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tutorial for similarity metrics
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Sefik Ilkin Serengil 2024-06-21 14:42:16 +01:00 committed by GitHub
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@ -165,7 +165,7 @@ FaceNet, VGG-Face, ArcFace and Dlib are overperforming ones based on experiments
Conducting experiments with those models within DeepFace may reveal disparities compared to the original studies, owing to the adoption of distinct detection or normalization techniques. Furthermore, some models have been released solely with their backbones, lacking pre-trained weights. Thus, we are utilizing their re-implementations instead of the original pre-trained weights.
**Similarity**
**Similarity** - [`Demo`](https://youtu.be/1EPoS69fHOc)
Face recognition models are regular [convolutional neural networks](https://sefiks.com/2018/03/23/convolutional-autoencoder-clustering-images-with-neural-networks/) and they are responsible to represent faces as vectors. We expect that a face pair of same person should be [more similar](https://sefiks.com/2020/05/22/fine-tuning-the-threshold-in-face-recognition/) than a face pair of different persons.
@ -360,7 +360,7 @@ $ deepface analyze -img_path tests/dataset/img1.jpg
You can also run these commands if you are running deepface with docker. Please follow the instructions in the [shell script](https://github.com/serengil/deepface/blob/master/scripts/dockerize.sh#L17).
**React UI** - [`Facial Recognition Demo`](https://youtu.be/IXoah6rhxac), [`Facial Attribute Analysis Demo`](https://youtu.be/_waBA-cH2D4)
**React UI** - [`Demo part-i`](https://youtu.be/IXoah6rhxac), [`Demo part-ii`](https://youtu.be/_waBA-cH2D4)
If you intend to perform face verification tasks directly from your browser, [deepface-react-ui](https://github.com/serengil/deepface-react-ui) is a separate repository built using ReactJS.