I need to find a fast way to convert a binary file to an image. The binary file consist of a NNN matrix and I want to associate 0 to a color and 1 to a different color. I need to perform this operation to more then 1000 binary files. If possible I'd like to avoid using MatLab, is there any tool/software (for unix) that would help me?
EDIT:
This is exactly what I was looking for! On the bottom of the page it says: "TIP: To process many files, use a shell script to pass this URL and your desired parameters to wget and then direct the output to file" Yet I can't do this. I tried with:
wget --post-data="blocksize=10&width=10&offset=0&markval=-1&autoscale=0" \
--post-file="userfile=/path.../filename" http://www.ryanwestafer.com/stuff/bin2img.php \
> output
but all I get is the original page downloaded in my local folder!
Just load your binary number and it will automatically get converted to an image. There are no ads, popups or nonsense, just a binary to image converter. Load a binary value, get an image. Created for developers by developers from team Browserling.
Binary files can be used to store any data; for example, a JPEG image is a binary file designed to be read by a computer system. The data inside a binary file is stored as raw bytes, which is not human readable.
If you have python with the PIL (Image) library installed:
import Image
def colormap(s):
s_out = []
for ch in s: # assume always '\x00' or '\x01'
if s == '\x00':
s_out.append('\x00') # black
else:
s_out.append('\xFF') # white
return ''.join(s_out)
N= 50 # for instance
fin = open('myfile.bin','rb')
data = fin.read(N*N) # read NxN bytes
data = colormap(data)
# convert string to grayscale image
img = Image.fromstring('L', (N,N), data )
# save to file
img.save('thisfile.png')
data = fin.read(N*N) # next NxN bytes
data = colormap(data)
img = Image.fromstring('L', (N,N), data )
img.save('thisfile2.png')
This can be easily modified to loop and sequence filenames, etc as needed
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