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title: Deploy tools for CV applications

keywords: fastai

sidebar: home_sidebar

nb_path: "nbs\52_deploy_cv.ipynb"

---

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<h1 id="Functions-to-load-Learner-and-images">Functions to load Learner and images<a class="anchor-link" href="#Functions-to-load-Learner-and-images"> </a></h1><p>To be used in Streamlit app</p>

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<h4 id="get_learner" class="doc_header"><code>get_learner</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/cv.py#L43" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>get_learner</code>(<strong><code>model_path</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>])</p>

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<h4 id="get_image" class="doc_header"><code>get_image</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/cv.py#L72" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>get_image</code>(<strong><code>img</code></strong>:<code>Union</code>[<code>Path</code>, <code>str</code>])</p>

<p>Get picture from either a path or URL</p>

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<p>We also need a dummy function to make it easier to load a model

when we don't know the implementation of some functions previously defined (like labelling function)</p>

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<h4 id="dummy_function" class="doc_header"><code>dummy_function</code><a href="https://github.com/unpackai/unpackai/tree/master/unpackai/deploy/cv.py#L90" class="source_link" style="float:right">[source]</a></h4><blockquote><p><code>dummy_function</code>(<strong>*<code>args</code></strong>, <strong>**<code>kwargs</code></strong>)</p>

<p>Function that does absolutely nothing</p>

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<p>Note: we should try to see if just setting the missing pieces to <code>None</code> would work.</p>

<p>That would make it easier</p>