66 lines
1.8 KiB
Python
66 lines
1.8 KiB
Python
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from random import randint
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import cv2
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import numpy as np
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import os
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import multiprocessing
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import time
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class Video:
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def __init__(self, x, y):
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self.x = x
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self.y = y
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def setVideo(self, path):
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self.path = path
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def start(self):
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self.run = True
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self.cap = cv2.VideoCapture(self.path)
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# Check if camera opened successfully
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if (self.cap.isOpened()== False):
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print("Error opening video file")
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totalframecount= int(self.cap.get(cv2.CAP_PROP_FRAME_COUNT))
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print("The total number of frames in this video is ", totalframecount)
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# self.cap.set(cv2.CAP_PROP_POS_FRAMES, randint(0, totalframecount* 0.9))
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# Read until video is completed
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while(self.cap.isOpened() and self.run):
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# Capture frame-by-frame
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ret, frame = self.cap.read()
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if ret == True:
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# Display the resulting frame
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cv2.namedWindow("window", cv2.WND_PROP_FULLSCREEN)
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cv2.moveWindow("window", self.x, self.y)
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cv2.setWindowProperty("window",cv2.WND_PROP_FULLSCREEN,cv2.WINDOW_FULLSCREEN)
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cv2.imshow("window", frame)
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# Break the loop
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else:
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break
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def stop(self):
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self.run = False
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self.cap.release()
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# Closes all the frames
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cv2.destroyAllWindows()
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if __name__ == "__main__":
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video = Video(0, 0)
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video.setVideo("slave/sample-mp4-file.mp4")
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x = multiprocessing.Process(target = video.start)
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x.start()
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time.sleep(1)
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x.terminate()
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time.sleep(1)
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x = multiprocessing.Process(target = video.start)
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x.start()
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time.sleep(1)
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x.terminate()
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