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2 changes: 1 addition & 1 deletion 0.1/applications/CARE/denoising_U2OS/index.html
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display: inline-block;
white-space: normal;
}
</style> <div class=jupyter-wrapper> <div class=jp-Notebook data-jp-theme-light=true data-jp-theme-name="JupyterLab Light"> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=a9b3b600"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p> <a href=https://github.com/CAREamics/careamics-examples/blob/main/applications/care/denoising/2D/U2OS_CARE.ipynb style="display: inline-flex; align-items: center;"> <img alt="No description has been provided for this image" src=https://raw.githubusercontent.com/CAREamics/careamics.github.io/3bca810be17b0693503615673418d264d1962dac/docs/overrides/.icons/octicons/mark-github.svg style="margin-right: 8px;"> <b>Find me on Github</b> </a> </p> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p>The U2OS dataset is composed of pairs of noisy and high SNR nuclei images acquired in fluorescence microscopy. They were originally used in Weigert et al (2018) to showcase CARE denoising.</p> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type=inline> <div class="CodeMirror cm-s-jupyter"> <div class=zeroclipboard-container> <clipboard-copy , aria-label="Copy to Clipboard" for=cell-1> <div> <span class=notice hidden>Copied!</span> <svg aria-hidden=true class=clipboard-copy-icon data-view-component=true height=20 version=1.1 viewbox="0 0 16 16" width=20> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill=currentColor fill-rule=evenodd></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill=currentColor fill-rule=evenodd></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class=c1># Imports necessary to execute the code</span>
</style> <div class=jupyter-wrapper> <div class=jp-Notebook data-jp-theme-light=true data-jp-theme-name="JupyterLab Light"> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=89d03bb6"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p> <a href=https://github.com/CAREamics/careamics-examples/blob/main/applications/care/denoising/2D/U2OS_CARE.ipynb style="display: inline-flex; align-items: center;"> <img alt="No description has been provided for this image" src=https://raw.githubusercontent.com/CAREamics/careamics.github.io/3bca810be17b0693503615673418d264d1962dac/docs/overrides/.icons/octicons/mark-github.svg style="margin-right: 8px;"> <b>Find me on Github</b> </a> </p> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p>The U2OS dataset is composed of pairs of noisy and high SNR nuclei images acquired in fluorescence microscopy. They were originally used in Weigert et al (2018) to showcase CARE denoising.</p> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type=inline> <div class="CodeMirror cm-s-jupyter"> <div class=zeroclipboard-container> <clipboard-copy , aria-label="Copy to Clipboard" for=cell-1> <div> <span class=notice hidden>Copied!</span> <svg aria-hidden=true class=clipboard-copy-icon data-view-component=true height=20 version=1.1 viewbox="0 0 16 16" width=20> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill=currentColor fill-rule=evenodd></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill=currentColor fill-rule=evenodd></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class=c1># Imports necessary to execute the code</span>
<span class=kn>from</span> <span class=nn>pathlib</span> <span class=kn>import</span> <span class=n>Path</span>

<span class=kn>import</span> <span class=nn>matplotlib.pyplot</span> <span class=k>as</span> <span class=nn>plt</span>
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2 changes: 1 addition & 1 deletion 0.1/applications/Lightning_API/BSD68_N2V/index.html
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display: inline-block;
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}
</style> <div class=jupyter-wrapper> <div class=jp-Notebook data-jp-theme-light=true data-jp-theme-name="JupyterLab Light"> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=62171596"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p> <a href=https://github.com/CAREamics/careamics-examples/blob/main/applications/lightning_api/2D/BSD68_Noise2Void_lightning_api.ipynb style="display: inline-flex; align-items: center;"> <img alt="No description has been provided for this image" src=https://raw.githubusercontent.com/CAREamics/careamics.github.io/3bca810be17b0693503615673418d264d1962dac/docs/overrides/.icons/octicons/mark-github.svg style="margin-right: 8px;"> <b>Find me on Github</b> </a> </p> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p>The BSD68 dataset was adapted from K. Zhang et al (TIP, 2017) and is composed of natural images. The noise was artificially added, allowing for quantitative comparisons with the ground truth, one of the benchmark used in many denoising publications. Here, we check the performances of Noise2Void using the Lightning API of CAREamics.</p> <p>This API gives you more freedom to customize the training by using wrappers around the main elements of CAREamics: the datasets and the lightning module.</p> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type=inline> <div class="CodeMirror cm-s-jupyter"> <div class=zeroclipboard-container> <clipboard-copy , aria-label="Copy to Clipboard" for=cell-1> <div> <span class=notice hidden>Copied!</span> <svg aria-hidden=true class=clipboard-copy-icon data-view-component=true height=20 version=1.1 viewbox="0 0 16 16" width=20> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill=currentColor fill-rule=evenodd></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill=currentColor fill-rule=evenodd></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class=c1># Imports necessary to execute the code</span>
</style> <div class=jupyter-wrapper> <div class=jp-Notebook data-jp-theme-light=true data-jp-theme-name="JupyterLab Light"> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=d5c00e92"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p> <a href=https://github.com/CAREamics/careamics-examples/blob/main/applications/lightning_api/2D/BSD68_Noise2Void_lightning_api.ipynb style="display: inline-flex; align-items: center;"> <img alt="No description has been provided for this image" src=https://raw.githubusercontent.com/CAREamics/careamics.github.io/3bca810be17b0693503615673418d264d1962dac/docs/overrides/.icons/octicons/mark-github.svg style="margin-right: 8px;"> <b>Find me on Github</b> </a> </p> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p>The BSD68 dataset was adapted from K. Zhang et al (TIP, 2017) and is composed of natural images. The noise was artificially added, allowing for quantitative comparisons with the ground truth, one of the benchmark used in many denoising publications. Here, we check the performances of Noise2Void using the Lightning API of CAREamics.</p> <p>This API gives you more freedom to customize the training by using wrappers around the main elements of CAREamics: the datasets and the lightning module.</p> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type=inline> <div class="CodeMirror cm-s-jupyter"> <div class=zeroclipboard-container> <clipboard-copy , aria-label="Copy to Clipboard" for=cell-1> <div> <span class=notice hidden>Copied!</span> <svg aria-hidden=true class=clipboard-copy-icon data-view-component=true height=20 version=1.1 viewbox="0 0 16 16" width=20> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill=currentColor fill-rule=evenodd></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill=currentColor fill-rule=evenodd></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class=c1># Imports necessary to execute the code</span>
<span class=kn>from</span> <span class=nn>pathlib</span> <span class=kn>import</span> <span class=n>Path</span>

