RandomAffine in PyTorch (1)

Buy Me a Coffee

*Memos:

• My post explains RandomAffine() with shear argument.
• My post explains RandomRotation().
• My post explains RandomPerspective().
• My post explains RandomHorizontalFlip().
• My post explains RandomVerticalFlip().
• My post explains OxfordIIITPet().

RandomAffine() can do random rotation or random affine transformation for an image as shown below:

*Memos:

• The 1st argument for initialization is degrees(Required-Type:int, float or tuple/list(int or float)): *Memos:
  • It can do rotation.
  • It’s the range of the degrees [min, max] so it must min <= max.
  • A degrees value is randomly taken from the range of [min, max].
  • A tuple/list must be the 1D with 2 elements.
  • A single value(int or float) means [-degrees(min), +degrees(max)].
  • A single value(int or float) must be 0 <= x.
• The 2nd argument for initialization is translate(Optional-Default:None-Type:tuple/list(int or float)): *Memos:
  • It’s [a, b].
  • It must be 0 <= 1.
  • It must be the 1D with 2 elements.
  • The 1st element is for the horizontal shift randomly taken in the range of -img_width * a < horizontal shift < img_width * a.
  • The 2nd element is for the vertical shift randomly taken in the range of -img_height * b < vertical shift < img_height * b.
• The 3rd argument for initialization is scale(Optional-Default:None-Type:tuple/list(int or float)): *Memos:
  • It’s [min, max] so it must min <= max.
  • It must be 0 < x.
  • It must be the 1D with 2 elements.
  • A scale value is randomly taken from the range of [min, max].
• The 4th argument for initialization is shear(Optional-Default:None-Type:int, float or tuple/list(int or float)): *Memos:
  • It can do affine transformation with x and y.
  • It’s [min, max, min, max] so it must min <= max. *Memos:
  • The 1st two elements are the range of x.
  • The 2nd two elements are the range of y.
  • x value is randomly taken from the range of the 1st two elements.
  • y value is randomly taken from the range of the 2nd two elements.
  • A tuple/list must be the 1D with 2 or 4 elements.
  • The tuple/list of 2 elements means [shear[0](min), shear[1](max), 0.0(min), 0.0(min)].
  • A single value means [-shear(min), +shear(max), 0.0(min), 0.0(max)].
  • A single value must be 0 <= x.
• The 5th argument for initialization is interpolation(Optional-Default:InterpolationMode.NEAREST-Type:InterpolationMode).
• The 6th argument for initialization is fill(Optional-Default:0-Type:int, float or tuple/list(int or float)): *Memos:
  • It can change the background of an image. *The background can be seen when doing rotation or affine transformation for an image.
  • A tuple/list must be the 1D with 1 or 3 elements.
• The 7th argument for initialization is center(Optional-Default:None-Type:tuple/list(int or float)): *Memos:
  • It can change the center position of an image.
  • It must be the 1D with 2 elements.
• The 1st argument is img(Required-Type:PIL Image or tensor(int)): *Memos:
  • A tensor must be 3D.
  • Don’t use img=.
• v2 is recommended to use according to V1 or V2? Which one should I use?.

