In [1]:

    

using Images, RODClf, Color, FixedPointNumbers


    

In [2]:

    

images_csv = readcsv("./dataset/test.csv");


    

In [29]:

    

row_image = (reshape([integer(x) for x in split(images_csv[202,2], " ")], (96,96)));


    

In [30]:

    

example_jpg = imread("test.jpg");


    

In [31]:

    

y = [convert(Ufixed8,integer(x)) for x in split(images_csv[202,2], " ")];


    

In [32]:

    

z = reshape(y, (96,96));


    

In [178]:

    

colour = row_image[12,3] * 0x00010101
r = (colour >> 16) & 0xff;
g = (colour >> 8) & 0xff;
b = colour & 0xff;
pixel_test = [r,g,b]


    

    
Out[178]:





3-element Array{Int64,1}:
 45
 45
 45

In [33]:

    

z = [RGB{Ufixed8}(x, x, x) for x in y];


    

In [185]:

    

RGB{Ufixed8}(0.882,0.91,0.847)


    

    
Out[185]:

In [192]:

    

[convert(Ufixed8, x) for x in pixel_test]


    

    
Out[192]:





3-element Array{Any,1}:
 0.827
 0.827
 0.827

In [34]:

    

Image(reshape(z, (96,96)), example_jpg.properties)


    

    
Out[34]:

In [28]:

    

example_jpg.properties


    

    
Out[28]:





Dict{ASCIIString,Any} with 4 entries:
  "spatialorder" => ASCIIString["y","x"]
  "spacialorder" => ASCIIString["y","x"]
  "pixelspacing" => [1,1]
  "IMcs"         => "sRGB"

In [ ]: