Python - error reading file from list of filenames

Question

I am trying to compare the first image in a folder to all other images in the same folder, to check for identical images. Simple idea - load the filenames of the folder in question to a list f, make a nested for loop to compare f[0] to f[1], f[2]...and so on. This works for f[0], f[1], f[2], but then gives IOError No such file or directory: '1_slice_0003.tif'. The file is in the folder, and it is written to f correctly (I can print f[3] without error). Length of f also matches the number of files in the image directory. What am I missing here?

from PIL import Image
import math, operator
import os

f = os.listdir("E:/JAWS/Converted_tiff/1")
count = 0

for filename in f:


    h1 = Image.open(filename).histogram()

    for filename in f:

       filename = f[count]
       h2 = Image.open(filename).histogram()

       rms = math.sqrt(reduce(operator.add,
                    map(lambda a,b: (a-b)**2, h1, h2))/len(h1))

       print str(f[count])
       print rms
       count += 1

Oli · Accepted Answer · 2018-09-27 08:42:27Z

4

You need to give path to folder as well.

for filename in f:
    h1 = Image.open(os.path.join(f, filename)).histogram()

answered Sep 27, 2018 at 8:42

Oli

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Sanan Guliyev · Accepted Answer · 2018-09-27 09:08:17Z

1

You increase the count on the wrong level and you do not use the real path to open the file.

from PIL import Image
import math, operator
import os

f = os.listdir("E:/JAWS/Converted_tiff/1")
count = 0

for filename in f:


    h1 = Image.open(os.path.join(f, filename)).histogram()

    for filename in f:

       filename = f[count]
       h2 = Image.open(os.path.join(f, filename)).histogram()

       rms = math.sqrt(reduce(operator.add,
                    map(lambda a,b: (a-b)**2, h1, h2))/len(h1))

       print str(f[count])
       print rms

    count += 1

Btw, Instead opening file every time you can cache histograms for avoiding open same file over and over again.

edited Sep 27, 2018 at 9:08

answered Sep 27, 2018 at 8:50

Sanan Guliyev

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