gistfile1.txt

import numpy as np
import cv2
import time
from ultralytics import YOLO

# creating the videocapture object
# and reading from the input file
# Change it to 0 if reading from webcam

cap = cv2.VideoCapture('/home/ubuntu/testvideo.mp4')

model = YOLO("/home/ubuntu/yolo8target_nano.pt")

# used to record the time when we processed last frame
prev_frame_time = 0

# used to record the time at which we processed current frame
new_frame_time = 0

# Reading the video file until finished
while(cap.isOpened()):

        # Capture frame-by-frame

        ret, frame = cap.read()

        # if video finished or no Video Input
        if not ret:
                break

        model.predict(source=frame,show=False)

        # time when we finish processing for this frame
        new_frame_time = time.time()

        # Calculating the fps

        # fps will be number of frame processed in given time frame
        # since their will be most of time error of 0.001 second
        # we will be subtracting it to get more accurate result
        fps = 1/(new_frame_time-prev_frame_time)
        prev_frame_time = new_frame_time

        # converting the fps into integer
        fps = int(fps)

        # converting the fps to string so that we can display it on frame
        # by using putText function
        fps = str(fps)

        print(fps)

# When everything done, release the capture
cap.release()