First attempt at merging video-patch.
This commit is contained in:
commit
ac52f76025
@ -24,14 +24,16 @@ def trim_base_custom(path, base):
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return path
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def trim_base(path):
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return trim_base_custom(path, trim_base.base)
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def cache_base(path):
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def cache_base(path, filepath=False):
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if len(path) == 0:
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return "root"
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elif filepath and len(path.split(os.sep)) < 2:
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path = "root-" + path
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path = trim_base(path).replace('/', '-').replace(' ', '_').replace('(', '').replace('&', '').replace(',', '').replace(')', '').replace('#', '').replace('[', '').replace(']', '').replace('"', '').replace("'", '').replace('_-_', '-').lower()
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while path.find("--") != -1:
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path = path.replace("--", "-")
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while path.find("__") != -1:
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path = path.replace("__", "_")
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if len(path) == 0:
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path = "root"
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return path
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def json_cache(path):
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return cache_base(path) + ".json"
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@ -40,6 +42,8 @@ def image_cache(path, size, square=False):
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suffix = str(size) + "s"
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else:
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suffix = str(size)
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return cache_base(path) + "_" + suffix + ".jpg"
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return cache_base(path, True) + "_" + suffix + ".jpg"
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def video_cache(path):
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return cache_base(path, True) + ".webm"
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def file_mtime(path):
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return datetime.fromtimestamp(int(os.path.getmtime(path)))
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@ -7,13 +7,15 @@ from PIL import Image
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from PIL.ExifTags import TAGS
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from multiprocessing import Pool
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import gc
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import tempfile
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from VideoToolWrapper import *
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def make_thumbs(self, original_path, thumb_path, size):
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def make_photo_thumbs(self, original_path, thumb_path, size):
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# The pool methods use a queue.Queue to pass tasks to the worker processes.
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# Everything that goes through the queue.Queue must be pickable, and since
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# self._thumbnail is not defined at the top level, it's not pickable.
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# self._photo_thumbnail is not defined at the top level, it's not pickable.
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# This is why we have this "dummy" function, so that it's pickable.
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self._thumbnail(original_path, thumb_path, size[0], size[1])
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self._photo_thumbnail(original_path, thumb_path, size[0], size[1])
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class Album(object):
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def __init__(self, path):
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@ -110,12 +112,13 @@ 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), (1024, False), (1600, 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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@ -128,17 +131,26 @@ 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)
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elif self._attributes["mediaType"] == "video":
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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(path)
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self._thumbnails(path, thumb_path)
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def _metadata(self, path):
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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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@ -168,8 +180,8 @@ 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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@ -188,51 +200,72 @@ 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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self._attributes["exposureCompensation"] = exif["ExposureBiasValue"]
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if "DateTimeOriginal" in exif:
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self._attributes["dateTimeOriginal"] = exif["DateTimeOriginal"]
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self._attributes["dateTimeOriginal"] = datetime.strptime(exif["DateTimeOriginal"], '%Y:%m:%d %H:%M:%S')
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if "DateTime" in exif:
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self._attributes["dateTime"] = exif["DateTime"]
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self._attributes["dateTime"] = datetime.strptime(exif["DateTime"], '%Y:%m:%d %H:%M:%S')
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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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def _thumbnail(self, original_path, thumb_path, size, square=False):
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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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p = VideoProbeWrapper().call('-show_format', '-show_streams', '-of', 'json', '-loglevel', '0', path)
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if p == False:
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self.is_valid = False
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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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self._attributes["mediaType"] = "video"
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self._attributes["size"] = (int(s["width"]), int(s["height"]))
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if "duration" in s:
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self._attributes["duration"] = s["duration"]
