编写Python或Matlab程序，将YUV序列分解成隔行序列

以下是Python代码示例，实现将YUV序列分解成隔行序列：

import numpy as np

# 读取YUV文件
def read_YUV_file(filename, width, height):
    fp = open(filename, "rb")
    Y = np.zeros((height, width), dtype=np.uint8, order='C')
    U = np.zeros((height//2, width//2), dtype=np.uint8, order='C')
    V = np.zeros((height//2, width//2), dtype=np.uint8, order='C')
    
    for i in range(height):
        for j in range(width):
            Y[i,j] = ord(fp.read(1))
            if i%2 == 0 and j%2 == 0:
                U[i//2,j//2] = ord(fp.read(1))
            elif i%2 == 1 and j%2 == 1:
                V[i//2,j//2] = ord(fp.read(1))

    fp.close()
    return Y,U,V

# 将YUV序列分解为隔行序列
def interlace_YUV(Y,U,V):
    height, width = Y.shape
    Y_interlace = np.zeros((height//2, width), dtype=np.uint8, order='C')
    U_interlace = np.zeros((height//4, width//2), dtype=np.uint8, order='C')
    V_interlace = np.zeros((height//4, width//2), dtype=np.uint8, order='C')
    
    for i in range(height//2):
        if i%2 == 0:
            Y_interlace[i] = Y[2*i]
            U_interlace[i//2] = U[i]
            V_interlace[i//2] = V[i]
        else:
            Y_interlace[i] = Y[2*i+1]
    
    return Y_interlace, U_interlace, V_interlace

# 测试
if __name__ == "__main__":
    filename = "test.yuv"
    width = 320
    height = 240
    Y,U,V = read_YUV_file(filename, width, height)
    Y_interlace, U_interlace, V_interlace = interlace_YUV(Y,U,V)
    print(Y_interlace.shape)
    print(U_interlace.shape)
    print(V_interlace.shape)

这里假设YUV文件中Y,U,V的顺序为交错存储的，每个像素用一个字节表示。在读取YUV文件时，首先读取Y分量，然后按顺序读取U、V分量。在将YUV序列分解为隔行序列时，按照奇偶行选择需要保留的Y分量和UV分量，将它们组合成新的隔行序列。最终输出的Y_interlace、U_interlace、V_interlace分别为Y、U、V的隔行序列，可以用于后续的处理。