Resize in PyTorch

0508

Buy Me a Coffee

*Memos:

Resize() can resize an image as shown below:

*Memos:

  • The 1st argument for initialization is size(Required-Type:int, tuple/list(int) or size()): *Memos:
    • It’s [height, width].
    • It must be 1 <= x.
    • None can be explicitly set to it only if max_size isn’t None.
    • A tuple/list must be the 1D with 1 or 2 elements.
    • A single value(int or tuple/list(int)) is applied to a smaller image’s width or height edge, then the other larger width or height edge is also resized: *Memos:
    • If an image’s width is smaller than its height, it’s [size * height / width, size].
    • If an image width is larger than its height, it’s [size, size * width / height].
    • If an image width is equal to its height, it’s [size, size].
  • The 2nd argument for initialization is interpolation(Optional-Default:InterpolationMode.BILINEAR-Type:InterpolationMode).
  • The 3rd argument for initialization is max_size(Optional-Default:None-Type:int): *Memos:
    • It’s only supported if size is a single value(int or tuple/list(int)).
    • After size is applied if a larger image’s width or height edge exceeds it, it’s applied to a larger image’s width or height edge to limit the image size, then the other smaller image’s width or height edge also becomes smaller than before.
  • The 4th argument for initialization is antialias(Optional-Default:True-Type:bool). *Even if setting False to it, it’s always True if interpolation is InterpolationMode.BILINEAR or InterpolationMode.BICUBIC.
  • The 1st argument is img(Required-Type:PIL Image or tensor(int, float, complex or bool)): *Memos:
    • A tensor must be the 3D of one or more elements.
    • 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>Resize</span>
<span>from</span> <span>torchvision.transforms.functional</span> <span>import</span> <span>InterpolationMode</span>
<span>resize</span> <span>=</span> <span>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>)</span>
<span>resize</span> <span>=</span> <span>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>,</span>
                <span>interpolation</span><span>=</span><span>InterpolationMode</span><span>.</span><span>BILINEAR</span><span>,</span>
                <span>max_size</span><span>=</span><span>None</span><span>,</span>
                <span>antialias</span><span>=</span><span>True</span><span>)</span>
<span>resize</span>
<span># Resize(size=[100], # interpolation=InterpolationMode.BILINEAR, # antialias=True) </span>
<span>resize</span><span>.</span><span>size</span>
<span># [100] </span>
<span>resize</span><span>.</span><span>interpolation</span>
<span># <InterpolationMode.BILINEAR: 'bilinear'> </span>
<span>print</span><span>(</span><span>resize</span><span>.</span><span>max_size</span><span>)</span>
<span># None </span>
<span>resize</span><span>.</span><span>antialias</span>
<span># True </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>s1000_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `s` is size. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>Resize</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>)</span>
    <span># transform=Resize(size=[1000]) </span>    <span># transform=Resize(size=[1000, 1000]) </span><span>)</span>
<span>s500_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>Resize</span><span>(</span><span>size</span><span>=</span><span>500</span><span>)</span>
<span>)</span>
<span>s100_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>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>)</span>
<span>)</span>
<span>s50_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>Resize</span><span>(</span><span>size</span><span>=</span><span>50</span><span>)</span>
<span>)</span>
<span>s10_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>Resize</span><span>(</span><span>size</span><span>=</span><span>10</span><span>)</span>
<span>)</span>
<span>s1_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>Resize</span><span>(</span><span>size</span><span>=</span><span>1</span><span>)</span>
<span>)</span>
<span>s600_900_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>Resize</span><span>(</span><span>size</span><span>=</span><span>[</span><span>600</span><span>,</span> <span>900</span><span>])</span>
<span>)</span>
<span>s900_600_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>Resize</span><span>(</span><span>size</span><span>=</span><span>[</span><span>900</span><span>,</span> <span>600</span><span>])</span>
<span>)</span>
<span>s200_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>Resize</span><span>(</span><span>size</span><span>=</span><span>[</span><span>200</span><span>,</span> <span>300</span><span>])</span>
<span>)</span>
<span>s300_200_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>Resize</span><span>(</span><span>size</span><span>=</span><span>[</span><span>300</span><span>,</span> <span>200</span><span>])</span>
<span>)</span>
<span>s1000origin_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>Resize</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>)</span>
<span>)</span>
<span>s1000ms1100_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `ms` is max_size. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>Resize</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>max_size</span><span>=</span><span>1100</span><span>)</span>
<span>)</span>
<span>sNonems1100_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>Resize</span><span>(</span><span>size</span><span>=</span><span>None</span><span>,</span> <span>max_size</span><span>=</span><span>1100</span><span>)</span>
<span>)</span>
<span>s100origin_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>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>,</span> <span>max_size</span><span>=</span><span>110</span><span>)</span>
<span>)</span>
<span>s100ms110_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>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>,</span> <span>max_size</span><span>=</span><span>110</span><span>)</span>
<span>)</span>
<span>sNonems110_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>Resize</span><span>(</span><span>size</span><span>=</span><span>None</span><span>,</span> <span>max_size</span><span>=</span><span>110</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>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s500_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s500_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s100_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s50_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s50_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s10_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1_data</span><span>"</span><span>)</span>
<span>print</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>s600_900_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s600_900_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s900_600_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s900_600_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s600_900_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s200_300_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s900_600_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s300_200_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000ms1100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000ms1100_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>sNonems1100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>sNonems1100_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s100origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s100origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s100ms110_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s100ms110_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>sNonems110_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>sNonems110_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>ip</span><span>=</span><span>InterpolationMode</span><span>.</span><span>BILINEAR</span><span>,</span>
                 <span>ms</span><span>=</span><span>None</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>temp_s</span> <span>=</span> <span>s</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>not</span> <span>temp_s</span> <span>and</span> <span>not</span> <span>ms</span><span>:</span>
            <span>s</span> <span>=</span> <span>[</span><span>im</span><span>.</span><span>size</span><span>[</span><span>1</span><span>],</span> <span>im</span><span>.</span><span>size</span><span>[</span><span>0</span><span>]]</span>
        <span>resize</span> <span>=</span> <span>Resize</span><span>(</span><span>size</span><span>=</span><span>s</span><span>,</span> <span>interpolation</span><span>=</span><span>ip</span><span>,</span>  <span># Here </span>                        <span>max_size</span><span>=</span><span>ms</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>resize</span><span>(</span><span>im</span><span>))</span> <span># Here </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>s1000_data</span><span>"</span><span>,</span> <span>s</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>s500_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>500</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>s100_data</span><span>"</span><span>,</span> <span>s</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>s50_data</span><span>"</span><span>,</span> <span>s</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>s10_data</span><span>"</span><span>,</span> <span>s</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>s1_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1</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>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>s600_900_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>[</span><span>600</span><span>,</span> <span>900</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>s900_600_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>[</span><span>900</span><span>,</span> <span>600</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>s200_300_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>[</span><span>200</span><span>,</span> <span>300</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>s300_200_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>[</span><span>300</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>s1000origin_data</span><span>"</span><span>,</span> <span>s</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>s1000ms1100_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>ms</span><span>=</span><span>1100</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>sNonems1100_data</span><span>"</span><span>,</span> <span>ms</span><span>=</span><span>1100</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>s100origin_data</span><span>"</span><span>,</span> <span>s</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>s100ms110_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>100</span><span>,</span>
             <span>ms</span><span>=</span><span>110</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>sNonems110_data</span><span>"</span><span>,</span> <span>ms</span><span>=</span><span>110</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>Resize</span>
<span>from</span> <span>torchvision.transforms.functional</span> <span>import</span> <span>InterpolationMode</span>