<span>from</span> <span>torchvision.datasets</span> <span>import</span> <span>OxfordIIITPet</span>
<span>from</span> <span>torchvision.transforms.v2</span> <span>import</span> <span>RandomAffine</span>
<span>from</span> <span>torchvision.transforms.functional</span> <span>import</span> <span>InterpolationMode</span>
<span>randomaffine</span> <span>=</span> <span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>90</span><span>)</span>
<span>randomaffine</span> <span>=</span> <span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>-</span><span>90</span><span>,</span> <span>90</span><span>],</span>
                            <span>translate</span><span>=</span><span>None</span><span>,</span>
                            <span>scale</span><span>=</span><span>None</span><span>,</span>
                            <span>shear</span><span>=</span><span>None</span><span>,</span>
                            <span>interpolation</span><span>=</span><span>InterpolationMode</span><span>.</span><span>NEAREST</span><span>,</span>
                            <span>fill</span><span>=</span><span>0</span><span>,</span>
                            <span>center</span><span>=</span><span>None</span><span>)</span>
<span>randomaffine</span>
<span># RandomAffine(degrees=[-90, 90], # interpolation=InterpolationMode.NEAREST, # fill=0) </span>
<span>randomaffine</span><span>.</span><span>degrees</span>
<span># [-90.0, 90.0] </span>
<span>print</span><span>(</span><span>randomaffine</span><span>.</span><span>translate</span><span>)</span>
<span># None </span>
<span>print</span><span>(</span><span>randomaffine</span><span>.</span><span>scale</span><span>)</span>
<span># None </span>
<span>print</span><span>(</span><span>randomaffine</span><span>.</span><span>shear</span><span>)</span>
<span># None </span>
<span>randomaffine</span><span>.</span><span>interpolation</span>
<span># <InterpolationMode.NEAREST: 'nearest'> </span>
<span>randomaffine</span><span>.</span><span>fill</span>
<span># 0 </span>
<span>print</span><span>(</span><span>randomaffine</span><span>.</span><span>center</span><span>)</span>
<span># None </span>
<span>origin_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>None</span>
    <span># transform=RandomAffine(degrees=[0, 0]) </span><span>)</span>
<span>d90_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `d` is degrees. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>90</span><span>)</span>
    <span># transform=RandomAffine(degrees=[-90, 90]) </span><span>)</span>
<span>d90_90_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>90</span><span>,</span> <span>90</span><span>])</span>
<span>)</span>
<span>dn90n90_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `n` is negative. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>-</span><span>90</span><span>,</span> <span>-</span><span>90</span><span>])</span>
<span>)</span>
<span>d180_180_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>180</span><span>,</span> <span>180</span><span>])</span>
<span>)</span>
<span>hrvrtran_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `hr` is horizontal and `vr` is vertical. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>               <span># `tran` is translate. </span>    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>translate</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.5</span><span>])</span>
<span>)</span>
<span>hrtran_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>translate</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0</span><span>])</span>
<span>)</span>
<span>vrtran_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>translate</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0.5</span><span>])</span>
<span>)</span>
<span>dn45n45fgray_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>-</span><span>45</span><span>,</span> <span>-</span><span>45</span><span>],</span> <span>fill</span><span>=</span><span>150</span><span>)</span>
<span>)</span>
<span>d135_135fpurple_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>135</span><span>,</span> <span>135</span><span>],</span> <span>fill</span><span>=</span><span>[</span><span>160</span><span>,</span> <span>32</span><span>,</span> <span>240</span><span>])</span>
<span>)</span>
<span>d180_180c270_200_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `c` is center. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>180</span><span>,</span> <span>180</span><span>],</span> <span>center</span><span>=</span><span>[</span><span>270</span><span>,</span> <span>200</span><span>])</span>
<span>)</span>
<span>scale01_5_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>5</span><span>])</span>
<span>)</span>
<span>scale01_1_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>1</span><span>])</span>
<span>)</span>
<span>scale1_5_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>5</span><span>])</span>
<span>)</span>
<span>scale1_1origin_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>1</span><span>])</span>
<span>)</span>
<span>scale08_08_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.8</span><span>])</span>
<span>)</span>
<span>scale06_06_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.6</span><span>,</span> <span>0.6</span><span>])</span>
<span>)</span>
<span>scale04_04_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.4</span><span>,</span> <span>0.4</span><span>])</span>
<span>)</span>
<span>scale02_02_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.2</span><span>,</span> <span>0.2</span><span>])</span>
<span>)</span>
<span>scale01_01_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>0.1</span><span>])</span>
<span>)</span>
<span>scale001_001_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.01</span><span>,</span> <span>0.01</span><span>])</span>
<span>)</span>
<span>scale0001_0001_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.001</span><span>,</span> <span>0.001</span><span>])</span>
<span>)</span>
<span>scale2_2_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>2</span><span>,</span> <span>2</span><span>])</span>
<span>)</span>
<span>scale5_5_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>5</span><span>,</span> <span>5</span><span>])</span>
<span>)</span>
<span>scale10_10_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>10</span><span>])</span>
<span>)</span>
<span>scale20_20_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>20</span><span>,</span> <span>20</span><span>])</span>
<span>)</span>
<span>scale50_50_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>50</span><span>,</span> <span>50</span><span>])</span>
<span>)</span>
<span>scale100_100_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>100</span><span>,</span> <span>100</span><span>])</span>
<span>)</span>
<span>scale300_300_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>300</span><span>,</span> <span>300</span><span>])</span>
<span>)</span>
<span>import</span> <span>matplotlib.pyplot</span> <span>as</span> <span>plt</span>
<span>def</span> <span>show_images1</span><span>(</span><span>data</span><span>,</span> <span>main_title</span><span>=</span><span>None</span><span>):</span>
    <span>plt</span><span>.</span><span>figure</span><span>(</span><span>figsize</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>5</span><span>])</span>
    <span>plt</span><span>.</span><span>suptitle</span><span>(</span><span>t</span><span>=</span><span>main_title</span><span>,</span> <span>y</span><span>=</span><span>0.8</span><span>,</span> <span>fontsize</span><span>=</span><span>14</span><span>)</span>
    <span>for</span> <span>i</span><span>,</span> <span>(</span><span>im</span><span>,</span> <span>_</span><span>)</span> <span>in</span> <span>zip</span><span>(</span><span>range</span><span>(</span><span>1</span><span>,</span> <span>6</span><span>),</span> <span>data</span><span>):</span>
        <span>plt</span><span>.</span><span>subplot</span><span>(</span><span>1</span><span>,</span> <span>5</span><span>,</span> <span>i</span><span>)</span>
        <span>plt</span><span>.</span><span>imshow</span><span>(</span><span>X</span><span>=</span><span>im</span><span>)</span>
        <span>plt</span><span>.</span><span>xticks</span><span>(</span><span>ticks</span><span>=</span><span>[])</span>
        <span>plt</span><span>.</span><span>yticks</span><span>(</span><span>ticks</span><span>=</span><span>[])</span>
    <span>plt</span><span>.</span><span>tight_layout</span><span>()</span>
    <span>plt</span><span>.</span><span>show</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d90_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d90_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d90_90_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d90_90_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>dn90n90_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>dn90n90_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d180_180_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d180_180_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>hrvrtran_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>hrvrtran_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>hrtran_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>hrtran_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>vrtran_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>vrtran_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>dn45n45fgray_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>dn45n45fgray_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d135_135fpurple_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d135_135fpurple_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d180_180c270_200_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d180_180c270_200_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale01_5_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_5_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale01_1_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_1_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale1_5_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_5_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale08_08_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale08_08_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale06_06_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale06_06_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale04_04_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale04_04_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale02_02_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale02_02_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale01_01_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_01_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale001_001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale001_001_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale0001_0001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale0001_0001_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale2_2_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale2_2_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale5_5_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale5_5_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale10_10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale10_10_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale20_20_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale20_20_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale50_50_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale50_50_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale100_100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale100_100_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale300_300_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale300_300_data</span><span>"</span><span>)</span>
<span># ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓ </span><span>def</span> <span>show_images2</span><span>(</span><span>data</span><span>,</span> <span>main_title</span><span>=</span><span>None</span><span>,</span> <span>d</span><span>=</span><span>0</span><span>,</span> <span>t</span><span>=</span><span>None</span><span>,</span>
                 <span>sc</span><span>=</span><span>None</span><span>,</span> <span>sh</span><span>=</span><span>None</span><span>,</span> <span>f</span><span>=</span><span>0</span><span>,</span> <span>c</span><span>=</span><span>None</span><span>):</span>
    <span>plt</span><span>.</span><span>figure</span><span>(</span><span>figsize</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>5</span><span>])</span>
    <span>plt</span><span>.</span><span>suptitle</span><span>(</span><span>t</span><span>=</span><span>main_title</span><span>,</span> <span>y</span><span>=</span><span>0.8</span><span>,</span> <span>fontsize</span><span>=</span><span>14</span><span>)</span>
    <span>for</span> <span>i</span><span>,</span> <span>(</span><span>im</span><span>,</span> <span>_</span><span>)</span> <span>in</span> <span>zip</span><span>(</span><span>range</span><span>(</span><span>1</span><span>,</span> <span>6</span><span>),</span> <span>data</span><span>):</span>
        <span>plt</span><span>.</span><span>subplot</span><span>(</span><span>1</span><span>,</span> <span>5</span><span>,</span> <span>i</span><span>)</span>
        <span>ra</span> <span>=</span> <span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>d</span><span>,</span> <span>translate</span><span>=</span><span>t</span><span>,</span> <span>scale</span><span>=</span><span>sc</span><span>,</span> <span># Here </span>                          <span>shear</span><span>=</span><span>sh</span><span>,</span> <span>center</span><span>=</span><span>c</span><span>,</span> <span>fill</span><span>=</span><span>f</span><span>)</span>
        <span>plt</span><span>.</span><span>imshow</span><span>(</span><span>X</span><span>=</span><span>ra</span><span>(</span><span>im</span><span>))</span> <span># Here </span>        <span>plt</span><span>.</span><span>xticks</span><span>(</span><span>ticks</span><span>=</span><span>[])</span>
        <span>plt</span><span>.</span><span>yticks</span><span>(</span><span>ticks</span><span>=</span><span>[])</span>
    <span>plt</span><span>.</span><span>tight_layout</span><span>()</span>
    <span>plt</span><span>.</span><span>show</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>origin_data</span><span>"</span><span>)</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d90_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>90</span><span>)</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d90_90_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>90</span><span>,</span> <span>90</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>dn90n90_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>-</span><span>90</span><span>,</span> <span>-</span><span>90</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d180_180_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>180</span><span>,</span> <span>180</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>hrvrtran_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>t</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.5</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>hrtran_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>t</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>vrtran_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>t</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0.5</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>dn45n45fgray_data</span><span>"</span><span>,</span>
             <span>d</span><span>=</span><span>[</span><span>-</span><span>45</span><span>,</span> <span>-</span><span>45</span><span>],</span> <span>f</span><span>=</span><span>150</span><span>)</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d135_135fpurple_data</span><span>"</span><span>,</span>
             <span>d</span><span>=</span><span>[</span><span>135</span><span>,</span> <span>135</span><span>],</span> <span>f</span><span>=</span><span>[</span><span>160</span><span>,</span> <span>32</span><span>,</span> <span>240</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d180_180c270_200_data</span><span>"</span><span>,</span>
             <span>d</span><span>=</span><span>[</span><span>180</span><span>,</span> <span>180</span><span>],</span> <span>c</span><span>=</span><span>[</span><span>270</span><span>,</span> <span>200</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_5_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0.0</span><span>,</span> <span>0.0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>5</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_1_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0.0</span><span>,</span> <span>0.0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>1</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_5_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0.0</span><span>,</span> <span>0.0</span><span>],</span> 
             <span>sc</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>5</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_1origin_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> 
             <span>sc</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>1</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale08_08_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.8</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale06_06_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.6</span><span>,</span> <span>0.6</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale04_04_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.4</span><span>,</span> <span>0.4</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale02_02_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.2</span><span>,</span> <span>0.2</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_01_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>0.1</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale001_001_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.01</span><span>,</span> <span>0.01</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale0001_0001_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> 
             <span>sc</span><span>=</span><span>[</span><span>0.001</span><span>,</span> <span>0.001</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_1origin_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> 
             <span>sc</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>1</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale2_2_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>2</span><span>,</span> <span>2</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale5_5_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>5</span><span>,</span> <span>5</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale10_10_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>10</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale20_20_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>20</span><span>,</span> <span>20</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale50_50_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>50</span><span>,</span> <span>50</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale100_100_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>100</span><span>,</span> <span>100</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale300_300_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>300</span><span>,</span> <span>300</span><span>])</span>
<span>from</span> <span>torchvision.datasets</span> <span>import</span> <span>OxfordIIITPet</span>
<span>from</span> <span>torchvision.transforms.v2</span> <span>import</span> <span>RandomAffine</span>
<span>from</span> <span>torchvision.transforms.functional</span> <span>import</span> <span>InterpolationMode</span>