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if "tags" in s and "rotate" in s["tags"]:
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self._attributes["rotate"] = s["tags"]["rotate"]
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if original:
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self._attributes["originalSize"] = (int(s["width"]), int(s["height"]))
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break
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def _photo_thumbnail(self, original_path, thumb_path, size, square=False):
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try:
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image = Image.open(original_path)
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except KeyboardInterrupt:
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@ -284,6 +317,7 @@ class Photo(object):
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raise
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except:
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message("corrupt image", os.path.basename(original_path))
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self.is_valid = False
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return
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if square:
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if image.size[0] > image.size[1]:
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@ -313,16 +347,81 @@ class Photo(object):
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os.unlink(thumb_path)
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except:
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pass
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def _thumbnails(self, original_path, thumb_path):
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def _photo_thumbnails(self, original_path, thumb_path):
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# get number of cores on the system, and use all minus one
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num_of_cores = os.sysconf('SC_NPROCESSORS_ONLN') - 1
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pool = Pool(processes=num_of_cores)
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for size in Photo.thumb_sizes:
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pool.apply_async(make_thumbs, args = (self, original_path, thumb_path, size))
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pool.apply_async(make_photo_thumbs, args = (self, original_path, thumb_path, size))
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pool.close()
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pool.join()
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def _video_thumbnails(self, thumb_path, original_path):
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(tfd, tfn) = tempfile.mkstemp();
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p = VideoTranscodeWrapper().call('-i', original_path, '-f', 'image2', '-vsync', '1', '-vframes', '1', '-an', '-loglevel', 'quiet', tfn)
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if p == False:
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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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self.is_valid = False
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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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self.is_valid = False
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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, video_cache(self._path))
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# get number of cores on the system, and use all minus one
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num_of_cores = os.sysconf('SC_NPROCESSORS_ONLN') - 1
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transcode_cmd = ['-i', original_path, '-c:v', 'libvpx', '-crf', '10', '-b:v', '800k', '-c:a', 'libvorbis', '-f', 'webm', '-threads', num_of_cores, '-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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self._video_metadata(transcode_path, False)
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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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p = VideoTranscodeWrapper().call(*transcode_cmd)
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if p == False:
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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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self.is_valid = False
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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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@ -333,7 +432,15 @@ 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(video_cache(self._path))
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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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correct_date = None;
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|
38
scanner/VideoToolWrapper.py
Normal file
38
scanner/VideoToolWrapper.py
Normal file
@ -0,0 +1,38 @@
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from CachePath import message
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import os
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import subprocess
|
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|
||||
class VideoToolWrapper(object):
|
||||
def call(self, *args):
|
||||
path = args[-1]
|
||||
for tool in self.wrappers:
|
||||
try:
|
||||
p = subprocess.check_output((tool,) + args)
|
||||
except KeyboardInterrupt:
|
||||
if self.cleanup:
|
||||
self.remove(path)
|
||||
raise
|
||||
except OSError:
|
||||
continue
|
||||
except:
|
||||
if self.cleanup:
|
||||
self.remove(path)
|
||||
return False
|
||||
return p
|
||||
return False
|
||||
|
||||
def remove(self, path):
|
||||
try:
|
||||
os.unlink(path)
|
||||
except:
|
||||
pass
|
||||
|
||||
class VideoTranscodeWrapper(VideoToolWrapper):
|
||||
def __init__(self):
|
||||
self.wrappers = ['avconv', 'ffmpeg']
|
||||
self.cleanup = True
|
||||
|
||||
class VideoProbeWrapper(VideoToolWrapper):
|
||||
def __init__(self):
|
||||
self.wrappers = ['avprobe', 'ffprobe']
|
||||
self.cleanup = False
|
@ -91,9 +91,14 @@ a:hover {
|
||||
right: 0;
|
||||
text-align: center;
|
||||
}
|
||||
#photo-box {
|
||||
#photo-box, #video-box {
|
||||
display: inline;
|
||||
}
|
||||
#video-box-inner {
|
||||
position: absolute;
|
||||
top: 50%;
|
||||
width: 100%;
|
||||
}
|
||||
#photo-links {
|
||||
background-color: #000000;
|
||||
font-weight: bold;
|
||||
@ -194,6 +199,14 @@ a:hover {
|
||||
font-weight: bold;
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
#video-unsupported {
|
||||
background-image: url(../img/video-unsupported.png);
|
||||
background-position: top center;
|
||||
background-repeat: no-repeat;
|
||||
padding-top: 96px;
|
||||
}
|
||||
|
||||
#auth-text input {
|
||||
color: rgb(0, 0, 0);
|
||||
background-color: rgb(200, 200, 200);
|
||||
|
BIN
web/img/video-icon.png
Normal file
BIN
web/img/video-icon.png
Normal file
Binary file not shown.
After Width: | Height: | Size: 1.1 KiB |
BIN
web/img/video-unsupported.png
Normal file
BIN
web/img/video-unsupported.png
Normal file
Binary file not shown.
