User:-Prototyping Networked-/-RAW-

From XPUB & Lens-Based wiki
Raw image.jpg
#!/usr/bin/env python

#-*- coding:utf-8 -*-

 

import struct

 

f = open("image.data", 'w')

 

data = ''

for x in range(10000):

        data += struct.pack('B', 255)

        data += struct.pack('B', 0)

        data += struct.pack('B', 0)



for x in range(20000):

        data += struct.pack('B', 0)

        data += struct.pack('B', 75)

        data += struct.pack('B', 0)



for x in range(2000):

        data += struct.pack('B', 50)

        data += struct.pack('B', 50)

        data += struct.pack('B', 25)



for x in range(50000):

        data += struct.pack('B', 255)

        data += struct.pack('B', 0)

        data += struct.pack('B', 0)

 

f.write(data)

f.close()
[[File:image raw 9.jpg|thumbnail]]

import struct

import random

 

f = open("image.data", 'w')

 

data = ''

for x in range(random.randint(0,10000)):

    if x % 2:

        data += struct.pack('B', 255)

        data += struct.pack('B', 0)

        data += struct.pack('B', 0)

    else:

        data += struct.pack('B', 0)

        data += struct.pack('B', 255)

        data += struct.pack('B', 0)



for x in range(random.randint(0,10000)):

    if x % 2:

        data += struct.pack('B', 50)

        data += struct.pack('B', 20)

        data += struct.pack('B', 0)

    else:

        data += struct.pack('B', 0)

        data += struct.pack('B', 75)

        data += struct.pack('B', 0)

 

f.write(data)

f.close()

experiments with Henk-Jelle

Raw image 6.jpg

<source lang="python">

import struct

import random

f = open("image.data", 'w')

data =

for x in range(100000):

varR = random.randint(0,255)

varG = random.randint(0,255)

varB = random.randint(0,255)

data += struct.pack('B', varR)

data += struct.pack('B', varG)

       data += struct.pack('B', varB)


f.write(data)

f.close()