video_captioning_face_attribute_emotion_mapper#

Generate facial attribute and emotion descriptions for each person tracked in a video using a video-to-text model (VideoLLaMA3). This operator crops face-centric video segments and generates detailed descriptions of facial expressions and emotions. 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面部属性和情感描述。此算子裁剪以面部为中心的视频片段，并生成面部表情和情感的详细描述。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

face_track_query

<class ‘str’>

'Please describe the person's facial expression, tell me the person's emotion through the video, ...'

prompt for describing facial attributes and emotions.

trust_remote_code

<class ‘bool’>

False

whether to trust the remote code of HF models.

cropping_face_video_temp_path

<class ‘str’>

'./temp_video_path'

path for temporary face-cropped video storage.

video_describe_model_path

<class ‘str’>

'DAMO-NLP-SG/VideoLLaMA3-7B'

path to the VideoLLaMA3 model.

video_facetrack_attribute_emotion

<class ‘str’>

'video_facetrack_attribute_emotion'

field name to store the face attribute emotion results.

args

''

extra args

kwargs

''

extra args