After Width: | Height: | Size: 5.0 KiB |
@ -21,6 +21,10 @@
|
||||
<div id="metadata"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="video-box">
|
||||
<div id="video-box-inner">
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<a id="back">‹</a>
|
||||
<a id="next">›</a>
|
||||
|
1393
web/js/005-modernizr.js
Normal file
1393
web/js/005-modernizr.js
Normal file
File diff suppressed because it is too large
Load Diff
@ -147,6 +147,9 @@
|
||||
hash = hash.substring(5);
|
||||
return "cache/" + hash;
|
||||
};
|
||||
PhotoFloat.videoPath = function(album, video) {
|
||||
return "cache/" + PhotoFloat.cachePath(PhotoFloat.photoHash(album, video) + ".webm");
|
||||
};
|
||||
PhotoFloat.originalPhotoPath = function(album, photo) {
|
||||
return "albums/" + album.path + "/" + photo.name;
|
||||
};
|
||||
@ -179,6 +182,7 @@
|
||||
PhotoFloat.prototype.photoHash = PhotoFloat.photoHash;
|
||||
PhotoFloat.prototype.albumHash = PhotoFloat.albumHash;
|
||||
PhotoFloat.prototype.photoPath = PhotoFloat.photoPath;
|
||||
PhotoFloat.prototype.videoPath = PhotoFloat.videoPath;
|
||||
PhotoFloat.prototype.originalPhotoPath = PhotoFloat.originalPhotoPath;
|
||||
PhotoFloat.prototype.trimExtension = PhotoFloat.trimExtension;
|
||||
PhotoFloat.prototype.cleanHash = PhotoFloat.cleanHash;
|
||||
|
@ -98,6 +98,8 @@ $(document).ready(function() {
|
||||
for (i = 0; i < currentAlbum.photos.length; ++i) {
|
||||
link = $("<a href=\"#!/" + photoFloat.photoHash(currentAlbum, currentAlbum.photos[i]) + "\"></a>");
|
||||
image = $("<img title=\"" + photoFloat.trimExtension(currentAlbum.photos[i].name) + "\" alt=\"" + photoFloat.trimExtension(currentAlbum.photos[i].name) + "\" src=\"" + photoFloat.photoPath(currentAlbum, currentAlbum.photos[i], 150, true) + "\" height=\"150\" width=\"150\" />");
|
||||
if (currentAlbum.photos[i].mediaType == "video")
|
||||
image.css("background-image", "url(" + image.attr("src") + ")").attr("src", "img/video-icon.png");
|
||||
image.get(0).photo = currentAlbum.photos[i];
|
||||
link.append(image);
|
||||
photos.push(link);
|
||||
@ -145,6 +147,8 @@ $(document).ready(function() {
|
||||
$("#album-view").removeClass("photo-view-container");
|
||||
$("#subalbums").show();
|
||||
$("#photo-view").hide();
|
||||
$("#video-box-inner").empty();
|
||||
$("#video-box").hide();
|
||||
}
|
||||
setTimeout(scrollToThumb, 1);
|
||||
}
|
||||
@ -164,26 +168,70 @@ $(document).ready(function() {
|
||||
else if (image.css("height") !== "100%")
|
||||
image.css("height", "100%").css("width", "auto").css("position", "").css("bottom", "");
|
||||
}
|
||||
function scaleVideo() {
|
||||
var video, container;
|
||||
video = $("#video");
|
||||
if (video.get(0) === this)
|
||||
$(window).bind("resize", scaleVideo);
|
||||
container = $("#photo-view");
|
||||
if (video.attr("width") > container.width() && container.height() * video.attr("ratio") > container.width())
|
||||
video.css("width", container.width()).css("height", container.width() / video.attr("ratio")).parent().css("height", container.width() / video.attr("ratio")).css("margin-top", - container.width() / video.attr("ratio") / 2).css("top", "50%");
|
||||
else if (video.attr("height") > container.height() && container.height() * video.attr("ratio") < container.width())
|
||||
video.css("height", container.height()).css("width", container.height() * video.attr("ratio")).parent().css("height", "100%").css("margin-top", "0").css("top", "0");
|
||||
else
|
||||
video.css("height", "").css("width", "").parent().css("height", video.attr("height")).css("margin-top", - video.attr("height") / 2).css("top", "50%");
|
||||
}
|
||||
function showPhoto() {
|
||||
