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some more linting on readme code

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Sefik Ilkin Serengil 2024-05-05 07:50:30 +01:00 committed by GitHub
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@ -100,7 +100,10 @@ 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.
@ -140,8 +143,9 @@ dfs = DeepFace.find(
)
#embeddings
embedding_objs = DeepFace.represent(img_path = "img.jpg",
model_name = models[2]
embedding_objs = DeepFace.represent(
img_path = "img.jpg",
model_name = models[2]
)
```