# Import necessary libraries
import warnings
from ultralytics import YOLO  # Ensure ultralytics is installed
from transformers import pipeline, DetrImageProcessor

# Suppress unnecessary warnings
warnings.filterwarnings("ignore", message=".*copying from a non-meta parameter.*")

# Setup the image processor
processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50", use_fast=True)

# Load the YOLO model (make sure ultralytics is installed)
model = YOLO("yolov5s.pt")  # Change to the model you are using

# Your model inference or other operations
# Example detection function
def detect_objects(image):
    # Use your model for object detection
    results = model(image)
    return results

# Call the function
image = "path_to_image.jpg"  # Replace with your image path
detection_results = detect_objects(image)
print(detection_results)