<span>randomaffine</span> <span>=</span> <span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>90</span><span>)</span>
<span>randomaffine</span> <span>=</span> <span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>-</span><span>90</span><span>,</span> <span>90</span><span>],</span>
                            <span>translate</span><span>=</span><span>None</span><span>,</span>
                            <span>scale</span><span>=</span><span>None</span><span>,</span>
                            <span>shear</span><span>=</span><span>None</span><span>,</span>
                            <span>interpolation</span><span>=</span><span>InterpolationMode</span><span>.</span><span>NEAREST</span><span>,</span>
                            <span>fill</span><span>=</span><span>0</span><span>,</span>
                            <span>center</span><span>=</span><span>None</span><span>)</span>
<span>randomaffine</span>
<span># RandomAffine(degrees=[-90, 90], # interpolation=InterpolationMode.NEAREST, # fill=0) </span>
<span>randomaffine</span><span>.</span><span>degrees</span>
<span># [-90.0, 90.0] </span>
<span>print</span><span>(</span><span>randomaffine</span><span>.</span><span>translate</span><span>)</span>
<span># None </span>
<span>print</span><span>(</span><span>randomaffine</span><span>.</span><span>scale</span><span>)</span>
<span># None </span>
<span>print</span><span>(</span><span>randomaffine</span><span>.</span><span>shear</span><span>)</span>
<span># None </span>
<span>randomaffine</span><span>.</span><span>interpolation</span>
<span># <InterpolationMode.NEAREST: 'nearest'> </span>
<span>randomaffine</span><span>.</span><span>fill</span>
<span># 0 </span>
<span>print</span><span>(</span><span>randomaffine</span><span>.</span><span>center</span><span>)</span>
<span># None </span>
<span>origin_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>None</span>
    <span># transform=RandomAffine(degrees=[0, 0]) </span><span>)</span>

