Convert PNG with transparency to C array

import matplotlib.pyplot as plt  # plt  Used to display pictures 
import numpy as np
import cv2
# use cv2.imread Read grayscale , It is found that the picture obtained is 3 passageway , Upon verification, it is found that ,cv2.imread() The function reads a color picture by default , Want to read the grayscale image , You need to set parameters .
#IndexError: index 3 is out of bounds for axis 0 with size 3   There is no such mistake alpha passageway   c Array is wide x tall 0xff
img = cv2.imread("d:/2626.png", cv2.IMREAD_UNCHANGED)
h, w, g = (img.shape)
print(h)
f = open("d:/2626_alpha.txt", 'wb')
a = np.array(img)
print(np.shape(img));
# print(img)
print(img[0][0][0])
f.write("{".encode())
for j in range(0, h):
    for i in range(0, w):
        b = a[j][i][3]
        print(type(hex(b)))
        str = hex(b) + ','
        f.write(str.encode())
f.write("};".encode())
f.close()

plt.imshow(img)  #  display picture 
plt.axis('on')  #  No axes are displayed 
plt.show()

import matplotlib.pyplot as plt  # plt  Used to display pictures 
import numpy as np
import cv2

# use cv2.imread Read grayscale , It is found that the picture obtained is 3 passageway , Upon verification, it is found that ,cv2.imread() The function reads a color picture by default , Want to read the grayscale image , You need to set parameters .
#flags： Sign to read in picture 
#cv2.IMREAD_COLOR： Default parameters , Read in a colour picture , Ignore alpha passageway 
#cv2.IMREAD_GRAYSCALE： Read in the grayscale image 
#cv2.IMREAD_UNCHANGED： seeing the name of a thing one thinks of its function , Read the full picture , Include alpha passageway 
def rgb888_to_rgb565(r, g, b):
    aa = ((g >> 5) & 0x07)

    bb = ((r >> 3) & 0x1F) << 3
    cc = ((b >> 3) & 0x1F) << 8
    dd = ((g >> 2) & 0x07) << 13
    print(hex(aa))
    print(hex(bb))
    print(hex(cc))
    print(hex(dd))
    c = aa | bb | cc | dd
    h = (c & 0xFF00) >> 8
    l = (c & 0x00FF)
    c = (l << 8) | (h)
    return np.uint16(c)


# opencv  Read the picture 
path = "D:\\"
img = cv2.imread("D:\\2626.png", cv2.IMREAD_UNCHANGED)
plt.imshow(img)  #  display picture 
#  Get image information 
h, w, g = (img.shape)
print(h)
f = open(path + "2626_pixel.txt", 'w')
a = np.array(img)
print(np.shape(img))
# print(img)
print(img[0][0][0])
f.write("{")
for j in range(0, h):

    for i in range(0, w):
        b = a[j][i][0]
        g = a[j][i][1]
        r = a[j][i][2]
        rgb565 = rgb888_to_rgb565(r, g, b);
        rgb565_h = rgb565 >> 8
        rgb565_l = rgb565 & 0xFF
        ap = a[j][i][3]
        print(hex(r), hex(g), hex(b), hex(rgb565))
        f.write(str(hex(rgb565)) + ",")
        #f.write(str(hex(rgb565_h)) + ",")
        #f.write(str(hex(rgb565_l)) + ",")
        #f.write(str(hex(ap)) + ",")
    # f.write(str(hex(r))+","+str(hex(g))+","+str(hex(b))+","+str(hex(ap))+",")
#    f.write('\n')
f.write("};")
f.close()

plt.axis('on')  #  No axes are displayed 
plt.show()