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v0.0.6 init

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Şefik Serangil 2020-02-15 19:14:51 +03:00
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README.md
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@ -51,15 +51,6 @@ result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", distan
result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", distance_metric = "euclidean_l2")
```
## Verification
Verification function returns a json object including verification result based on found distance and tuned threshold. You can check the verification result by accessing the attribute in the json object.
```python
result = DeepFace.verify("img1.jpg", "img2.jpg")
is_verified = result["verified"]
```
# Facial Attribute Analysis
Deepface also offers facial attribute analysis including [`age`](https://sefiks.com/2019/02/13/apparent-age-and-gender-prediction-in-keras/), [`gender`](https://sefiks.com/2019/02/13/apparent-age-and-gender-prediction-in-keras/), [`emotion`](https://sefiks.com/2018/01/01/facial-expression-recognition-with-keras/) and [`race`](https://sefiks.com/2019/11/11/race-and-ethnicity-prediction-in-keras/) predictions. Analysis function under the DeepFace interface is used to find demography of a face.

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setup.py
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@ -5,7 +5,7 @@ with open("README.md", "r", encoding="utf-8") as fh:
setuptools.setup(
name="deepface",
version="0.0.5",
version="0.0.6",
author="Sefik Ilkin Serengil",
author_email="serengil@gmail.com",
description="Deep Face Anaylsis Framework for Face Recognition and Demography",