<span>d90_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `d` is degrees. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>90</span><span>)</span>
    <span># transform=RandomAffine(degrees=[-90, 90]) </span><span>)</span>

<span>d90_90_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>90</span><span>,</span> <span>90</span><span>])</span>
<span>)</span>

<span>dn90n90_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `n` is negative. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>-</span><span>90</span><span>,</span> <span>-</span><span>90</span><span>])</span>
<span>)</span>

<span>d180_180_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>180</span><span>,</span> <span>180</span><span>])</span>
<span>)</span>

<span>hrvrtran_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `hr` is horizontal and `vr` is vertical. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>               <span># `tran` is translate. </span>    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>translate</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.5</span><span>])</span>
<span>)</span>

<span>hrtran_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>translate</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0</span><span>])</span>
<span>)</span>

<span>vrtran_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>translate</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0.5</span><span>])</span>
<span>)</span>

<span>dn45n45fgray_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>-</span><span>45</span><span>,</span> <span>-</span><span>45</span><span>],</span> <span>fill</span><span>=</span><span>150</span><span>)</span>
<span>)</span>

<span>d135_135fpurple_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>135</span><span>,</span> <span>135</span><span>],</span> <span>fill</span><span>=</span><span>[</span><span>160</span><span>,</span> <span>32</span><span>,</span> <span>240</span><span>])</span>
<span>)</span>

