RandomResizedCrop in PyTorch (3)

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*Memos:

• My post explains RandomResizedCrop() about size argument.
• My post explains RandomResizedCrop() about scale argument.
• My post explains RandomResizedCrop() about size argument with scale=[0, 0] and ratio=[1, 1].
• My post explains RandomResizedCrop() about scale argument with ratio=[1, 1].
• My post explains RandomResizedCrop() about ratio argument with scale=[0, 0].
• My post explains OxfordIIITPet().

RandomResizedCrop() can crop a random part of an image, then resize it to a given size as shown below:

<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>RandomResizedCrop</span>
<span>from</span> <span>torchvision.transforms.functional</span> <span>import</span> <span>InterpolationMode</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>)</span>
<span>s1000r1_1origin_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `s` is size and `r` is ratio. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>1</span><span>])</span>
<span>)</span>
<span>s1000r01_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>10</span><span>])</span>
<span>)</span>
<span>s1000r01_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>1</span><span>])</span>
<span>)</span>
<span>s1000r1_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>10</span><span>])</span>
<span>)</span>
<span>s1000r09_09_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.9</span><span>,</span> <span>0.9</span><span>])</span>
<span>)</span>
<span>s1000r08_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.8</span><span>])</span>
<span>)</span>
<span>s1000r07_07_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.7</span><span>,</span> <span>0.7</span><span>])</span>
<span>)</span>
<span>s1000r06_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.6</span><span>,</span> <span>0.6</span><span>])</span>
<span>)</span>
<span>s1000r05_05_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.5</span><span>,</span> <span>0.5</span><span>])</span>
<span>)</span>
<span>s1000r04_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.4</span><span>,</span> <span>0.4</span><span>])</span>
<span>)</span>
<span>s1000r03_03_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.3</span><span>,</span> <span>0.3</span><span>])</span>
<span>)</span>
<span>s1000r02_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.2</span><span>,</span> <span>0.2</span><span>])</span>
<span>)</span>
<span>s1000r01_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>0.1</span><span>])</span>
<span>)</span>
<span>s1000r001_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.01</span><span>,</span> <span>0.01</span><span>])</span>
<span>)</span>
<span>s1000r0001_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.001</span><span>,</span> <span>0.001</span><span>])</span>
<span>)</span>
<span>s1000r00001_00001_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.0001</span><span>,</span> <span>0.0001</span><span>])</span>
<span>)</span>
<span>s1000r2_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>2</span><span>,</span> <span>2</span><span>])</span>
<span>)</span>
<span>s1000r3_3_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>3</span><span>,</span> <span>3</span><span>])</span>
<span>)</span>
<span>s1000r4_4_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>4</span><span>,</span> <span>4</span><span>])</span>
<span>)</span>
<span>s1000r5_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>5</span><span>,</span> <span>5</span><span>])</span>
<span>)</span>
<span>s1000r6_6_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>6</span><span>,</span> <span>6</span><span>])</span>
<span>)</span>
<span>s1000r7_7_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>7</span><span>,</span> <span>7</span><span>])</span>
<span>)</span>
<span>s1000r8_8_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>8</span><span>,</span> <span>8</span><span>])</span>
<span>)</span>
<span>s1000r9_9_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>9</span><span>,</span> <span>9</span><span>])</span>
<span>)</span>
<span>s1000r10_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>10</span><span>])</span>
<span>)</span>
<span>s1000r100_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>100</span><span>,</span> <span>100</span><span>])</span>
<span>)</span>
<span>s1000r1000_1000_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>1000</span><span>,</span> <span>1000</span><span>])</span>
<span>)</span>
<span>s1000r10000_10000_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>10000</span><span>,</span> <span>10000</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>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>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r01_10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r01_10_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r01_1_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r01_1_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1_10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1_10_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r09_09_data</span> <span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r09_09_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r08_08_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r08_08_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r07_07_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r07_07_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r06_06_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r06_06_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r05_05_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r05_05_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r04_04_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r04_04_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r03_03_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r03_03_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r02_02_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r02_02_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r01_01_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r01_01_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r001_001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r001_001_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r0001_0001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r0001_0001_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r00001_00001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r00001_00001_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r2_2_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r2_2_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r3_3_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r3_3_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r4_4_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r4_4_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r5_5_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r5_5_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r6_6_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r6_6_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r7_7_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r7_7_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r8_8_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r8_8_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r9_9_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r9_9_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r10_10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r10_10_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r100_100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r100_100_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1000_1000_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1000_1000_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r10000_10000_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r10000_10000_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>s</span><span>=</span><span>None</span><span>,</span> <span>sc</span><span>=</span><span>(</span><span>0.08</span><span>,</span> <span>1.0</span><span>),</span>
                 <span>r</span><span>=</span><span>(</span><span>0.75</span><span>,</span> <span>1.3333333333333333</span><span>),</span>
                 <span>ip</span><span>=</span><span>InterpolationMode</span><span>.</span><span>BILINEAR</span><span>,</span> <span>a</span><span>=</span><span>True</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>if</span> <span>s</span><span>:</span>
            <span>rrc</span> <span>=</span> <span>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>s</span><span>,</span> <span>scale</span><span>=</span><span>sc</span><span>,</span> <span># Here </span>                                    <span>ratio</span><span>=</span><span>r</span><span>,</span> <span>interpolation</span><span>=</span><span>ip</span><span>,</span>
                                    <span>antialias</span><span>=</span><span>a</span><span>)</span>
            <span>plt</span><span>.</span><span>imshow</span><span>(</span><span>X</span><span>=</span><span>rrc</span><span>(</span><span>im</span><span>))</span> <span># Here </span>        <span>else</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>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>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>s1000r1_1origin_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>  
             <span>r</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>s1000r01_10_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.1</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>s1000r01_1_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r1_10_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>10</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>s1000r1_1origin_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r09_09_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.9</span><span>,</span> <span>0.9</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>s1000r08_08_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r07_07_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.7</span><span>,</span> <span>0.7</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>s1000r06_06_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r05_05_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.5</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>s1000r04_04_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r03_03_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.3</span><span>,</span> <span>0.3</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>s1000r02_02_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r01_01_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r001_001_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r0001_0001_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.001</span><span>,</span> <span>0.001</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>s1000r00001_00001_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.0001</span><span>,</span> <span>0.0001</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>s1000r1_1origin_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r2_2_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</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>s1000r3_3_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>3</span><span>,</span> <span>3</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>s1000r4_4_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>4</span><span>,</span> <span>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>s1000r5_5_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</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>s1000r6_6_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>6</span><span>,</span> <span>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>s1000r7_7_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>7</span><span>,</span> <span>7</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>s1000r8_8_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>8</span><span>,</span> <span>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>s1000r9_9_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>9</span><span>,</span> <span>9</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>s1000r10_10_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r100_100_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r1000_1000_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>1000</span><span>,</span> <span>1000</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>s1000r10000_10000_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>10000</span><span>,</span> <span>10000</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>RandomResizedCrop</span>
<span>from</span> <span>torchvision.transforms.functional</span> <span>import</span> <span>InterpolationMode</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>)</span>

