docs: deploy from e588597

best-model/index.html

@@ -835,7 +835,7 @@ image count.</p>
 <h2 id="first-signal-calibration-curves">First signal: calibration curves<a class="headerlink" href="#first-signal-calibration-curves" title="Permanent link">&para;</a></h2>
 <p>Each gallery carries a fitted Platt sigmoid <code>P(match | cosine similarity) =
 σ(a·sim + b)</code>, stored directly in the gallery HDF5
-(<a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction/raw/commit/0bd27470698c45cab21935d636a04512360e1008/src/gallery/gallery_calibration.hpp"><code>src/gallery/gallery_calibration.hpp</code></a>).
+(<a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction/raw/commit/e5885977dfd04741a0d1bb7aaf0270d9c40a2fa8/src/gallery/gallery_calibration.hpp"><code>src/gallery/gallery_calibration.hpp</code></a>).
 This is a property of the embedding space alone, computed from intra- and
 inter-actor reference-image pairs with no tracking or scene logic involved,
 so it is a clean first read on discriminative power before running a
@@ -1032,7 +1032,7 @@ lead here is a precision-and-recall lead, not a misID one.</p>
 is model-specific, since embeddings from different models are not
 comparable. Any existing gallery built against a different model must be
 rebuilt from source images before the new default takes effect.
-<a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction/raw/commit/0bd27470698c45cab21935d636a04512360e1008/scripts/optimizer/reembed_gallery.py"><code>scripts/optimizer/reembed_gallery.py</code></a>
+<a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction/raw/commit/e5885977dfd04741a0d1bb7aaf0270d9c40a2fa8/scripts/optimizer/reembed_gallery.py"><code>scripts/optimizer/reembed_gallery.py</code></a>
 does this from a reference gallery's cached source images without
 re-downloading anything.</p>