single_convert.py

import argparse
import os
import cv2

# Necessary Arguments
ap = argparse.ArgumentParser()
ap.add_argument(
    "-i", "--input", required=True, type=str, help="Input for the video files"
)
ap.add_argument(
    "-o",
    "--output",
    required=True,
    type=str,
    help="Output directory for the images extracted",
)
ap.add_argument(
    "-fps",
    "--framesps",
    default=int(cv2.CAP_PROP_FPS),
    help="Extract at the desired Frame rate",
)
ap.add_argument(
    "-frate",
    "--frate",
    default=0.1,
    type=float,
    help="To determine the amount of frames to be extracted per second",
)
args = vars(ap.parse_args())

video_path = args["input"]
save_path = args["output"]
skip_frames = args["framesps"]
frameRate = args["frate"]


def length_of_video(video_p):
    """
    Gets the input length of video and returns it.
    """
    cap = cv2.VideoCapture(video_p)
    length = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
    return length


def extracting_frames(video_pa, op_path, skip_frame):
    """
    Extracting function for the images
    """
    length = length_of_video(video_pa)
    if length == 0:
        print("Length is 0,Video not Available")
        return 0

    cap = cv2.VideoCapture(video_pa)
    count = 0

    ret, frame = cap.read()
    test_file_path = op_path + "image" + str(count) + ".png"
    cv2.imwrite(test_file_path, frame)

    if os.path.isfile(test_file_path):
        print("Saving Test Frame successful")
        count = 1
        while ret:
            ret, frame = cap.read()
            if ret and count % int(skip_frame / (frameRate)) == 0:
                # naming
                name = op_path + "image" + str(count) + ".png"
                cv2.imwrite(name, frame)
                print(name)
                count += 1
            else:
                count += 1
    else:
        print("Problem saving the Test Frame.")
        return 0
    cap.release()


extracting_frames(video_path, save_path, skip_frames)