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@ -98,7 +98,8 @@ embedding_objs = DeepFace.represent(
This function returns an array as embedding. The size of the embedding array would be different based on the model name. For instance, VGG-Face is the default model and it represents facial images as 4096 dimensional vectors. This function returns an array as embedding. The size of the embedding array would be different based on the model name. For instance, VGG-Face is the default model and it represents facial images as 4096 dimensional vectors.
```python ```python
embedding = embedding_objs[0]["embedding"] for embedding_obj in embedding_objs:
embedding = embedding_obj["embedding"]
assert isinstance(embedding, list) assert isinstance(embedding, list)
assert ( assert (
model_name == "VGG-Face" model_name == "VGG-Face"