video_captioning_from_human_tracks_mapper#

Generate per-person captions for each tracked human in a video using a video-to-text model (VideoLLaMA3). This operator crops video segments around each tracked person and generates a description of the person's appearance, as well as determining whether the person is a child. It must be operated after video_human_tracks_extraction_mapper.

使用视频转文本模型（VideoLLaMA3）为视频中每个跟踪的人物生成个体描述。此算子根据每个跟踪人物裁剪视频片段，生成人物外观描述，并判断该人物是否为儿童。它必须在 video_human_tracks_extraction_mapper 之后运行。

Type 算子类型: mapper

Tags 标签: gpu, hf, video

🔧 Parameter Configuration 参数配置#

name 参数名	type 类型	default 默认值	desc 说明
`human_track_query`	<class 'str'>	`'Descibe the person's apperance. Less than 80 words. '`	prompt for describing the person's appearance.
`trust_remote_code`	<class 'bool'>	`False`	whether to trust the remote code of HF models.
`video_describe_model_path`	<class 'str'>	`'DAMO-NLP-SG/VideoLLaMA3-7B'`	path to the VideoLLaMA3 model.
`temp_video_path`	<class 'str'>	`None`	path for temporary video storage.
`tag_field_name_track_video_caption`	<class 'str'>	`'track_video_caption'`	field name to store the track captions.
`tag_field_name_video_track_is_child`	<class 'str'>	`'video_track_is_child'`	field name to store the child flag.
`args`		`''`	extra args
`kwargs`		`''`	extra args