<span>resize</span> <span>=</span> <span>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>)</span>
<span>resize</span> <span>=</span> <span>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>,</span>
                <span>interpolation</span><span>=</span><span>InterpolationMode</span><span>.</span><span>BILINEAR</span><span>,</span>
                <span>max_size</span><span>=</span><span>None</span><span>,</span>
                <span>antialias</span><span>=</span><span>True</span><span>)</span>
<span>resize</span>
<span># Resize(size=[100], # interpolation=InterpolationMode.BILINEAR, # antialias=True) </span>
<span>resize</span><span>.</span><span>size</span>
<span># [100] </span>
<span>resize</span><span>.</span><span>interpolation</span>
<span># <InterpolationMode.BILINEAR: 'bilinear'> </span>
<span>print</span><span>(</span><span>resize</span><span>.</span><span>max_size</span><span>)</span>
<span># None </span>
<span>resize</span><span>.</span><span>antialias</span>
<span># True </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>s1000_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `s` is size. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>Resize</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>)</span>
    <span># transform=Resize(size=[1000]) </span>    <span># transform=Resize(size=[1000, 1000]) </span><span>)</span>

<span>s500_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>Resize</span><span>(</span><span>size</span><span>=</span><span>500</span><span>)</span>
<span>)</span>

<span>s100_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>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>)</span>
<span>)</span>

<span>s50_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>Resize</span><span>(</span><span>size</span><span>=</span><span>50</span><span>)</span>
<span>)</span>

<span>s10_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>Resize</span><span>(</span><span>size</span><span>=</span><span>10</span><span>)</span>
<span>)</span>

<span>s1_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>Resize</span><span>(</span><span>size</span><span>=</span><span>1</span><span>)</span>
<span>)</span>

<span>s600_900_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>Resize</span><span>(</span><span>size</span><span>=</span><span>[</span><span>600</span><span>,</span> <span>900</span><span>])</span>
<span>)</span>