var width, height, photoSrc, previousPhoto, nextPhoto, nextLink, text;
|
||||
width = currentPhoto.size[0];
|
||||
height = currentPhoto.size[1];
|
||||
if (width > height) {
|
||||
height = height / width * maxSize;
|
||||
width = maxSize;
|
||||
} else {
|
||||
width = width / height * maxSize;
|
||||
height = maxSize;
|
||||
var width, height, photoSrc, videoSrc, previousPhoto, nextPhoto, nextLink, text;
|
||||
width = currentPhoto.size[0];
|
||||
height = currentPhoto.size[1];
|
||||
|
||||
if (currentPhoto.mediaType == "video") {
|
||||
if (!Modernizr.video) {
|
||||
$('<div id="video-unsupported"><p>Sorry, your browser doesn\'t support the HTML5 <video> element!</p><p>Here\'s a <a href="http://caniuse.com/video">list of which browsers do</a>.</p></div>').appendTo('#video-box-inner');
|
||||
}
|
||||
else if (!Modernizr.video.webm) {
|
||||
$('<div id="video-unsupported"><p>Sorry, your browser doesn\'t support the WebM video format!</p></div>').appendTo('#video-box-inner');
|
||||
}
|
||||
else {
|
||||
$(window).unbind("resize", scaleVideo);
|
||||
$(window).unbind("resize", scaleImage);
|
||||
videoSrc = photoFloat.videoPath(currentAlbum, currentPhoto);
|
||||
$('<video/>', { id: 'video', controls: true }).appendTo('#video-box-inner')
|
||||
.attr("width", width).attr("height", height).attr("ratio", currentPhoto.size[0] / currentPhoto.size[1])
|
||||
.attr("src", videoSrc)
|
||||
.attr("alt", currentPhoto.name)
|
||||
.on('loadstart', scaleVideo);
|
||||
}
|
||||
$("head").append("<link rel=\"video_src\" href=\"" + videoSrc + "\" />");
|
||||
$("#video-box-inner").css('height', height + 'px').css('margin-top', - height / 2);
|
||||
$("#photo-box").hide();
|
||||
$("#video-box").show();
|
||||
}
|
||||
else {
|
||||
width = currentPhoto.size[0];
|
||||
height = currentPhoto.size[1];
|
||||
if (width > height) {
|
||||
height = height / width * maxSize;
|
||||
width = maxSize;
|
||||
} else {
|
||||
width = width / height * maxSize;
|
||||
height = maxSize;
|
||||
}
|
||||
$(window).unbind("resize", scaleVideo);
|
||||
$(window).unbind("resize", scaleImage);
|
||||
photoSrc = photoFloat.photoPath(currentAlbum, currentPhoto, maxSize, false);
|
||||
$("#photo")
|
||||
.attr("width", width).attr("height", height).attr("ratio", currentPhoto.size[0] / currentPhoto.size[1])
|
||||
.attr("src", photoSrc)
|
||||
.attr("alt", currentPhoto.name)
|
||||
.attr("title", currentPhoto.date)
|
||||
.load(scaleImage);
|
||||
$("head").append("<link rel=\"image_src\" href=\"" + photoSrc + "\" />");
|
||||
$("#video-box-inner").empty();
|
||||
$("#video-box").hide();
|
||||
$("#photo-box").show();
|
||||
}
|
||||
$(window).unbind("resize", scaleImage);
|
||||
photoSrc = photoFloat.photoPath(currentAlbum, currentPhoto, maxSize, false);
|
||||
$("#photo")
|
||||
.attr("width", width).attr("height", height).attr("ratio", currentPhoto.size[0] / currentPhoto.size[1])
|
||||
.attr("src", photoSrc)
|
||||
.attr("alt", currentPhoto.name)
|
||||
.attr("title", currentPhoto.date)
|
||||
.load(scaleImage);
|
||||
$("head").append("<link rel=\"image_src\" href=\"" + photoSrc + "\" />");
|
||||
|
||||
previousPhoto = currentAlbum.photos[
|
||||
(currentPhotoIndex - 1 < 0) ? (currentAlbum.photos.length - 1) : (currentPhotoIndex - 1)
|
||||
@ -267,6 +315,7 @@ $(document).ready(function() {
|
||||
$(window).hashchange(function() {
|
||||
$("#loading").show();
|
||||
$("link[rel=image_src]").remove();
|
||||
$("link[rel=video_src]").remove();
|
||||
if (location.search.indexOf("?_escaped_fragment_=") === 0) {
|
||||
location.hash = location.search.substring(20);
|
||||
location.search = "";
|
||||
|
Loading…
Reference in New Issue
Block a user