Red-eye reduction",0x59: "Auto, Fired, Red-eye reduction",0x5d: "Auto, Fired, Red-eye reduction, Return not detected",0x5f: "Auto, Fired, Red-eye reduction, Return detected"}
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_metadata.light_source_dictionary = {0: "Unknown", 1: "Daylight", 2: "Fluorescent", 3: "Tungsten (incandescent light)", 4: "Flash", 9: "Fine weather", 10: "Cloudy weather", 11: "Shade", 12: "Daylight fluorescent (D 5700 - 7100K)", 13: "Day white fluorescent (N 4600 - 5400K)", 14: "Cool white fluorescent (W 3900 - 4500K)", 15: "White fluorescent (WW 3200 - 3700K)", 17: "Standard light A", 18: "Standard light B", 19: "Standard light C", 20: "D55", 21: "D65", 22: "D75", 23: "D50", 24: "ISO studio tungsten"}
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_metadata.metering_list = ["Unknown", "Average", "Center-weighted average", "Spot", "Multi-spot", "Multi-segment", "Partial"]
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_metadata.exposure_list = ["Not Defined", "Manual", "Program AE", "Aperture-priority AE", "Shutter speed priority AE", "Creative (Slow speed)", "Action (High speed)", "Portrait", "Landscape", "Bulb"]
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_metadata.orientation_list = ["Horizontal (normal)", "Mirror horizontal", "Rotate 180", "Mirror vertical", "Mirror horizontal and rotate 270 CW", "Rotate 90 CW", "Mirror horizontal and rotate 90 CW", "Rotate 270 CW"]
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_metadata.sensing_method_list = ["Not defined", "One-chip color area sensor", "Two-chip color area sensor", "Three-chip color area sensor", "Color sequential area sensor", "Trilinear sensor", "Color sequential linear sensor"]
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_metadata.scene_capture_type_list = ["Standard", "Landscape", "Portrait", "Night scene"]
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_metadata.subject_distance_range_list = ["Unknown", "Macro", "Close view", "Distant view"]
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_photo_metadata.flash_dictionary = {0x0: "No Flash", 0x1: "Fired",0x5: "Fired, Return not detected",0x7: "Fired, Return detected",0x8: "On, Did not fire",0x9: "On, Fired",0xd: "On, Return not detected",0xf: "On, Return detected",0x10: "Off, Did not fire",0x14: "Off, Did not fire, Return not detected",0x18: "Auto, Did not fire",0x19: "Auto, Fired",0x1d: "Auto, Fired, Return not detected",0x1f: "Auto, Fired, Return detected",0x20: "No flash function",0x30: "Off, No flash function",0x41: "Fired, Red-eye reduction",0x45: "Fired, Red-eye reduction, Return not detected",0x47: "Fired, Red-eye reduction, Return detected",0x49: "On, Red-eye reduction",0x4d: "On, Red-eye reduction, Return not detected",0x4f: "On, Red-eye reduction, Return detected",0x50: "Off, Red-eye reduction",0x58: "Auto, Did not fire, Red-eye reduction",0x59: "Auto, Fired, Red-eye reduction",0x5d: "Auto, Fired, Red-eye reduction, Return not detected",0x5f: "Auto, Fired, Red-eye reduction, Return detected"}
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_photo_metadata.light_source_dictionary = {0: "Unknown", 1: "Daylight", 2: "Fluorescent", 3: "Tungsten (incandescent light)", 4: "Flash", 9: "Fine weather", 10: "Cloudy weather", 11: "Shade", 12: "Daylight fluorescent (D 5700 - 7100K)", 13: "Day white fluorescent (N 4600 - 5400K)", 14: "Cool white fluorescent (W 3900 - 4500K)", 15: "White fluorescent (WW 3200 - 3700K)", 17: "Standard light A", 18: "Standard light B", 19: "Standard light C", 20: "D55", 21: "D65", 22: "D75", 23: "D50", 24: "ISO studio tungsten"}
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_photo_metadata.metering_list = ["Unknown", "Average", "Center-weighted average", "Spot", "Multi-spot", "Multi-segment", "Partial"]
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_photo_metadata.exposure_list = ["Not Defined", "Manual", "Program AE", "Aperture-priority AE", "Shutter speed priority AE", "Creative (Slow speed)", "Action (High speed)", "Portrait", "Landscape", "Bulb"]
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_photo_metadata.orientation_list = ["Horizontal (normal)", "Mirror horizontal", "Rotate 180", "Mirror vertical", "Mirror horizontal and rotate 270 CW", "Rotate 90 CW", "Mirror horizontal and rotate 90 CW", "Rotate 270 CW"]
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_photo_metadata.sensing_method_list = ["Not defined", "One-chip color area sensor", "Two-chip color area sensor", "Three-chip color area sensor", "Color sequential area sensor", "Trilinear sensor", "Color sequential linear sensor"]
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_photo_metadata.scene_capture_type_list = ["Standard", "Landscape", "Portrait", "Night scene"]
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_photo_metadata.subject_distance_range_list = ["Unknown", "Macro", "Close view", "Distant view"]
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def _video_metadata(self, path, original=True):
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try:
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p = subprocess.check_output(['/usr/bin/ffprobe', '-show_format', '-show_streams', '-of', 'json', '-loglevel', '0', path])
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except KeyboardInterrupt:
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raise
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except:
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return
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info = json.loads(p)
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for s in info["streams"]:
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if 'codec_type' in s and s['codec_type'] == 'video':
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if original:
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self._attributes["mediaType"] = "video"
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self._attributes["originalSize"] = (int(s["width"]), int(s["height"]))
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self._attributes["duration"] = s["duration"]
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if "tags" in s:
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# creation_time only in UTC!