<span>s1000r1_1origin_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `s` is size and `r` is ratio. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>1</span><span>])</span>
<span>)</span>

<span>s1000r01_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>10</span><span>])</span>
<span>)</span>

<span>s1000r01_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>1</span><span>])</span>
<span>)</span>

<span>s1000r1_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>10</span><span>])</span>
<span>)</span>

<span>s1000r09_09_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.9</span><span>,</span> <span>0.9</span><span>])</span>
<span>)</span>

<span>s1000r08_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.8</span><span>,</span> <span>0.8</span><span>])</span>
<span>)</span>

<span>s1000r07_07_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.7</span><span>,</span> <span>0.7</span><span>])</span>
<span>)</span>

<span>s1000r06_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.6</span><span>,</span> <span>0.6</span><span>])</span>
<span>)</span>

<span>s1000r05_05_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.5</span><span>,</span> <span>0.5</span><span>])</span>
<span>)</span>

<span>s1000r04_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.4</span><span>,</span> <span>0.4</span><span>])</span>
<span>)</span>

<span>s1000r03_03_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.3</span><span>,</span> <span>0.3</span><span>])</span>
<span>)</span>

<span>s1000r02_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.2</span><span>,</span> <span>0.2</span><span>])</span>
<span>)</span>

<span>s1000r01_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.1</span><span>,</span> <span>0.1</span><span>])</span>
<span>)</span>

<span>s1000r001_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.01</span><span>,</span> <span>0.01</span><span>])</span>
<span>)</span>

<span>s1000r0001_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.001</span><span>,</span> <span>0.001</span><span>])</span>
<span>)</span>

<span>s1000r00001_00001_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>0.0001</span><span>,</span> <span>0.0001</span><span>])</span>
<span>)</span>

