HELLO

HELLO

 from ultralytics import YOLO

import cv2

# Load YOLO model (pre-trained)

model = YOLO("yolov8n.pt")  # lightweight model

# Read image

image = cv2.imread("images.jpg")

# Run detection

results = model(image)

car_count = 0

# Loop through detections

for r in results:

    for box in r.boxes:

        cls = int(box.cls[0])

        label = model.names[cls]

        # Count only cars

        if label == "car":

            car_count += 1

            # Draw bounding box

            x1, y1, x2, y2 = map(int, box.xyxy[0])

            cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)

            cv2.putText(image, "Car", (x1, y1-10),

                        cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,255,0), 2)

# Show result

print("Total Cars:", car_count)

cv2.imshow("Detected Cars", image)

cv2.waitKey(0)

cv2.destroyAllWindows()

RUN CODE