Ubuntu 16.04下用Python显示YUV格式的图片

YUV420p to RGB & view

from PIL import Image
import sys
from struct import *
import array

if len(sys.argv) != 4:
        print "***** Usage syntax Error!!!! *****\n"
        print "Usage:"
        print "python <script> <.yuv file yuv420p> <width&gt> <height> "
        sys.exit(1) # exit
else:
        pass

image_name = sys.argv[1]
width = int(sys.argv[2])
height = int(sys.argv[3])

y = array.array('B')
u = array.array('B')
v = array.array('B')

f_y = open(image_name, "rb")
f_uv = open(image_name, "rb")
f_uv.seek(width*height, 1)

image_out = Image.new("RGB", (width, height))
pix = image_out.load()

print "width=", width, "height=", height

for i in range(0, height/2):
    for j in range(0, width/2):
        u.append(ord(f_uv.read(1)));

for i in range(0, height/2):
    for j in range(0, width/2):
        v.append(ord(f_uv.read(1)));
for i in range(0,height):
    for j in range(0, width):
        y.append(ord(f_y.read(1)));
        #print "i=", i, "j=", j , (i*width), ((i*width) +j)
        #pix[j, i] = y[(i*width) +j], y[(i*width) +j], y[(i*width) +j]
        Y_val = y[(i*width)+j]
        U_val = u[((i/2)*(width/2))+(j/2)]
        V_val = v[((i/2)*(width/2))+(j/2)]
        B = 1.164 * (Y_val-16) + 2.018 * (U_val - 128)
        G = 1.164 * (Y_val-16) - 0.813 * (V_val - 128) - 0.391 * (U_val - 128)
        R = 1.164 * (Y_val-16) + 1.596*(V_val - 128)
        pix[j, i] = int(R), int(G), int(B)

######################################################
# B = 1.164(Y - 16)                   + 2.018(U - 128)
# G = 1.164(Y - 16) - 0.813(V - 128) - 0.391(U - 128)
# R = 1.164(Y - 16) + 1.596(V - 128)
######################################################

#image_out.save("out.bmp")
image_out.show()

UYVY/YUV422 to RGB and view:

from PIL import Image
import sys
from struct import *
import array
 
if len(sys.argv) != 4:
        print "***** Usage syntax Error!!!! *****\n"
        print "Usage:"
        print "python <script> <.yuv file uyvy422> <width&gt> <height> "
        sys.exit(1) # exit
else:
        pass
 
image_name = sys.argv[1]
width = int(sys.argv[2])
height = int(sys.argv[3])
 
y = array.array('B')
u = array.array('B')
v = array.array('B')
 
f_uyvy = open(image_name, "rb")
f_uv = open(image_name, "rb")
f_uv.seek(width*height, 1)
 
image_out = Image.new("RGB", (width, height))
pix = image_out.load()
 
print "width=", width, "height=", height
 
for i in range(0,height):
    for j in range(0, width/2):
        u  = ord(f_uyvy.read(1));
        y1 = ord(f_uyvy.read(1));
        v  = ord(f_uyvy.read(1));
        y2 = ord(f_uyvy.read(1));
 
        B = 1.164 * (y1-16) + 2.018 * (u - 128)
        G = 1.164 * (y1-16) - 0.813 * (v - 128) - 0.391 * (u - 128)
        R = 1.164 * (y1-16) + 1.596*(v - 128)
        pix[j*2, i] = int(R), int(G), int(B)
 
        B = 1.164 * (y2-16) + 2.018 * (u - 128)
        G = 1.164 * (y2-16) - 0.813 * (v - 128) - 0.391 * (u - 128)
        R = 1.164 * (y2-16) + 1.596*(v - 128)
        pix[j*2+1, i] = int(R), int(G), int(B)
 
######################################################
# B = 1.164(Y - 16)                   + 2.018(U - 128)
# G = 1.164(Y - 16) - 0.813(V - 128) - 0.391(U - 128)
# R = 1.164(Y - 16) + 1.596(V - 128)
######################################################
 
#image_out.save("out.bmp")
image_out.show()

原始链接

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YUV to RGB : Python Imaging Library