<span>s1000r2_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>2</span><span>,</span> <span>2</span><span>])</span>
<span>)</span>

<span>s1000r3_3_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>3</span><span>,</span> <span>3</span><span>])</span>
<span>)</span>

<span>s1000r4_4_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>4</span><span>,</span> <span>4</span><span>])</span>
<span>)</span>

<span>s1000r5_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>5</span><span>,</span> <span>5</span><span>])</span>
<span>)</span>

<span>s1000r6_6_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>6</span><span>,</span> <span>6</span><span>])</span>
<span>)</span>

<span>s1000r7_7_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>7</span><span>,</span> <span>7</span><span>])</span>
<span>)</span>

<span>s1000r8_8_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>8</span><span>,</span> <span>8</span><span>])</span>
<span>)</span>

<span>s1000r9_9_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>9</span><span>,</span> <span>9</span><span>])</span>
<span>)</span>

<span>s1000r10_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>10</span><span>,</span> <span>10</span><span>])</span>
<span>)</span>

<span>s1000r100_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>100</span><span>,</span> <span>100</span><span>])</span>
<span>)</span>

<span>s1000r1000_1000_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>1000</span><span>,</span> <span>1000</span><span>])</span>
<span>)</span>

<span>s1000r10000_10000_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>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>ratio</span><span>=</span><span>[</span><span>10000</span><span>,</span> <span>10000</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>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>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r01_10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r01_10_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r01_1_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r01_1_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1_10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1_10_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r09_09_data</span> <span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r09_09_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r08_08_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r08_08_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r07_07_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r07_07_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r06_06_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r06_06_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r05_05_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r05_05_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r04_04_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r04_04_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r03_03_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r03_03_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r02_02_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r02_02_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r01_01_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r01_01_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r001_001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r001_001_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r0001_0001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r0001_0001_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r00001_00001_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r00001_00001_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1_1origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1_1origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r2_2_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r2_2_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r3_3_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r3_3_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r4_4_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r4_4_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r5_5_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r5_5_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r6_6_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r6_6_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r7_7_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r7_7_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r8_8_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r8_8_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r9_9_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r9_9_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r10_10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r10_10_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r100_100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r100_100_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r1000_1000_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r1000_1000_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000r10000_10000_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000r10000_10000_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>s</span><span>=</span><span>None</span><span>,</span> <span>sc</span><span>=</span><span>(</span><span>0.08</span><span>,</span> <span>1.0</span><span>),</span>
                 <span>r</span><span>=</span><span>(</span><span>0.75</span><span>,</span> <span>1.3333333333333333</span><span>),</span>
                 <span>ip</span><span>=</span><span>InterpolationMode</span><span>.</span><span>BILINEAR</span><span>,</span> <span>a</span><span>=</span><span>True</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>if</span> <span>s</span><span>:</span>
            <span>rrc</span> <span>=</span> <span>RandomResizedCrop</span><span>(</span><span>size</span><span>=</span><span>s</span><span>,</span> <span>scale</span><span>=</span><span>sc</span><span>,</span> <span># Here </span>                                    <span>ratio</span><span>=</span><span>r</span><span>,</span> <span>interpolation</span><span>=</span><span>ip</span><span>,</span>
                                    <span>antialias</span><span>=</span><span>a</span><span>)</span>
            <span>plt</span><span>.</span><span>imshow</span><span>(</span><span>X</span><span>=</span><span>rrc</span><span>(</span><span>im</span><span>))</span> <span># Here </span>        <span>else</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>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>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>s1000r1_1origin_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>  
             <span>r</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>s1000r01_10_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.1</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>s1000r01_1_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r1_10_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>1</span><span>,</span> <span>10</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>s1000r1_1origin_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r09_09_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.9</span><span>,</span> <span>0.9</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>s1000r08_08_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r07_07_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.7</span><span>,</span> <span>0.7</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>s1000r06_06_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r05_05_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.5</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>s1000r04_04_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r03_03_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.3</span><span>,</span> <span>0.3</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>s1000r02_02_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r01_01_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r001_001_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r0001_0001_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.001</span><span>,</span> <span>0.001</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>s1000r00001_00001_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>0.0001</span><span>,</span> <span>0.0001</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>s1000r1_1origin_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r2_2_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</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>s1000r3_3_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>3</span><span>,</span> <span>3</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>s1000r4_4_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>4</span><span>,</span> <span>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>s1000r5_5_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</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>s1000r6_6_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>6</span><span>,</span> <span>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>s1000r7_7_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>7</span><span>,</span> <span>7</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>s1000r8_8_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>8</span><span>,</span> <span>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>s1000r9_9_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span> <span>r</span><span>=</span><span>[</span><span>9</span><span>,</span> <span>9</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>s1000r10_10_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r100_100_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</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>s1000r1000_1000_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>1000</span><span>,</span> <span>1000</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>s1000r10000_10000_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>r</span><span>=</span><span>[</span><span>10000</span><span>,</span> <span>10000</span><span>])</span>
from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import RandomResizedCrop
from torchvision.transforms.functional import InterpolationMode