<span>s900_600_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>Resize</span><span>(</span><span>size</span><span>=</span><span>[</span><span>900</span><span>,</span> <span>600</span><span>])</span>
<span>)</span>

<span>s200_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>Resize</span><span>(</span><span>size</span><span>=</span><span>[</span><span>200</span><span>,</span> <span>300</span><span>])</span>
<span>)</span>

<span>s300_200_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>Resize</span><span>(</span><span>size</span><span>=</span><span>[</span><span>300</span><span>,</span> <span>200</span><span>])</span>
<span>)</span>

<span>s1000origin_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>Resize</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>)</span>
<span>)</span>

<span>s1000ms1100_data</span> <span>=</span> <span>OxfordIIITPet</span><span>(</span> <span># `ms` is max_size. </span>    <span>root</span><span>=</span><span>"</span><span>data</span><span>"</span><span>,</span>
    <span>transform</span><span>=</span><span>Resize</span><span>(</span><span>size</span><span>=</span><span>1000</span><span>,</span> <span>max_size</span><span>=</span><span>1100</span><span>)</span>
<span>)</span>

<span>sNonems1100_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>Resize</span><span>(</span><span>size</span><span>=</span><span>None</span><span>,</span> <span>max_size</span><span>=</span><span>1100</span><span>)</span>
<span>)</span>

<span>s100origin_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>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>,</span> <span>max_size</span><span>=</span><span>110</span><span>)</span>
<span>)</span>

<span>s100ms110_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>Resize</span><span>(</span><span>size</span><span>=</span><span>100</span><span>,</span> <span>max_size</span><span>=</span><span>110</span><span>)</span>
<span>)</span>

<span>sNonems110_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>Resize</span><span>(</span><span>size</span><span>=</span><span>None</span><span>,</span> <span>max_size</span><span>=</span><span>110</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>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s500_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s500_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s100_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s50_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s50_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s10_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s10_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1_data</span><span>"</span><span>)</span>
<span>print</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>s600_900_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s600_900_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s900_600_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s900_600_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s600_900_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s200_300_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s900_600_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s300_200_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s1000ms1100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s1000ms1100_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>sNonems1100_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>sNonems1100_data</span><span>"</span><span>)</span>
<span>print</span><span>()</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s100origin_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s100origin_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>s100ms110_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>s100ms110_data</span><span>"</span><span>)</span>
<span>show_images1</span><span>(</span><span>data</span><span>=</span><span>sNonems110_data</span><span>,</span> <span>main_title</span><span>=</span><span>"</span><span>sNonems110_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>ip</span><span>=</span><span>InterpolationMode</span><span>.</span><span>BILINEAR</span><span>,</span>
                 <span>ms</span><span>=</span><span>None</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>temp_s</span> <span>=</span> <span>s</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>not</span> <span>temp_s</span> <span>and</span> <span>not</span> <span>ms</span><span>:</span>
            <span>s</span> <span>=</span> <span>[</span><span>im</span><span>.</span><span>size</span><span>[</span><span>1</span><span>],</span> <span>im</span><span>.</span><span>size</span><span>[</span><span>0</span><span>]]</span>
        <span>resize</span> <span>=</span> <span>Resize</span><span>(</span><span>size</span><span>=</span><span>s</span><span>,</span> <span>interpolation</span><span>=</span><span>ip</span><span>,</span>  <span># Here </span>                        <span>max_size</span><span>=</span><span>ms</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>resize</span><span>(</span><span>im</span><span>))</span> <span># Here </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>s1000_data</span><span>"</span><span>,</span> <span>s</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>s500_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>500</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>s100_data</span><span>"</span><span>,</span> <span>s</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>s50_data</span><span>"</span><span>,</span> <span>s</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>s10_data</span><span>"</span><span>,</span> <span>s</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>s1_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1</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>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>s600_900_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>[</span><span>600</span><span>,</span> <span>900</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>s900_600_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>[</span><span>900</span><span>,</span> <span>600</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>s200_300_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>[</span><span>200</span><span>,</span> <span>300</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>s300_200_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>[</span><span>300</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>s1000origin_data</span><span>"</span><span>,</span> <span>s</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>s1000ms1100_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>1000</span><span>,</span>
             <span>ms</span><span>=</span><span>1100</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>sNonems1100_data</span><span>"</span><span>,</span> <span>ms</span><span>=</span><span>1100</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>s100origin_data</span><span>"</span><span>,</span> <span>s</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>s100ms110_data</span><span>"</span><span>,</span> <span>s</span><span>=</span><span>100</span><span>,</span>
             <span>ms</span><span>=</span><span>110</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>sNonems110_data</span><span>"</span><span>,</span> <span>ms</span><span>=</span><span>110</span><span>)</span>
from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import Resize
from torchvision.transforms.functional import InterpolationMode

