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Şefik Serangil 2020-06-16 23:53:12 +03:00
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README.md
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@ -57,10 +57,10 @@ df = DeepFace.find(img_path = "img1.jpg", db_path = "C:/workspace/my_db")
**Supported face recognition models** **Supported face recognition models**
Face recognition can be handled by different models. Currently, [`VGG-Face`](https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/) , [`Google FaceNet`](https://sefiks.com/2018/09/03/face-recognition-with-facenet-in-keras/), [`OpenFace`](https://sefiks.com/2019/07/21/face-recognition-with-openface-in-keras/) and [`Facebook DeepFace`](https://sefiks.com/2020/02/17/face-recognition-with-facebook-deepface-in-keras/) models are supported in deepface. The default configuration verifies faces with **VGG-Face** model. You can set the base model while verification as illustared below. Accuracy and speed show difference based on the performing model. Face recognition can be handled by different models. Currently, [`VGG-Face`](https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/) , [`Google FaceNet`](https://sefiks.com/2018/09/03/face-recognition-with-facenet-in-keras/), [`OpenFace`](https://sefiks.com/2019/07/21/face-recognition-with-openface-in-keras/), [`Facebook DeepFace`](https://sefiks.com/2020/02/17/face-recognition-with-facebook-deepface-in-keras/) and [`DeepID`](https://sefiks.com/2020/06/16/face-recognition-with-deepid-in-keras/) models are supported in deepface. The default configuration verifies faces with **VGG-Face** model. You can set the base model while verification as illustared below. Accuracy and speed show difference based on the performing model.
```python ```python
models = ["VGG-Face", "Facenet", "OpenFace", "DeepFace"] models = ["VGG-Face", "Facenet", "OpenFace", "DeepFace", "DeepID"]
for model in models: for model in models:
result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = model) result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = model)
``` ```
@ -77,7 +77,7 @@ The complexity and response time of each face recognition model is different so
You can build a face recognition model once and pass this to verify function as well. This might be logical if you need to call verify function several times. You can build a face recognition model once and pass this to verify function as well. This might be logical if you need to call verify function several times.
```python ```python
from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace, DeepID
model = VGGFace.loadModel() #all face recognition models have loadModel() function in their interfaces model = VGGFace.loadModel() #all face recognition models have loadModel() function in their interfaces
DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", model = model) DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", model = model)
``` ```

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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( setuptools.setup(
name="deepface", name="deepface",
version="0.0.29", version="0.0.30",
author="Sefik Ilkin Serengil", author="Sefik Ilkin Serengil",
author_email="serengil@gmail.com", author_email="serengil@gmail.com",
description="A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python", description="A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python",