ninjalabo.llmcam

import textwrap
import json
import openai
from llmcam.fn_to_fc import *

source

detect_objects

 detect_objects (image_path:str, conf:float=0.25)

Run YOLO object detection on an input image.

	Type	Default	Details
image_path	str		Path/URL of image
conf	float	0.25	Confidence threshold
Returns	str		JSON format of detection results

YTLiveTools = [tool_schema(fn) for fn in (capture_youtube_live_frame_and_save, ask_gpt4v_about_image_file, detect_objects)]

def exec_func(name, tools=[], **kwargs):
    res = globals().get(name)(**kwargs)
    return res

messages = form_msgs([
    ("system", "You are a helpful system administrator. Use the supplied tools to assist the user."),
    ("user", "Hi, can you capture YouTube Live?"),
    ("user", "You can use the default link."),
    ("user", "Can you extract information from this file?"),
    ("user", "Use your new tool to detect."),
])
complete(messages, YTLiveTools, exec_func)
print_msgs(messages)