resize = Resize(size=100)
resize = Resize(size=100,
                interpolation=InterpolationMode.BILINEAR,
                max_size=None,
                antialias=True)
resize
# Resize(size=[100], # interpolation=InterpolationMode.BILINEAR, # antialias=True) 
resize.size
# [100] 
resize.interpolation
# <InterpolationMode.BILINEAR: 'bilinear'> 
print(resize.max_size)
# None 
resize.antialias
# True 
origin_data = OxfordIIITPet(
    root="data",
    transform=None
)

s1000_data = OxfordIIITPet( # `s` is size.     root="data",
    transform=Resize(size=1000)
    # transform=Resize(size=[1000])     # transform=Resize(size=[1000, 1000]) )

s500_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=500)
)

s100_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=100)
)

s50_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=50)
)

s10_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=10)
)

s1_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=1)
)

s600_900_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=[600, 900])
)

s900_600_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=[900, 600])
)

s200_300_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=[200, 300])
)

s300_200_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=[300, 200])
)

s1000origin_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=1000)
)

s1000ms1100_data = OxfordIIITPet( # `ms` is max_size.     root="data",
    transform=Resize(size=1000, max_size=1100)
)

sNonems1100_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=None, max_size=1100)
)

s100origin_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=100, max_size=110)
)

s100ms110_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=100, max_size=110)
)

sNonems110_data = OxfordIIITPet(
    root="data",
    transform=Resize(size=None, max_size=110)
)

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")
show_images1(data=s1000_data, main_title="s1000_data")
show_images1(data=s500_data, main_title="s500_data")
show_images1(data=s100_data, main_title="s100_data")
show_images1(data=s50_data, main_title="s50_data")
show_images1(data=s10_data, main_title="s10_data")
show_images1(data=s1_data, main_title="s1_data")
print()
show_images1(data=origin_data, main_title="origin_data")
show_images1(data=s600_900_data, main_title="s600_900_data")
show_images1(data=s900_600_data, main_title="s900_600_data")
show_images1(data=s600_900_data, main_title="s200_300_data")
show_images1(data=s900_600_data, main_title="s300_200_data")
print()
show_images1(data=s1000origin_data, main_title="s1000origin_data")
show_images1(data=s1000ms1100_data, main_title="s1000ms1100_data")
show_images1(data=sNonems1100_data, main_title="sNonems1100_data")
print()
show_images1(data=s100origin_data, main_title="s100origin_data")
show_images1(data=s100ms110_data, main_title="s100ms110_data")
show_images1(data=sNonems110_data, main_title="sNonems110_data")

# ↓ ↓ ↓ ↓ ↓ ↓ The code below is identical to the code above. ↓ ↓ ↓ ↓ ↓ ↓ def show_images2(data, main_title=None, s=None,
                 ip=InterpolationMode.BILINEAR,
                 ms=None, a=True):
    plt.figure(figsize=[10, 5])
    plt.suptitle(t=main_title, y=0.8, fontsize=14)
    temp_s = s
    for i, (im, _) in zip(range(1, 6), data):
        plt.subplot(1, 5, i)
        if not temp_s and not ms:
            s = [im.size[1], im.size[0]]
        resize = Resize(size=s, interpolation=ip,  # Here                         max_size=ms, antialias=a)
        plt.imshow(X=resize(im)) # Here     plt.tight_layout()
    plt.show()

show_images2(data=origin_data, main_title="origin_data")
show_images2(data=origin_data, main_title="s1000_data", s=1000)
show_images2(data=origin_data, main_title="s500_data", s=500)
show_images2(data=origin_data, main_title="s100_data", s=100)
show_images2(data=origin_data, main_title="s50_data", s=50)
show_images2(data=origin_data, main_title="s10_data", s=10)
show_images2(data=origin_data, main_title="s1_data", s=1)
print()
show_images2(data=origin_data, main_title="origin_data")
show_images2(data=origin_data, main_title="s600_900_data", s=[600, 900])
show_images2(data=origin_data, main_title="s900_600_data", s=[900, 600])
show_images2(data=origin_data, main_title="s200_300_data", s=[200, 300])
show_images2(data=origin_data, main_title="s300_200_data", s=[300, 200])
print()
show_images2(data=origin_data, main_title="s1000origin_data", s=1000)
show_images2(data=origin_data, main_title="s1000ms1100_data", s=1000,
             ms=1100)
show_images2(data=origin_data, main_title="sNonems1100_data", ms=1100)
print()
show_images2(data=origin_data, main_title="s100origin_data", s=100)
show_images2(data=origin_data, main_title="s100ms110_data", s=100,
             ms=110)
show_images2(data=origin_data, main_title="sNonems110_data", ms=110)

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原文链接：Resize in PyTorch

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# python# pytorch# v2# resize
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