origin_data = OxfordIIITPet(
    root="data",
    transform=None
)

s1000r1_1origin_data = OxfordIIITPet( # `s` is size and `r` is ratio.     root="data",
    transform=RandomResizedCrop(size=1000, ratio=[1, 1])
)

s1000r01_10_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.1, 10])
)

s1000r01_1_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.1, 1])
)

s1000r1_10_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[1, 10])
)

s1000r09_09_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.9, 0.9])
)

s1000r08_08_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.8, 0.8])
)

s1000r07_07_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.7, 0.7])
)

s1000r06_06_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.6, 0.6])
)

s1000r05_05_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.5, 0.5])
)

s1000r04_04_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.4, 0.4])
)

s1000r03_03_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.3, 0.3])
)

s1000r02_02_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.2, 0.2])
)

s1000r01_01_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.1, 0.1])
)

s1000r001_001_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.01, 0.01])
)

s1000r0001_0001_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.001, 0.001])
)

s1000r00001_00001_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[0.0001, 0.0001])
)

s1000r2_2_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[2, 2])
)

s1000r3_3_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[3, 3])
)

s1000r4_4_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[4, 4])
)

s1000r5_5_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[5, 5])
)

s1000r6_6_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[6, 6])
)

s1000r7_7_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[7, 7])
)

s1000r8_8_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[8, 8])
)

s1000r9_9_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[9, 9])
)

s1000r10_10_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[10, 10])
)

s1000r100_100_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[100, 100])
)

s1000r1000_1000_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[1000, 1000])
)

s1000r10000_10000_data = OxfordIIITPet(
    root="data",
    transform=RandomResizedCrop(size=1000, ratio=[10000, 10000])
)

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.tight_layout()
    plt.show()

show_images1(data=origin_data, main_title="origin_data")
print()
show_images1(data=s1000r1_1origin_data, main_title="s1000r1_1origin_data")
show_images1(data=s1000r01_10_data, main_title="s1000r01_10_data")
show_images1(data=s1000r01_1_data, main_title="s1000r01_1_data")
show_images1(data=s1000r1_10_data, main_title="s1000r1_10_data")
print()
show_images1(data=s1000r1_1origin_data, main_title="s1000r1_1origin_data")
show_images1(data=s1000r09_09_data , main_title="s1000r09_09_data")
show_images1(data=s1000r08_08_data, main_title="s1000r08_08_data")
show_images1(data=s1000r07_07_data, main_title="s1000r07_07_data")
show_images1(data=s1000r06_06_data, main_title="s1000r06_06_data")
show_images1(data=s1000r05_05_data, main_title="s1000r05_05_data")
show_images1(data=s1000r04_04_data, main_title="s1000r04_04_data")
show_images1(data=s1000r03_03_data, main_title="s1000r03_03_data")
show_images1(data=s1000r02_02_data, main_title="s1000r02_02_data")
show_images1(data=s1000r01_01_data, main_title="s1000r01_01_data")
show_images1(data=s1000r001_001_data, main_title="s1000r001_001_data")
show_images1(data=s1000r0001_0001_data, main_title="s1000r0001_0001_data")
show_images1(data=s1000r00001_00001_data, main_title="s1000r00001_00001_data")
print()
show_images1(data=s1000r1_1origin_data, main_title="s1000r1_1origin_data")
show_images1(data=s1000r2_2_data, main_title="s1000r2_2_data")
show_images1(data=s1000r3_3_data, main_title="s1000r3_3_data")
show_images1(data=s1000r4_4_data, main_title="s1000r4_4_data")
show_images1(data=s1000r5_5_data, main_title="s1000r5_5_data")
show_images1(data=s1000r6_6_data, main_title="s1000r6_6_data")
show_images1(data=s1000r7_7_data, main_title="s1000r7_7_data")
show_images1(data=s1000r8_8_data, main_title="s1000r8_8_data")
show_images1(data=s1000r9_9_data, main_title="s1000r9_9_data")
show_images1(data=s1000r10_10_data, main_title="s1000r10_10_data")
show_images1(data=s1000r100_100_data, main_title="s1000r100_100_data")
show_images1(data=s1000r1000_1000_data, main_title="s1000r1000_1000_data")
show_images1(data=s1000r10000_10000_data, main_title="s1000r10000_10000_data")

# ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓ def show_images2(data, main_title=None, s=None, sc=(0.08, 1.0),
                 r=(0.75, 1.3333333333333333),
                 ip=InterpolationMode.BILINEAR, a=True):
    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)
        if s:
            rrc = RandomResizedCrop(size=s, scale=sc, # Here                                     ratio=r, interpolation=ip,
                                    antialias=a)
            plt.imshow(X=rrc(im)) # Here         else:
            plt.imshow(X=im)
    plt.tight_layout()
    plt.show()

show_images2(data=origin_data, main_title="origin_data")
print()
show_images2(data=origin_data, main_title="s1000r1_1origin_data", s=1000,  
             r=[1, 1])
show_images2(data=origin_data, main_title="s1000r01_10_data", s=1000,
             r=[0.1, 10])
show_images2(data=origin_data, main_title="s1000r01_1_data", s=1000,
             r=[0.1, 1])
show_images2(data=origin_data, main_title="s1000r1_10_data", s=1000, r=[1, 10])
print()
show_images2(data=origin_data, main_title="s1000r1_1origin_data", s=1000,
             r=[1, 1])
show_images2(data=origin_data, main_title="s1000r09_09_data", s=1000,
             r=[0.9, 0.9])
show_images2(data=origin_data, main_title="s1000r08_08_data", s=1000,
             r=[0.8, 0.8])
show_images2(data=origin_data, main_title="s1000r07_07_data", s=1000,
             r=[0.7, 0.7])
show_images2(data=origin_data, main_title="s1000r06_06_data", s=1000,
             r=[0.6, 0.6])
show_images2(data=origin_data, main_title="s1000r05_05_data", s=1000,
             r=[0.5, 0.5])
show_images2(data=origin_data, main_title="s1000r04_04_data", s=1000,
             r=[0.4, 0.4])
show_images2(data=origin_data, main_title="s1000r03_03_data", s=1000,
             r=[0.3, 0.3])
show_images2(data=origin_data, main_title="s1000r02_02_data", s=1000,
             r=[0.2, 0.2])
show_images2(data=origin_data, main_title="s1000r01_01_data", s=1000,
             r=[0.1, 0.1])
show_images2(data=origin_data, main_title="s1000r001_001_data", s=1000,
             r=[0.01, 0.01])
show_images2(data=origin_data, main_title="s1000r0001_0001_data", s=1000,
             r=[0.001, 0.001])
show_images2(data=origin_data, main_title="s1000r00001_00001_data", s=1000,
             r=[0.0001, 0.0001])
print()
show_images2(data=origin_data, main_title="s1000r1_1origin_data", s=1000,
             r=[1, 1])
show_images2(data=origin_data, main_title="s1000r2_2_data", s=1000, r=[2, 2])
show_images2(data=origin_data, main_title="s1000r3_3_data", s=1000, r=[3, 3])
show_images2(data=origin_data, main_title="s1000r4_4_data", s=1000, r=[4, 4])
show_images2(data=origin_data, main_title="s1000r5_5_data", s=1000, r=[5, 5])
show_images2(data=origin_data, main_title="s1000r6_6_data", s=1000, r=[6, 6])
show_images2(data=origin_data, main_title="s1000r7_7_data", s=1000, r=[7, 7])
show_images2(data=origin_data, main_title="s1000r8_8_data", s=1000, r=[8, 8])
show_images2(data=origin_data, main_title="s1000r9_9_data", s=1000, r=[9, 9])
show_images2(data=origin_data, main_title="s1000r10_10_data", s=1000,
             r=[10, 10])
show_images2(data=origin_data, main_title="s1000r100_100_data", s=1000,
             r=[100, 100])
show_images2(data=origin_data, main_title="s1000r1000_1000_data", s=1000,
             r=[1000, 1000])
show_images2(data=origin_data, main_title="s1000r10000_10000_data", s=1000,
             r=[10000, 10000])

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原文链接：RandomResizedCrop in PyTorch (3)