Reputation: 186
Code:
import cv2
import numpy as np
import sys
import webcolors
import time
cam=cv2.VideoCapture('video2.avi')
_, fo = cam.read()
framei = cv2.cvtColor(fo, cv2.COLOR_BGR2GRAY)
bg_avg = np.float32(framei)
video_width = int(cam.get(3))
video_height = int(cam.get(4))
fr = int(cam.get(5))
print("frame rate of stored video:::",fr)
while(cam.isOpened):
f,img=cam.read()
start_fps=time.time()
.
.
.
k = cv2.waitKey(20)
if(k == 27):
break
endtime_fps=time.time()
diff_fps=endtime_fps-start_fps
print("Frame rate::",1/diff_fps)
With every iteration, this prints a different frame rate like: 31.249936670193268, 76.92300920661702, 142.85290010558222, 166.67212398172063, 200.00495922941204, 38.46150460330851... etc with some values being repeated a few times. Now the value of frame rate for the stored video is 25. So what is the actual frame rate at which it is being read?
Upvotes: 6
Views: 16583
Reputation: 2244
You can get FPS(Frames Per Second) using the code below:
import cv2
cam = cv2.VideoCapture('video2.avi')
fps = cam.get(cv2.CAP_PROP_FPS)
Upvotes: 18
Reputation: 13216
I'm not certain, but I think this might come down to your timing method. I don't think Python's time.time()
method guarantees enough precision to provide the real-time profiling information you desire.
Upvotes: 2