frames.py

import os

from ultralytics import YOLO
import cv2


VIDEOS_DIR = os.path.join('.', 'videos')

# input videp path (Kindly Enter Your Own path)
video_path = input("Kindly Enter the Video path")

# output video path
video_path_out = '{}_out.mp4'.format(video_path)

cap = cv2.VideoCapture(video_path)
ret, video_frame = cap.read()
H, W, _ = video_frame.shape
out = cv2.VideoWriter(video_path_out, cv2.VideoWriter_fourcc(*'MP4V'), int(cap.get(cv2.CAP_PROP_FPS)), (W, H))


# Load a model
model = YOLO('Model2(Large).pt')  # load a custom model

threshold = 0.35

while ret:

    results = model(video_frame)[0]

    for result in results.boxes.data.tolist():
        x1, y1, x2, y2, score, class_id = result

        if score > threshold:
            cv2.rectangle(video_frame, (int(x1), int(y1)), (int(x2), int(y2)), (0, 255, 0), 4)
            cv2.putText(video_frame, results.names[int(class_id)].upper(), (int(x1), int(y1 - 10)),
                        cv2.FONT_HERSHEY_SIMPLEX, 1.3, (0, 255, 0), 3, cv2.LINE_AA)

    out.write(video_frame)
    ret, video_frame = cap.read()

cap.release()
out.release()
cv2.destroyAllWindows()