YOLO_Video.py

from ultralytics import YOLO
import cv2
import math

def video_detection(path_x):
    video_capture = path_x
    #Create a Webcam Object
    cap=cv2.VideoCapture(video_capture)

    model=YOLO("models/helmet.pt")
    while True:
        _, img = cap.read()
        results=model(img,stream=True)
        for r in results:
            boxes=r.boxes
            for box in boxes:
                x1,y1,x2,y2=box.xyxy[0]
                x1,y1,x2,y2=int(x1), int(y1), int(x2), int(y2)
                print(x1,y1,x2,y2)
                conf=math.ceil((box.conf[0]*100))/100
                cls=int(box.cls[0])
                class_name=model.names[cls]
                label=f'{class_name}{conf}'
                t_size = cv2.getTextSize(label, 0, fontScale=1, thickness=2)[0]
                print(t_size)
                c2 = x1 + t_size[0], y1 - t_size[1] - 3
                if class_name == 'helmet':
                    color=(0, 255, 0)
                else:
                    color = (0, 0, 255)
                if conf>0.3:
                    cv2.rectangle(img, (x1,y1), (x2,y2), color,3)
                    cv2.rectangle(img, (x1,y1), c2, color, -1, cv2.LINE_AA)  # filled
                    cv2.putText(img, label, (x1,y1-2),0, 1,[255,255,255], thickness=1,lineType=cv2.LINE_AA)

        yield img

cv2.destroyAllWindows()