问如何将视频转换为numpy数组？

EN

import cv2
import numpy as np

cap = cv2.VideoCapture('test.mp4')
frameCount = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
frameWidth = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frameHeight = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

buf = np.empty((frameCount, frameHeight, frameWidth, 3), np.dtype('uint8'))

fc = 0
ret = True

while (fc < frameCount  and ret):
    ret, buf[fc] = cap.read()
    fc += 1

cap.release()

cv2.namedWindow('frame 10')
cv2.imshow('frame 10', buf[9])

cv2.waitKey(0)

import skvideo.io  
videodata = skvideo.io.vread("video_file_name")  
print(videodata.shape)

import cv2
import numpy as np
from PIL import Image, ImageOps    


def screenshot():
    global cam
    cv2.imwrite('screenshot.png', cam.read()[1])


if __name__ == '__main__':
    np.set_printoptions(suppress=True)

    cam = cv2.VideoCapture(0) # You can replace it with your video path
    
    while True:
        ret, img = cam.read()

        cv2.imshow('My Camera', img)

        ch = cv2.waitKey(5)
        if ch == 27:
            break

        screenshot()

        data = np.ndarray(shape=(1, 224, 224, 3), dtype=np.float32)

        image = Image.open('screenshot.png')

        size = (224, 224) # Put your suitable size
        image = ImageOps.fit(image, size, Image.ANTIALIAS)

        image_array = np.asarray(image) # Here, an image -> numpy array
        print(image_array)

    cv2.destroyAllWindows()