<span>d180_180c270_200_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `c` is center. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>180</span><span>,</span> <span>180</span><span>],</span> <span>center</span><span>=</span><span>[</span><span>270</span><span>,</span> <span>200</span><span>])</span>
<span>)</span>

<span>scale01_5_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>5</span><span>])</span>
<span>)</span>

<span>scale01_1_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>1</span><span>])</span>
<span>)</span>

<span>scale1_5_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>5</span><span>])</span>
<span>)</span>

<span>scale1_1origin_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>1</span><span>])</span>
<span>)</span>

<span>scale08_08_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.8</span><span>])</span>
<span>)</span>

<span>scale06_06_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.6</span><span>,</span> <span>0.6</span><span>])</span>
<span>)</span>

<span>scale04_04_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.4</span><span>,</span> <span>0.4</span><span>])</span>
<span>)</span>

<span>scale02_02_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.2</span><span>,</span> <span>0.2</span><span>])</span>
<span>)</span>

<span>scale01_01_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>0.1</span><span>])</span>
<span>)</span>

<span>scale001_001_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.01</span><span>,</span> <span>0.01</span><span>])</span>
<span>)</span>

<span>scale0001_0001_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>0.001</span><span>,</span> <span>0.001</span><span>])</span>
<span>)</span>

<span>scale2_2_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>2</span><span>,</span> <span>2</span><span>])</span>
<span>)</span>

<span>scale5_5_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>5</span><span>,</span> <span>5</span><span>])</span>
<span>)</span>

<span>scale10_10_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>10</span><span>])</span>
<span>)</span>

<span>scale20_20_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>20</span><span>,</span> <span>20</span><span>])</span>
<span>)</span>

<span>scale50_50_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>50</span><span>,</span> <span>50</span><span>])</span>
<span>)</span>

<span>scale100_100_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>100</span><span>,</span> <span>100</span><span>])</span>
<span>)</span>

<span>scale300_300_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span>
    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> <span>scale</span><span>=</span><span>[</span><span>300</span><span>,</span> <span>300</span><span>])</span>
<span>)</span>

<span>import</span> <span>matplotlib.pyplot</span> <span>as</span> <span>plt</span>

<span>def</span> <span>show_images1</span><span>(</span><span>data</span><span>,</span> <span>main_title</span><span>=</span><span>None</span><span>):</span>
    <span>plt</span><span>.</span><span>figure</span><span>(</span><span>figsize</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>5</span><span>])</span>
    <span>plt</span><span>.</span><span>suptitle</span><span>(</span><span>t</span><span>=</span><span>main_title</span><span>,</span> <span>y</span><span>=</span><span>0.8</span><span>,</span> <span>fontsize</span><span>=</span><span>14</span><span>)</span>
    <span>for</span> <span>i</span><span>,</span> <span>(</span><span>im</span><span>,</span> <span>_</span><span>)</span> <span>in</span> <span>zip</span><span>(</span><span>range</span><span>(</span><span>1</span><span>,</span> <span>6</span><span>),</span> <span>data</span><span>):</span>
        <span>plt</span><span>.</span><span>subplot</span><span>(</span><span>1</span><span>,</span> <span>5</span><span>,</span> <span>i</span><span>)</span>
        <span>plt</span><span>.</span><span>imshow</span><span>(</span><span>X</span><span>=</span><span>im</span><span>)</span>
        <span>plt</span><span>.</span><span>xticks</span><span>(</span><span>ticks</span><span>=</span><span>[])</span>
        <span>plt</span><span>.</span><span>yticks</span><span>(</span><span>ticks</span><span>=</span><span>[])</span>
    <span>plt</span><span>.</span><span>tight_layout</span><span>()</span>
    <span>plt</span><span>.</span><span>show</span><span>()</span>

<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d90_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d90_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d90_90_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d90_90_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>dn90n90_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>dn90n90_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d180_180_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d180_180_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>hrvrtran_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>hrvrtran_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>hrtran_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>hrtran_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>vrtran_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>vrtran_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>dn45n45fgray_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>dn45n45fgray_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d135_135fpurple_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d135_135fpurple_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>d180_180c270_200_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d180_180c270_200_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale01_5_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_5_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale01_1_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_1_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale1_5_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_5_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale08_08_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale08_08_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale06_06_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale06_06_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale04_04_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale04_04_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale02_02_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale02_02_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale01_01_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_01_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale001_001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale001_001_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale0001_0001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale0001_0001_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale2_2_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale2_2_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale5_5_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale5_5_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale10_10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale10_10_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale20_20_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale20_20_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale50_50_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale50_50_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale100_100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale100_100_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>scale300_300_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale300_300_data</span><span>"</span><span>)</span>

