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@ -46,7 +46,7 @@ A modern [**face recognition pipeline**](https://sefiks.com/2020/05/01/a-gentle-
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**Face Verification** - [`Demo`](https://youtu.be/KRCvkNCOphE)
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This function verifies face pairs as same person or different persons. It expects exact image paths as inputs. Passing numpy or based64 encoded images is also welcome. Then, it is going to return a dictionary and you should check just its verified key.
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This function verifies face pairs as same person or different persons. It expects exact image paths as inputs. Passing numpy or base64 encoded images is also welcome. Then, it is going to return a dictionary and you should check just its verified key.
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```python
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result = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg")
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@ -181,7 +181,7 @@ You can find out more about RetinaFace on this [repo](https://github.com/serengi
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**Real Time Analysis** - [`Demo`](https://youtu.be/-c9sSJcx6wI)
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You can run deepface for real time videos as well. Stream function will access your webcam and apply both face recognition and facial attribute analysis. The function starts to analyze a frame if it can focus a face sequantially 5 frames. Then, it shows results 5 seconds.
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You can run deepface for real time videos as well. Stream function will access your webcam and apply both face recognition and facial attribute analysis. The function starts to analyze a frame if it can focus a face sequentially 5 frames. Then, it shows results 5 seconds.
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```python
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DeepFace.stream(db_path = "C:/User/Sefik/Desktop/database")
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