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# https://code.google.com/p/android/issues/detail?id=60225#c6
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#self._attributes["dateTime"] = s["tags"]["creation_time"]
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if "rotate" in s["tags"]:
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self._attributes["rotate"] = s["tags"]["rotate"]
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else:
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self._attributes["size"] = (int(s["width"]), int(s["height"]))
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def _thumbnail(self, image, thumb_path, original_path, size, square=False):
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thumb_path = os.path.join(thumb_path, image_cache(self._path, size, square))
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info_string = "%s -> %spx" % (os.path.basename(original_path), str(size))
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@ -268,7 +303,7 @@ class Photo(object):
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message("save failure", os.path.basename(thumb_path))
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os.unlink(thumb_path)
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def _thumbnails(self, image, thumb_path, original_path):
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def _photo_thumbnails(self, image, thumb_path, original_path):
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mirror = image
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if self._orientation == 2:
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# Vertical Mirror
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@ -293,6 +328,73 @@ class Photo(object):
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mirror = image.transpose(Image.ROTATE_90)
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for size in Photo.thumb_sizes:
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self._thumbnail(mirror, thumb_path, original_path, size[0], size[1])
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def _video_thumbnails(self, thumb_path, original_path):
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(tfd, tfn) = tempfile.mkstemp();
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try:
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subprocess.check_call(['/usr/bin/ffmpeg', '-i', original_path, '-f', 'image2', '-vsync', '1', '-vframes', '1', '-an', '-loglevel', 'quiet', tfn])
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except KeyboardInterrupt:
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os.unlink(tfn)
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raise
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except:
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message("couldn't extract video frame", os.path.basename(original_path))
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os.unlink(tfn)
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return
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try:
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image = Image.open(tfn)
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except KeyboardInterrupt:
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raise
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except:
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message("couldn't open video thumbnail", tfn)
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os.unlink(tfn)
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return
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mirror = image
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if "rotate" in self._attributes:
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if self._attributes["rotate"] == "90":
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mirror = image.transpose(Image.ROTATE_270)
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elif self._attributes["rotate"] == "180":
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mirror = image.transpose(Image.ROTATE_180)
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elif self._attributes["rotate"] == "270":
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mirror = image.transpose(Image.ROTATE_90)
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for size in Photo.thumb_sizes:
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if size[1]:
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self._thumbnail(mirror, thumb_path, original_path, size[0], size[1])
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os.unlink(tfn)
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def _video_transcode(self, transcode_path, original_path):
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transcode_path = os.path.join(transcode_path, cache_base(self._path) + '.webm')
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transcode_cmd = ['/usr/bin/ffmpeg', '-i', original_path, '-c:v', 'libvpx', '-crf', '10', '-b:v', '800k', '-c:a', 'libvorbis', '-f', 'webm', '-threads', '2', '-loglevel', '0', '-y']
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filters = []
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info_string = "%s -> webm" % (os.path.basename(original_path))
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message("transcoding", info_string)
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if os.path.exists(transcode_path) and file_mtime(transcode_path) >= self._attributes["dateTimeFile"]:
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return
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if "originalSize" in self._attributes and self._attributes["originalSize"][1] > 720:
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filters.append("scale=trunc(oh*a/2)*2:min(720\,iw)")
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if "rotate" in self._attributes:
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if self._attributes["rotate"] == "90":
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filters.append('transpose=1')
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elif self._attributes["rotate"] == "180":
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filters.append('vflip,hflip')
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elif self._attributes["rotate"] == "270":
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filters.append('transpose=2')
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if len(filters):
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transcode_cmd.append('-vf')
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transcode_cmd.append(','.join(filters))
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transcode_cmd.append(transcode_path)
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try:
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subprocess.call(transcode_cmd)
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except KeyboardInterrupt:
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raise
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except:
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message("transcoding failure", os.path.basename(original_path))
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try:
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os.unlink(transcode_path)
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except:
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pass
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return
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self._video_metadata(transcode_path, False)
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@property
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def name(self):
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return os.path.basename(self._path)
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@ -303,7 +405,15 @@ class Photo(object):
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return self._path
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@property
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def image_caches(self):
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return [image_cache(self._path, size[0], size[1]) for size in Photo.thumb_sizes]
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caches = []
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if "mediaType" in self._attributes and self._attributes["mediaType"] == "video":
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for size in Photo.thumb_sizes:
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if size[1]:
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caches.append(image_cache(self._path, size[0], size[1]))
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caches.append(cache_base(self._path) + '.webm')
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else:
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caches = [image_cache(self._path, size[0], size[1]) for size in Photo.thumb_sizes]
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return caches
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@property
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def date(self):
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if not self.is_valid:
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