<span># ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓ </span><span>def</span> <span>show_images2</span><span>(</span><span>data</span><span>,</span> <span>main_title</span><span>=</span><span>None</span><span>,</span> <span>d</span><span>=</span><span>0</span><span>,</span> <span>t</span><span>=</span><span>None</span><span>,</span>
                 <span>sc</span><span>=</span><span>None</span><span>,</span> <span>sh</span><span>=</span><span>None</span><span>,</span> <span>f</span><span>=</span><span>0</span><span>,</span> <span>c</span><span>=</span><span>None</span><span>):</span>
    <span>plt</span><span>.</span><span>figure</span><span>(</span><span>figsize</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>5</span><span>])</span>
    <span>plt</span><span>.</span><span>suptitle</span><span>(</span><span>t</span><span>=</span><span>main_title</span><span>,</span> <span>y</span><span>=</span><span>0.8</span><span>,</span> <span>fontsize</span><span>=</span><span>14</span><span>)</span>
    <span>for</span> <span>i</span><span>,</span> <span>(</span><span>im</span><span>,</span> <span>_</span><span>)</span> <span>in</span> <span>zip</span><span>(</span><span>range</span><span>(</span><span>1</span><span>,</span> <span>6</span><span>),</span> <span>data</span><span>):</span>
        <span>plt</span><span>.</span><span>subplot</span><span>(</span><span>1</span><span>,</span> <span>5</span><span>,</span> <span>i</span><span>)</span>
        <span>ra</span> <span>=</span> <span>RandomAffine</span><span>(</span><span>degrees</span><span>=</span><span>d</span><span>,</span> <span>translate</span><span>=</span><span>t</span><span>,</span> <span>scale</span><span>=</span><span>sc</span><span>,</span> <span># Here </span>                          <span>shear</span><span>=</span><span>sh</span><span>,</span> <span>center</span><span>=</span><span>c</span><span>,</span> <span>fill</span><span>=</span><span>f</span><span>)</span>
        <span>plt</span><span>.</span><span>imshow</span><span>(</span><span>X</span><span>=</span><span>ra</span><span>(</span><span>im</span><span>))</span> <span># Here </span>        <span>plt</span><span>.</span><span>xticks</span><span>(</span><span>ticks</span><span>=</span><span>[])</span>
        <span>plt</span><span>.</span><span>yticks</span><span>(</span><span>ticks</span><span>=</span><span>[])</span>
    <span>plt</span><span>.</span><span>tight_layout</span><span>()</span>
    <span>plt</span><span>.</span><span>show</span><span>()</span>

<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>origin_data</span><span>"</span><span>)</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d90_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>90</span><span>)</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d90_90_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>90</span><span>,</span> <span>90</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>dn90n90_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>-</span><span>90</span><span>,</span> <span>-</span><span>90</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d180_180_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>180</span><span>,</span> <span>180</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>hrvrtran_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>t</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.5</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>hrtran_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>t</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>vrtran_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>t</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0.5</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>dn45n45fgray_data</span><span>"</span><span>,</span>
             <span>d</span><span>=</span><span>[</span><span>-</span><span>45</span><span>,</span> <span>-</span><span>45</span><span>],</span> <span>f</span><span>=</span><span>150</span><span>)</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d135_135fpurple_data</span><span>"</span><span>,</span>
             <span>d</span><span>=</span><span>[</span><span>135</span><span>,</span> <span>135</span><span>],</span> <span>f</span><span>=</span><span>[</span><span>160</span><span>,</span> <span>32</span><span>,</span> <span>240</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>d180_180c270_200_data</span><span>"</span><span>,</span>
             <span>d</span><span>=</span><span>[</span><span>180</span><span>,</span> <span>180</span><span>],</span> <span>c</span><span>=</span><span>[</span><span>270</span><span>,</span> <span>200</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_5_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0.0</span><span>,</span> <span>0.0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>5</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_1_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0.0</span><span>,</span> <span>0.0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>1</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_5_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0.0</span><span>,</span> <span>0.0</span><span>],</span> 
             <span>sc</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>5</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_1origin_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> 
             <span>sc</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>1</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale08_08_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.8</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale06_06_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.6</span><span>,</span> <span>0.6</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale04_04_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.4</span><span>,</span> <span>0.4</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale02_02_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.2</span><span>,</span> <span>0.2</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale01_01_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>0.1</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale001_001_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>0.01</span><span>,</span> <span>0.01</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale0001_0001_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> 
             <span>sc</span><span>=</span><span>[</span><span>0.001</span><span>,</span> <span>0.001</span><span>])</span>
<span>print</span><span>()</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale1_1origin_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span> 
             <span>sc</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>1</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale2_2_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>2</span><span>,</span> <span>2</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale5_5_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>5</span><span>,</span> <span>5</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale10_10_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>10</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale20_20_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>20</span><span>,</span> <span>20</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale50_50_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>50</span><span>,</span> <span>50</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale100_100_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>100</span><span>,</span> <span>100</span><span>])</span>
<span>show_images2</span><span>(</span><span>data</span><span>=</span><span>origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>scale300_300_data</span><span>"</span><span>,</span> <span>d</span><span>=</span><span>[</span><span>0</span><span>,</span> <span>0</span><span>],</span>
             <span>sc</span><span>=</span><span>[</span><span>300</span><span>,</span> <span>300</span><span>])</span>
from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import RandomAffine
from torchvision.transforms.functional import InterpolationMode

