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Brandon Amos
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@ -10,7 +10,7 @@ We obtain a mean accuracy of 0.8483 ± 0.0172 with an AUC of 0.923.
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For comparison, training with Google-scale data results in an
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accuracy of .9963 ± 0.009.
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This can be generated with the following commands from the root `openface`
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directory, assuming you have downloaded and placed the raw and
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@ -0,0 +1,21 @@
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div.col-md-9 h1:first-of-type {
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text-align: center;
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font-size: 60px;
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font-weight: 300;
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}
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/* div.col-md-9 p:first-of-type { */
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/* text-align: center; */
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/* } */
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/* div.col-md-9 p.admonition-title:first-of-type { */
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/* text-align: left; */
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/* } */
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/* div.col-md-9 h1:first-of-type .headerlink { */
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/* display: none; */
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/* } */
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code.no-highlight {
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color: black;
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}
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@ -5,7 +5,7 @@ for face recognition.
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The source is available in [demos/web](https://github.com/cmusatyalab/openface/blob/master/demos/web).
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<a href='https://www.youtube.com/watch?v=LZJOTRkjZA4'><img src='../../images/youtube-web.gif'></img></a>
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<a href='https://www.youtube.com/watch?v=LZJOTRkjZA4'><img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/youtube-web.gif'></img></a>
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This demo does the full face recognition pipeline on every frame.
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In practice, object tracking
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@ -11,7 +11,7 @@ Eric Clapton were generated with
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| Lennon 1 | Lennon 2 | Clapton 1 | Clapton 2 |
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|---|---|---|---|
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| <img src='../../images/examples/lennon-1.jpg' width='200px'></img> | <img src='../../images/examples/lennon-2.jpg' width='200px'></img> | <img src='../../images/examples/clapton-1.jpg' width='200px'></img> | <img src='../../images/examples/clapton-2.jpg' width='200px'></img> |
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| <img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/examples/lennon-1.jpg' width='200px'></img> | <img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/examples/lennon-2.jpg' width='200px'></img> | <img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/examples/clapton-1.jpg' width='200px'></img> | <img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/examples/clapton-2.jpg' width='200px'></img> |
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The following table shows that a distance threshold of `0.5` would
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distinguish these two people.
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@ -41,7 +41,7 @@ Run the classifier on your images with:
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| Person | Image | Prediction | Confidence |
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|---|---|---|---|
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| Carell | <img src='../../images/examples/carell.jpg' width='200px'></img> | SteveCarell | 0.78 |
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| Adams | <img src='../../images/examples/adams.jpg' width='200px'></img> | AmyAdams | 0.87 |
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| Lennon 1 (Unknown) | <img src='../../images/examples/lennon-1.jpg' width='200px'></img> | DavidBoreanaz | 0.28 |
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| Lennon 2 (Unknown) | <img src='../../images/examples/lennon-2.jpg' width='200px'></img> | DavidBoreanaz | 0.56 |
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| Carell | <img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/examples/carell.jpg' width='200px'></img> | SteveCarell | 0.78 |
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| Adams | <img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/examples/adams.jpg' width='200px'></img> | AmyAdams | 0.87 |
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| Lennon 1 (Unknown) | <img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/examples/lennon-1.jpg' width='200px'></img> | DavidBoreanaz | 0.28 |
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| Lennon 2 (Unknown) | <img src='https://raw.githubusercontent.com/cmusatyalab/openface/master/images/examples/lennon-2.jpg' width='200px'></img> | DavidBoreanaz | 0.56 |
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@ -1,6 +1,9 @@
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# OpenFace
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# OpenFace <iframe src="https://ghbtns.com/github-btn.html?user=cmusatyalab&repo=openface&type=star&count=true&size=large" frameborder="0" scrolling="0" width="160px" height="30px"></iframe>
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<iframe src="https://ghbtns.com/github-btn.html?user=cmusatyalab&repo=openface&type=star&count=true&size=large" frameborder="0" scrolling="0" width="160px" height="30px"></iframe>
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<center>
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*Free and open source face recognition with
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Google's FaceNet deep neural network.*
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</center>
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---
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@ -82,7 +85,7 @@ image of Sylvestor Stallone from the publicly available
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See below for our examples for classification and
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similarity detection, including an online web demo.
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# What's in this repository?
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+ [batch-represent](https://github.com/cmusatyalab/openface/tree/master/batch-represent): Generate representations from
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@ -34,4 +34,4 @@ Our `nn4.v1` model is from epoch 177.
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The LFW section above shows that this model obtains a mean
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accuracy of 0.8483 ± 0.0172 with an AUC of 0.923.
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@ -7,11 +7,11 @@ in the training and testing dataset with the most images.
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**Training**
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**Testing**
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These can be generated with the following commands from the root
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`openface` directory.
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@ -37,5 +37,5 @@ The following shows the first 39 filters of the
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first convolutional layer on two images
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of John Lennon.
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27
mkdocs.yml
27
mkdocs.yml
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@ -1,18 +1,19 @@
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site_name: OpenFace
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docs_dir: '.'
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site_dir: /tmp/openfacesite
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repo_url: https://github.com/cmusatyalab/openface
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theme: readthedocs
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#theme: readthedocs
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copyright: 'Crafted by <a href="http://bamos.github.io">Brandon Amos</a> at Carnegie Mellon University'
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theme: simplex
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extra_css:
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- css/extra.css
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pages:
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- Home: docs/index.md
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- Home: index.md
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- Demos:
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- 1 - Real-time Web: docs/demo-1-web.md
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- 2 - Comparison: docs/demo-2-comparison.md
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- 3 - Classifier: docs/demo-3-classifier.md
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- Accuracy: docs/accuracy.md
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- Usage: docs/usage.md
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- Models: docs/models.md
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- DNN Training: docs/training-new-models.md
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- Visualizations: docs/visualizations.md
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- Setup: docs/setup.md
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- 1 - Real-time Web: demo-1-web.md
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- 2 - Comparison: demo-2-comparison.md
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- 3 - Classifier: demo-3-classifier.md
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- Accuracy: accuracy.md
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- Usage: usage.md
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- Models: models.md
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- DNN Training: training-new-models.md
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- Visualizations: visualizations.md
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- Setup: setup.md
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