fix timelines for items with many parts
- use durations from streams not from timelines - don't accumulate timeline drift
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2 changed files with 37 additions and 24 deletions
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@ -1364,8 +1364,12 @@ class Item(models.Model):
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def make_timeline(self):
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def make_timeline(self):
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streams = self.streams()
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streams = self.streams()
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if streams.count() > 1:
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if streams.count() > 1:
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timelines = [s.timeline_prefix for s in self.streams()]
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timelines = []
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join_tiles(timelines, self.timeline_prefix)
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durations = []
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for s in self.streams():
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timelines.append(s.timeline_prefix)
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durations.append(s.duration)
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join_tiles(timelines, durations, self.timeline_prefix)
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else:
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else:
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#remove joined timeline if it was created at some point
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#remove joined timeline if it was created at some point
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for f in glob(os.path.join(settings.MEDIA_ROOT, self.path(), 'timeline*.jpg')):
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for f in glob(os.path.join(settings.MEDIA_ROOT, self.path(), 'timeline*.jpg')):
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@ -10,7 +10,7 @@ import Image
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from ox.utils import json
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from ox.utils import json
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def join_tiles(source_paths, target_path):
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def join_tiles(source_paths, durations, target_path):
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'''
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'''
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This is an implementation of a join_tiles function for new-style timelines.
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This is an implementation of a join_tiles function for new-style timelines.
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Timelines of files will be read from source_paths, the timeline of the item will
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Timelines of files will be read from source_paths, the timeline of the item will
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@ -104,23 +104,30 @@ def join_tiles(source_paths, target_path):
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modes = ['antialias', 'slitscan', 'keyframes', 'keyframeswide', 'audio']
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modes = ['antialias', 'slitscan', 'keyframes', 'keyframeswide', 'audio']
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source_files = {}
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source_files = {}
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for mode in modes:
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for mode in modes:
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source_files[mode] = []
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source_files[mode] = {}
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# read files
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# read files
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durations = [0] * len(source_paths)
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frame_n = 0
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frame_n = 0
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offset = 0
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for i, path in enumerate(source_paths):
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for i, path in enumerate(source_paths):
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file_info = map(get_file_info, os.listdir(path))
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file_info = map(get_file_info, os.listdir(path))
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file_info = filter(lambda x: x != None, file_info)
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file_info = filter(lambda x: x != None, file_info)
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files = {}
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for mode in modes:
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files[mode] = []
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for info in sorted(file_info, key=lambda x: x['index']):
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for info in sorted(file_info, key=lambda x: x['index']):
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mode = info['mode']
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mode = info['mode']
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source_files[mode].append(path + info['file'])
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files[mode].append(path + info['file'])
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if i:
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offset = int(sum(durations[:i]) * 25)
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for mode in files:
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source_files[mode][offset] = files[mode]
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modes = [m for m in modes if source_files[m]]
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modes = [m for m in modes if source_files[m]]
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for i, path in enumerate(source_paths):
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offsets = sorted(source_files[modes[0]])
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for f in source_files[modes[0]]:
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last_offset = max(offsets)
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if f.startswith(path):
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frame_n = last_offset
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for f in source_files[modes[0]][last_offset]:
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width = Image.open(f).size[0]
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width = Image.open(f).size[0]
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durations[i] += width / fps
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frame_n += width
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frame_n += width
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large_tile_n = int(math.ceil(frame_n / large_tile_w))
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large_tile_n = int(math.ceil(frame_n / large_tile_w))
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large_tile_last_w = frame_n % large_tile_w or 60
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large_tile_last_w = frame_n % large_tile_w or 60
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@ -149,7 +156,9 @@ def join_tiles(source_paths, target_path):
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data['target_images'] = {'large': None, 'small': None, 'full': full_tile_image}
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data['target_images'] = {'large': None, 'small': None, 'full': full_tile_image}
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for mode in modes:
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for mode in modes:
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target_w = 0
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target_w = 0
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for source_file in source_files[mode]:
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for offset in sorted(source_files[mode]):
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target_w = offset
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for source_file in source_files[mode][offset]:
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source_image = Image.open(source_file)
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source_image = Image.open(source_file)
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source_w = source_image.size[0]
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source_w = source_image.size[0]
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target_x = target_w % large_tile_w
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target_x = target_w % large_tile_w
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