Dikshant Shah 808Code

## video_rfdetr_inference.py
# Install necessary packages:
# pip install inference
# pip install supervision

from inference import InferencePipeline
import supervision as sv


import cv2
import numpy as np

## image_rfdetr_inference.py
# Install necessary packages:
# pip install inference
# pip install supervision

from inference import get_model

model = get_model("rfdetr-base")

from PIL import Image
image = Image.open("test_image.jpg")

## ms_coco_classnames.txt
{0: u'__background__',
 1: u'person',
 2: u'bicycle',
 3: u'car',
 4: u'motorcycle',
 5: u'airplane',
 6: u'bus',
 7: u'train',
 8: u'truck',
 9: u'boat',

## async_to_sync.py
import asyncio

# Example asynchronous generator with parameters
async def example_async_gen(start, end, delay=1):
    """
    Asynchronous generator that yields numbers from start to end with a delay.

    :param start: Starting number (inclusive).
    :param end: Ending number (exclusive).
    :param delay: Delay in seconds between yields.
	# Install necessary packages:
	# pip install inference
	# pip install supervision

	from inference import InferencePipeline
	import supervision as sv


	import cv2
	import numpy as np
	{0: u'__background__',
	1: u'person',
	2: u'bicycle',
	3: u'car',
	4: u'motorcycle',
	5: u'airplane',
	6: u'bus',
	7: u'train',
	8: u'truck',
	9: u'boat',
	import asyncio

	# Example asynchronous generator with parameters
	async def example_async_gen(start, end, delay=1):
	"""
	Asynchronous generator that yields numbers from start to end with a delay.

	:param start: Starting number (inclusive).
	:param end: Ending number (exclusive).
	:param delay: Delay in seconds between yields.