randomaffine = RandomAffine(degrees=90)
randomaffine = RandomAffine(degrees=[-90, 90],
                            translate=None,
                            scale=None,
                            shear=None,
                            interpolation=InterpolationMode.NEAREST,
                            fill=0,
                            center=None)
randomaffine
# RandomAffine(degrees=[-90, 90], # interpolation=InterpolationMode.NEAREST, # fill=0) 
randomaffine.degrees
# [-90.0, 90.0] 
print(randomaffine.translate)
# None 
print(randomaffine.scale)
# None 
print(randomaffine.shear)
# None 
randomaffine.interpolation
# <InterpolationMode.NEAREST: 'nearest'> 
randomaffine.fill
# 0 
print(randomaffine.center)
# None 
origin_data = OxfordIIITPet(
    root="data",
    transform=None
    # transform=RandomAffine(degrees=[0, 0]) )

d90_data = OxfordIIITPet( # `d` is degrees.     root="data",
    transform=RandomAffine(degrees=90)
    # transform=RandomAffine(degrees=[-90, 90]) )

d90_90_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[90, 90])
)

dn90n90_data = OxfordIIITPet( # `n` is negative.     root="data",
    transform=RandomAffine(degrees=[-90, -90])
)

d180_180_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[180, 180])
)

hrvrtran_data = OxfordIIITPet( # `hr` is horizontal and `vr` is vertical.     root="data",               # `tran` is translate.     transform=RandomAffine(degrees=[0, 0], translate=[0.8, 0.5])
)

hrtran_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], translate=[0.8, 0])
)

vrtran_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], translate=[0, 0.5])
)

dn45n45fgray_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[-45, -45], fill=150)
)

d135_135fpurple_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[135, 135], fill=[160, 32, 240])
)

d180_180c270_200_data = OxfordIIITPet( # `c` is center.     root="data",
    transform=RandomAffine(degrees=[180, 180], center=[270, 200])
)

scale01_5_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.1, 5])
)

scale01_1_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.1, 1])
)

scale1_5_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[1, 5])
)

scale1_1origin_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[1, 1])
)

scale08_08_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.8, 0.8])
)

scale06_06_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.6, 0.6])
)

scale04_04_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.4, 0.4])
)

scale02_02_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.2, 0.2])
)

scale01_01_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.1, 0.1])
)

scale001_001_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.01, 0.01])
)

scale0001_0001_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[0.001, 0.001])
)

scale2_2_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[2, 2])
)

scale5_5_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[5, 5])
)

scale10_10_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[10, 10])
)

scale20_20_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[20, 20])
)

scale50_50_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[50, 50])
)

scale100_100_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[100, 100])
)

scale300_300_data = OxfordIIITPet(
    root="data",
    transform=RandomAffine(degrees=[0, 0], scale=[300, 300])
)

import matplotlib.pyplot as plt

def show_images1(data, main_title=None):
    plt.figure(figsize=[10, 5])
    plt.suptitle(t=main_title, y=0.8, fontsize=14)
    for i, (im, _) in zip(range(1, 6), data):
        plt.subplot(1, 5, i)
        plt.imshow(X=im)
        plt.xticks(ticks=[])
        plt.yticks(ticks=[])
    plt.tight_layout()
    plt.show()

show_images1(data=origin_data, main_title="origin_data")
show_images1(data=d90_data, main_title="d90_data")
show_images1(data=d90_90_data, main_title="d90_90_data")
show_images1(data=dn90n90_data, main_title="dn90n90_data")
show_images1(data=d180_180_data, main_title="d180_180_data")
print()
show_images1(data=hrvrtran_data, main_title="hrvrtran_data")
show_images1(data=hrtran_data, main_title="hrtran_data")
show_images1(data=vrtran_data, main_title="vrtran_data")
print()
show_images1(data=dn45n45fgray_data, main_title="dn45n45fgray_data")
show_images1(data=d135_135fpurple_data, main_title="d135_135fpurple_data")
show_images1(data=d180_180c270_200_data, main_title="d180_180c270_200_data")
print()
show_images1(data=scale01_5_data, main_title="scale01_5_data")
show_images1(data=scale01_1_data, main_title="scale01_1_data")
show_images1(data=scale1_5_data, main_title="scale1_5_data")
print()
show_images1(data=scale1_1origin_data, main_title="scale1_1origin_data")
show_images1(data=scale08_08_data, main_title="scale08_08_data")
show_images1(data=scale06_06_data, main_title="scale06_06_data")
show_images1(data=scale04_04_data, main_title="scale04_04_data")
show_images1(data=scale02_02_data, main_title="scale02_02_data")
show_images1(data=scale01_01_data, main_title="scale01_01_data")
show_images1(data=scale001_001_data, main_title="scale001_001_data")
show_images1(data=scale0001_0001_data, main_title="scale0001_0001_data")
print()
show_images1(data=scale1_1origin_data, main_title="scale1_1origin_data")
show_images1(data=scale2_2_data, main_title="scale2_2_data")
show_images1(data=scale5_5_data, main_title="scale5_5_data")
show_images1(data=scale10_10_data, main_title="scale10_10_data")
show_images1(data=scale20_20_data, main_title="scale20_20_data")
show_images1(data=scale50_50_data, main_title="scale50_50_data")
show_images1(data=scale100_100_data, main_title="scale100_100_data")
show_images1(data=scale300_300_data, main_title="scale300_300_data")

# ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓ def show_images2(data, main_title=None, d=0, t=None,
                 sc=None, sh=None, f=0, c=None):
    plt.figure(figsize=[10, 5])
    plt.suptitle(t=main_title, y=0.8, fontsize=14)
    for i, (im, _) in zip(range(1, 6), data):
        plt.subplot(1, 5, i)
        ra = RandomAffine(degrees=d, translate=t, scale=sc, # Here                           shear=sh, center=c, fill=f)
        plt.imshow(X=ra(im)) # Here         plt.xticks(ticks=[])
        plt.yticks(ticks=[])
    plt.tight_layout()
    plt.show()

show_images2(data=origin_data, main_title="origin_data")
show_images2(data=origin_data, main_title="d90_data", d=90)
show_images2(data=origin_data, main_title="d90_90_data", d=[90, 90])
show_images2(data=origin_data, main_title="dn90n90_data", d=[-90, -90])
show_images2(data=origin_data, main_title="d180_180_data", d=[180, 180])
print()
show_images2(data=origin_data, main_title="hrvrtran_data", d=[0, 0],
             t=[0.8, 0.5])
show_images2(data=origin_data, main_title="hrtran_data", d=[0, 0],
             t=[0.8, 0])
show_images2(data=origin_data, main_title="vrtran_data", d=[0, 0],
             t=[0, 0.5])
print()
show_images2(data=origin_data, main_title="dn45n45fgray_data",
             d=[-45, -45], f=150)
show_images2(data=origin_data, main_title="d135_135fpurple_data",
             d=[135, 135], f=[160, 32, 240])
show_images2(data=origin_data, main_title="d180_180c270_200_data",
             d=[180, 180], c=[270, 200])
print()
show_images2(data=origin_data, main_title="scale01_5_data", d=[0.0, 0.0],
             sc=[0.1, 5])
show_images2(data=origin_data, main_title="scale01_1_data", d=[0.0, 0.0],
             sc=[0.1, 1])
show_images2(data=origin_data, main_title="scale1_5_data", d=[0.0, 0.0], 
             sc=[1, 5])
print()
show_images2(data=origin_data, main_title="scale1_1origin_data", d=[0, 0], 
             sc=[1, 1])
show_images2(data=origin_data, main_title="scale08_08_data", d=[0, 0],
             sc=[0.8, 0.8])
show_images2(data=origin_data, main_title="scale06_06_data", d=[0, 0],
             sc=[0.6, 0.6])
show_images2(data=origin_data, main_title="scale04_04_data", d=[0, 0],
             sc=[0.4, 0.4])
show_images2(data=origin_data, main_title="scale02_02_data", d=[0, 0],
             sc=[0.2, 0.2])
show_images2(data=origin_data, main_title="scale01_01_data", d=[0, 0],
             sc=[0.1, 0.1])
show_images2(data=origin_data, main_title="scale001_001_data", d=[0, 0],
             sc=[0.01, 0.01])
show_images2(data=origin_data, main_title="scale0001_0001_data", d=[0, 0], 
             sc=[0.001, 0.001])
print()
show_images2(data=origin_data, main_title="scale1_1origin_data", d=[0, 0], 
             sc=[1, 1])
show_images2(data=origin_data, main_title="scale2_2_data", d=[0, 0],
             sc=[2, 2])
show_images2(data=origin_data, main_title="scale5_5_data", d=[0, 0],
             sc=[5, 5])
show_images2(data=origin_data, main_title="scale10_10_data", d=[0, 0],
             sc=[10, 10])
show_images2(data=origin_data, main_title="scale20_20_data", d=[0, 0],
             sc=[20, 20])
show_images2(data=origin_data, main_title="scale50_50_data", d=[0, 0],
             sc=[50, 50])
show_images2(data=origin_data, main_title="scale100_100_data", d=[0, 0],
             sc=[100, 100])
show_images2(data=origin_data, main_title="scale300_300_data", d=[0, 0],
             sc=[300, 300])

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原文链接：RandomAffine in PyTorch (1)