July 17, 2023 - video_capture = cv2.VideoCapture('C:\\Users\\AShetty12\\Downloads\\raw_videos\\MOV_2564.mp4') print(video_capture.isOpened()) # returns True print(video_capture.get(cv2.CAP_PROP_FPS)) # returns 30 total_frames = int(video_capture.get(cv2.CAP_PROP_FRAME_COUNT)) print(total_frames) # returns 21784 print(video_capture.set(cv2.CAP_PROP_POS_AVI_RATIO, 1)) # returns True _ = video_capture.read() time_msec = video_capture.get(cv2.CAP_PROP_POS_MSEC) print(time_msec/(1000*total_frames)) # returns 0.03335926980046518 video_capture.get(cv2.CAP_PROP_POS_FRAMES) # returns 21785.0

Tiny library to get fps from cv2 video source - Python 3 - fps.py

def get_frame_rate(video): # Find OpenCV version · (major_ver, minor_ver, subminor_ver) = (cv2.__version__).split('.') · if int(major_ver) < 3 : fps = video.get(cv2.cv.CV_CAP_PROP_FPS) else: fps = video.get(cv2.CAP_PROP_FPS) print "Frames per second using video.get(cv2.CAP_PROP_FPS) : {0}".format(fps) ·

January 18, 2020 - Hi @ZachPenn @phildong, I would like to suggest a minor change to make things easier for users. Instead of requesting fps from user, use capture.get(cv2.CAP_PROP_FPS) to get fps directly from video capture file and add it to video_dict['...

Simple Webcam Video Streaming with FPS count using OpenCV Python 3 - opencv_webcam.py

Detect video fps with OpenCV - Python · Raw · get_fps.py · This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.

February 3, 2018 - # grab a pointer to the video stream and initialize the FPS counter · print("[INFO] sampling frames from webcam...") stream = cv2.VideoCapture(0) fps = FPS().start() · # loop over some frames · while fps._numFrames < args["num_frames"]: ...

vidcap = cv2.VideoCapture('filename.mp4') def getFrame(sec): vidcap.set(cv2.CAP_PROP_POS_MSEC,sec*1000) hasFrames,image = vidcap.read() if hasFrames: cv2.imwrite("image"+str(count)+".jpg", image) # save frame as JPG file · return hasFrames ·

July 31, 2026 - # Let's see for ourselves. if int(major_ver) < 3 : fps = video.get(cv2.CAP_PROP_FPS) print("Frames per second using video.get(cv2.CAP_PROP_FPS): {0}".format(fps)) else : fps = video.get(cv2.CAP_PROP_FPS) print("Frames per second using video.get(cv2.CAP_PROP_FPS) : {0}".format(fps)) # Number of frames to capture num_frames = 120; print("Capturing {0} frames".format(num_frames)) # Start time start = time.perf_counter() # Grab a few frames for i in range(0, num_frames) : ret, frame = video.read() # End time end = time.perf_counter() # Time elapsed seconds = end - start print ("Time taken : {0} seconds".format(seconds)) # Calculate frames per second fps = num_frames / seconds print("Estimated frames per second : {0}".format(fps)) # Release video video.release()

Get FPS of a video using Python, OpenCV and Ffmpeg. - get_video_fps.py

fps method return the fps of the camera by taking total number of frames read and dividing it by number of elapsed seconds. WebCamVideoStream class that will access our webcam in a threaded fashion · # import the necessary packages from threading ...

January 4, 2023 - import numpy as np import cv2 import time # creating the videocapture object # and reading from the input file # Change it to 0 if reading from webcam cap = cv2.VideoCapture('vid.mp4') # 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 # Our operations on the frame come here gray = frame # resizing the frame size according to

April 28, 2025 - cap = cv2.VideoCapture('path_of_input_video_file') ... The get() function is used to retrieve the current frames per second (FPS) of the video.

October 4, 2024 - from datetime import datetime,timedelta import cv2 cap = cv2.VideoCapture(0) cap.grab() # Remove this line to get correct real FPS cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640) cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480) cap.set(cv2.CAP_PROP_BUFFERSIZE, 1) cap.set(cv2.CAP_PROP_FPS, 2) # Set low FPS print("Real fps: ", cap.get(cv2.CAP_PROP_FPS)) for i in range(100): cv2.waitKey(1) cap.grab() # Grab a frame now = datetime.now() print(f'{now.strftime("%M:%S")} ') Typical output: Click to expand ·

November 4, 2021 - cv::VideoCapture cap; cap.open(std::string(argv[1])); if (!cap.isOpened()) { std::cout << "Cannot open the video file" << std::endl; return -1; } const double FPS = cap.get(cv::CAP_PROP_FPS); std::cout << "FPS: " << FPS << std::endl;

One of the features we can get is the frames per second (FPS) there are in a video. Frames are the images that make up a video. A video is a series of images shown in sequence. The frames per second tells us how many images there are per second of video. To find the frames per second of a video using OpenCV, we use the following statement, cv2.CAP_PROP_FPS

while True: cap.set(cv2.CAP_PROP_FPS,10) ret,frame = cap.read() print(cap.get(cv2.CAP_PROP_FPS))

from cv2_tools.Managment import ManagerCV2 import cv2 # keystroke=27 is the button `esc` manager_cv2 = ManagerCV2(cv2.VideoCapture(0), is_stream=True, keystroke=27, wait_key=1, fps_limit=60) # This for will manage file descriptor for you for frame in manager_cv2: cv2.imshow('Example easy manager', frame) cv2.destroyAllWindows() print(manager_cv2.get_fps())