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Merge pull request #1205 from reece-iriye/master

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Sefik Ilkin Serengil 2024-04-23 08:04:07 +01:00 committed by GitHub
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@ -91,7 +91,7 @@ This function returns an array as embedding. The size of the embedding array wou
```python
embedding = embedding_objs[0]["embedding"]
assert isinstance(embedding, list)
assert model_name = "VGG-Face" and len(embedding) == 4096
assert model_name == "VGG-Face" and len(embedding) == 4096
```
Here, embedding is also [plotted](https://sefiks.com/2020/05/01/a-gentle-introduction-to-face-recognition-in-deep-learning/) with 4096 slots horizontally. Each slot is corresponding to a dimension value in the embedding vector and dimension value is explained in the colorbar on the right. Similar to 2D barcodes, vertical dimension stores no information in the illustration.