Simplified Vace, added auto open pose and depth extrators
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@@ -180,26 +180,17 @@ class VaceVideoProcessor(object):
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), axis=1).tolist()
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return frame_ids, (x1, x2, y1, y2), (oh, ow), target_fps
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def _get_frameid_bbox_adjust_last(self, fps, frame_timestamps, h, w, crop_box, rng, max_frames= 0):
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import math
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target_fps = self.max_fps
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video_frames_count = len(frame_timestamps)
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video_frame_duration = 1 /fps
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target_frame_duration = 1 / target_fps
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cur_time = 0
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target_time = 0
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frame_no = 0
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frame_ids =[]
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for i in range(max_frames):
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add_frames_count = math.ceil( (target_time -cur_time) / video_frame_duration )
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frame_no += add_frames_count
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frame_ids.append(frame_no)
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cur_time += add_frames_count * video_frame_duration
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target_time += target_frame_duration
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if frame_no >= video_frames_count -1:
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break
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frame_ids = frame_ids[:video_frames_count]
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def _get_frameid_bbox_adjust_last(self, fps, video_frames_count, h, w, crop_box, rng, max_frames= 0):
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from wan.utils.utils import resample
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target_fps = self.max_fps
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# video_frames_count = len(frame_timestamps)
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frame_ids= resample(fps, video_frames_count, max_frames, target_fps)
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x1, x2, y1, y2 = [0, w, 0, h] if crop_box is None else crop_box
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h, w = y2 - y1, x2 - x1
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ratio = h / w
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@@ -235,11 +226,11 @@ class VaceVideoProcessor(object):
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return frame_ids, (x1, x2, y1, y2), (oh, ow), target_fps
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def _get_frameid_bbox(self, fps, frame_timestamps, h, w, crop_box, rng, max_frames= 0):
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def _get_frameid_bbox(self, fps, video_frames_count, h, w, crop_box, rng, max_frames= 0):
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if self.keep_last:
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return self._get_frameid_bbox_adjust_last(fps, frame_timestamps, h, w, crop_box, rng, max_frames= max_frames)
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return self._get_frameid_bbox_adjust_last(fps, video_frames_count, h, w, crop_box, rng, max_frames= max_frames)
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else:
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return self._get_frameid_bbox_default(fps, frame_timestamps, h, w, crop_box, rng, max_frames= max_frames)
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return self._get_frameid_bbox_default(fps, video_frames_count, h, w, crop_box, rng, max_frames= max_frames)
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def load_video(self, data_key, crop_box=None, seed=2024, **kwargs):
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return self.load_video_batch(data_key, crop_box=crop_box, seed=seed, **kwargs)
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@@ -253,23 +244,37 @@ class VaceVideoProcessor(object):
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import decord
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decord.bridge.set_bridge('torch')
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readers = []
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src_video = None
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for data_k in data_key_batch:
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reader = decord.VideoReader(data_k)
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readers.append(reader)
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if torch.is_tensor(data_k):
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src_video = data_k
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else:
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reader = decord.VideoReader(data_k)
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readers.append(reader)
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fps = readers[0].get_avg_fps()
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length = min([len(r) for r in readers])
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frame_timestamps = [readers[0].get_frame_timestamp(i) for i in range(length)]
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frame_timestamps = np.array(frame_timestamps, dtype=np.float32)
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# # frame_timestamps = frame_timestamps[ :max_frames]
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# if trim_video > 0:
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# frame_timestamps = frame_timestamps[ :trim_video]
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if src_video != None:
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fps = 16
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length = src_video.shape[1]
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if len(readers) > 0:
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min_readers = min([len(r) for r in readers])
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length = min(length, min_readers )
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else:
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fps = readers[0].get_avg_fps()
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length = min([len(r) for r in readers])
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# frame_timestamps = [readers[0].get_frame_timestamp(i) for i in range(length)]
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# frame_timestamps = np.array(frame_timestamps, dtype=np.float32)
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max_frames = min(max_frames, trim_video) if trim_video > 0 else max_frames
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h, w = readers[0].next().shape[:2]
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frame_ids, (x1, x2, y1, y2), (oh, ow), fps = self._get_frameid_bbox(fps, frame_timestamps, h, w, crop_box, rng, max_frames=max_frames)
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if src_video != None:
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src_video = src_video[:max_frames]
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h, w = src_video.shape[1:3]
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else:
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h, w = readers[0].next().shape[:2]
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frame_ids, (x1, x2, y1, y2), (oh, ow), fps = self._get_frameid_bbox(fps, length, h, w, crop_box, rng, max_frames=max_frames)
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# preprocess video
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videos = [reader.get_batch(frame_ids)[:, y1:y2, x1:x2, :] for reader in readers]
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if src_video != None:
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videos = [src_video] + videos
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videos = [self._video_preprocess(video, oh, ow) for video in videos]
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return *videos, frame_ids, (oh, ow), fps
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# return videos if len(videos) > 1 else videos[0]
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