From afc967f0f6a7c09babeacf8f52057d0f02a42f90 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C5=9Eefik=20Serangil?= Date: Sat, 15 Feb 2020 19:14:51 +0300 Subject: [PATCH] v0.0.6 init --- README.md | 9 --------- setup.py | 2 +- 2 files changed, 1 insertion(+), 10 deletions(-) diff --git a/README.md b/README.md index e979531..81cf6f0 100644 --- a/README.md +++ b/README.md @@ -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. diff --git a/setup.py b/setup.py index b68f678..ef7ec84 100644 --- a/setup.py +++ b/setup.py @@ -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",