github/deepface
1
1
Fork 0
mirror of https://github.com/serengil/deepface.git synced 2025-06-07 20:15:21 +00:00
Code Issues Packages Projects Releases Wiki Activity

analysis test case

Browse Source
This commit is contained in:
Sefik Ilkin Serengil 2020-03-23 08:42:51 +03:00 committed by GitHub
parent d4c9f24d39
commit bc8c551f12
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 2 additions and 30 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

32
README.md
View File

@ -65,7 +65,7 @@ result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", distan
# Facial Attribute Analysis # 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. 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/) (including angry, fear, neutraş, sad, disgust, happy and surprise )and [`race`](https://sefiks.com/2019/11/11/race-and-ethnicity-prediction-in-keras/) (including asian, white, middle eastern, indian, latino and black) predictions. Analysis function under the DeepFace interface is used to find demography of a face.
```python ```python
from deepface import DeepFace from deepface import DeepFace
@ -79,35 +79,7 @@ print("Emotion: ", demography["dominant_emotion"])
print("Emotion: ", demography["dominant_race"]) print("Emotion: ", demography["dominant_race"])
``` ```
<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/tests/dataset/test-case-1.jpg" width="20%" height="20%"></p> <p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/tests/dataset/test-case-3.jpg" width="80%" height="80%"></p>
Analysis function returns a json object.
```json
{
"age": 32.49221594557578,
"gender": "Woman",
"race": {
"asian": 3.928472101688385,
"white": 55.44567108154297,
"middle eastern": 15.896821022033691,
"indian": 3.050043433904648,
"latino hispanic": 20.90577930212021,
"black": 0.7732132915407419
},
"dominant_race": "white",
"emotion": {
"angry": 3.1055836006999016,
"fear": 1.1844050139188766,
"neutral": 86.2661361694336,
"sad": 7.137920707464218,
"disgust": 0.0001227657776325941,
"happy": 2.245445176959038,
"surprise": 0.06038688006810844
},
"dominant_emotion": "neutral"
}
```
# Installation # Installation