Bump numpy from 1.23.5 to 1.24.0
diff --git a/Hand-Motion-Detection/requirements.txt b/Hand-Motion-Detection/requirements.txt
index d57a0682f9..ba4ba8692a 100644
--- a/Hand-Motion-Detection/requirements.txt
+++ b/Hand-Motion-Detection/requirements.txt
@@ -1,3 +1,3 @@
-numpy==1.23.5
+numpy==1.24.0
 opencv_python==4.6.0.66
 mediapipe==0.9.0.1

Bumps [numpy](https://github.com/numpy/numpy) from 1.23.5 to 1.24.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/numpy/numpy/releases">numpy's releases</a>.</em></p>
<blockquote>
<h2>v1.24.0</h2>
<h1>NumPy 1.24 Release Notes</h1>
<p>The NumPy 1.24.0 release continues the ongoing work to improve the
handling and promotion of dtypes, increase the execution speed, and
clarify the documentation. There are also a large number of new and
expired deprecations due to changes in promotion and cleanups. This
might be called a deprecation release. Highlights are</p>
<ul>
<li>Many new deprecations, check them out.</li>
<li>Many expired deprecations,</li>
<li>New F2PY features and fixes.</li>
<li>New &quot;dtype&quot; and &quot;casting&quot; keywords for stacking functions.</li>
</ul>
<p>See below for the details,</p>
<p>This release supports Python versions 3.8-3.11.</p>
<h2>Deprecations</h2>
<h3>Deprecate fastCopyAndTranspose and PyArray_CopyAndTranspose</h3>
<p>The <code>numpy.fastCopyAndTranspose</code> function has been deprecated. Use the
corresponding copy and transpose methods directly:</p>
<pre><code>arr.T.copy()
</code></pre>
<p>The underlying C function <code>PyArray_CopyAndTranspose</code> has also been
deprecated from the NumPy C-API.</p>
<p>(<a href="https://github-redirect.dependabot.com/numpy/numpy/pull/22313">gh-22313</a>)</p>
<h3>Conversion of out-of-bound Python integers</h3>
<p>Attempting a conversion from a Python integer to a NumPy value will now
always check whether the result can be represented by NumPy. This means
the following examples will fail in the future and give a
<code>DeprecationWarning</code> now:</p>
<pre><code>np.uint8(-1)
np.array([3000], dtype=np.int8)
</code></pre>
<p>Many of these did succeed before. Such code was mainly useful for
unsigned integers with negative values such as <code>np.uint8(-1)</code> giving
<code>np.iinfo(np.uint8).max</code>.</p>
<p>Note that conversion between NumPy integers is unaffected, so that
<code>np.array(-1).astype(np.uint8)</code> continues to work and use C integer
overflow logic. For negative values, it will also work to view the
array: <code>np.array(-1, dtype=np.int8).view(np.uint8)</code>. In some cases,</p>
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</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/numpy/numpy/commit/8cec82012694571156e8d7696307c848a7603b4e"><code>8cec820</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22813">#22813</a> from charris/prepare-1.24.0-release</li>
<li><a href="https://github.com/numpy/numpy/commit/8d33e689cfa2a6153d716b76f6c3f8d6ae06b4b2"><code>8d33e68</code></a> REL: Prepare for the NumPy 1.24.0 release.</li>
<li><a href="https://github.com/numpy/numpy/commit/5ac09da28abacd6f9eed4971b8e7eb6d0b6334a4"><code>5ac09da</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22815">#22815</a> from charris/backport-22814</li>
<li><a href="https://github.com/numpy/numpy/commit/df2d26fda121e5204771dc143d1d96d0d0107f71"><code>df2d26f</code></a> BLD: use newer version of delocate</li>
<li><a href="https://github.com/numpy/numpy/commit/e18104ecc14f734076d0e24f25766e9f15792c7c"><code>e18104e</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22805">#22805</a> from charris/backport-22804</li>
<li><a href="https://github.com/numpy/numpy/commit/6d444245087fa0166749d8dbc780b5e82b98e6f4"><code>6d44424</code></a> REV: revert change to <code>numpyconfig.h</code> for sizeof(type) hardcoding on macOS</li>
<li><a href="https://github.com/numpy/numpy/commit/c48459319ac837b6539d4f4f16de3de711d24672"><code>c484593</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22795">#22795</a> from charris/backport-22791</li>
<li><a href="https://github.com/numpy/numpy/commit/0904c01d3f608f22a27327adf29a06615184be45"><code>0904c01</code></a> Change argument to npy_floatstatus_..._barrier() functions to ensure it</li>
<li><a href="https://github.com/numpy/numpy/commit/34653f92760b8dad7c5db9a176b5325cc8074924"><code>34653f9</code></a> Merge pull request <a href="https://github-redirect.dependabot.com/numpy/numpy/issues/22793">#22793</a> from charris/backport-22789</li>
<li><a href="https://github.com/numpy/numpy/commit/21f7096ed9d274f95a9611f374227587f2fce377"><code>21f7096</code></a> BUG: Fix infinite recursion in longdouble/large integer scalar ops</li>
<li>Additional commits viewable in <a href="https://github.com/numpy/numpy/compare/v1.23.5...v1.24.0">compare view</a></li>
</ul>
</details>
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