Camel.toolkits.video analysis toolkit

​

VideoAnalysisToolkit

class VideoAnalysisToolkit(BaseToolkit):

• working_directory (Optional[str], optional): The directory where the video will be downloaded to. If not provided, video will be stored in a temporary directory and will be cleaned up after use. (default: :obj:None)
• model (Optional[BaseModelBackend], optional): The model to use for visual analysis. (default: :obj:None)
• use_audio_transcription (bool, optional): Whether to enable audio transcription using OpenAI’s audio models. Requires a valid OpenAI API key. When disabled, video analysis will be based solely on visual content. (default: :obj:False)
• use_ocr (bool, optional): Whether to enable OCR for extracting text from video frames. (default: :obj:False)
• frame_interval (float, optional): Interval in seconds between frames to extract from the video. (default: :obj:4.0)
• output_language (str, optional): The language for output responses. (default: :obj:"English")
• cookies_path (Optional[str]): The path to the cookies file for the video service in Netscape format. (default: :obj:None)
• timeout (Optional[float]): The timeout value for API requests in seconds. If None, no timeout is applied. (default: :obj:None)

​

init

def __init__(
    self,
    working_directory: Optional[str] = None,
    model: Optional[BaseModelBackend] = None,
    use_audio_transcription: bool = False,
    use_ocr: bool = False,
    frame_interval: float = 4.0,
    output_language: str = 'English',
    cookies_path: Optional[str] = None,
    timeout: Optional[float] = None
):

​

del

def __del__(self):

​

_extract_text_from_frame

def _extract_text_from_frame(self, frame: Image.Image):

• frame (Image.Image): PIL image frame to process.

​

_process_extracted_text

def _process_extracted_text(self, text: str):

• text (str): Raw extracted OCR text.

​

_extract_audio_from_video

def _extract_audio_from_video(self, video_path: str, output_format: str = 'mp3'):

• video_path (str): The path to the video file.
• output_format (str): The format of the audio file to be saved. (default: :obj:"mp3")

​

_transcribe_audio

def _transcribe_audio(self, audio_path: str):

​

_extract_keyframes

def _extract_keyframes(self, video_path: str):

• video_path (str): Path to the video file.

​

_normalize_frames

def _normalize_frames(self, frames: List[Image.Image], target_width: int = 512):

• frames (List[Image.Image]): List of frames to normalize.
• target_width (int): Target width for normalized frames.

​

ask_question_about_video

def ask_question_about_video(self, video_path: str, question: str):

• video_path (str): The path to the video file. It can be a local file or a URL (such as Youtube website).
• question (str): The question to ask about the video.

​

get_tools

def get_tools(self):