<span class=kn>import</span> <span class=nn>matplotlib.pyplot</span> <span class=k>as</span> <span class=nn>plt</span>
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2 changes: 1 addition & 1 deletion 0.1/applications/N2V2/BSD68/index.html
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display: inline-block;
white-space: normal;
}
</style> <div class=jupyter-wrapper> <div class=jp-Notebook data-jp-theme-light=true data-jp-theme-name="JupyterLab Light"> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=2b1ff541"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p> <a href=https://github.com/CAREamics/careamics-examples/blob/main/applications/n2v/2D/BSD68_N2V2.ipynb style="display: inline-flex; align-items: center;"> <img alt="No description has been provided for this image" src=https://raw.githubusercontent.com/CAREamics/careamics.github.io/3bca810be17b0693503615673418d264d1962dac/docs/overrides/.icons/octicons/mark-github.svg style="margin-right: 8px;"> <b>Find me on Github</b> </a> </p> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p>The BSD68 dataset was adapted from K. Zhang et al (TIP, 2017) and is composed of natural images. The noise was artificially added, allowing for quantitative comparisons with the ground truth, one of the benchmark used in many denoising publications. Here, we check the performances of N2V2, an extension of Noise2Void.</p> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type=inline> <div class="CodeMirror cm-s-jupyter"> <div class=zeroclipboard-container> <clipboard-copy , aria-label="Copy to Clipboard" for=cell-1> <div> <span class=notice hidden>Copied!</span> <svg aria-hidden=true class=clipboard-copy-icon data-view-component=true height=20 version=1.1 viewbox="0 0 16 16" width=20> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill=currentColor fill-rule=evenodd></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill=currentColor fill-rule=evenodd></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class=c1># Imports necessary to execute the code</span>
</style> <div class=jupyter-wrapper> <div class=jp-Notebook data-jp-theme-light=true data-jp-theme-name="JupyterLab Light"> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=8b54d37a"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p> <a href=https://github.com/CAREamics/careamics-examples/blob/main/applications/n2v/2D/BSD68_N2V2.ipynb style="display: inline-flex; align-items: center;"> <img alt="No description has been provided for this image" src=https://raw.githubusercontent.com/CAREamics/careamics.github.io/3bca810be17b0693503615673418d264d1962dac/docs/overrides/.icons/octicons/mark-github.svg style="margin-right: 8px;"> <b>Find me on Github</b> </a> </p> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type=text/markdown> <p>The BSD68 dataset was adapted from K. Zhang et al (TIP, 2017) and is composed of natural images. The noise was artificially added, allowing for quantitative comparisons with the ground truth, one of the benchmark used in many denoising publications. Here, we check the performances of N2V2, an extension of Noise2Void.</p> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class=jp-Cell-inputWrapper tabindex=0> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type=inline> <div class="CodeMirror cm-s-jupyter"> <div class=zeroclipboard-container> <clipboard-copy , aria-label="Copy to Clipboard" for=cell-1> <div> <span class=notice hidden>Copied!</span> <svg aria-hidden=true class=clipboard-copy-icon data-view-component=true height=20 version=1.1 viewbox="0 0 16 16" width=20> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill=currentColor fill-rule=evenodd></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill=currentColor fill-rule=evenodd></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class=c1># Imports necessary to execute the code</span>
<span class=kn>from</span> <span class=nn>pathlib</span> <span class=kn>import</span> <span class=n>Path</span>

<span class=kn>import</span> <span class=nn>matplotlib.pyplot</span> <span class=k>as</span> <span class=nn>plt</span>
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