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[TOC]
newlandface 是一个轻量级的人脸检测和多属性分析（年龄、性别、标签）分析工具，使用python语言，集成了部分开源库Dlib、mtcnn等工具，该库主要是基于Keras和TensorFlow来进行开发的。
The easiest way to install newlandface is to download it from PyPI.
pip install newlandface│ README.md │ requirements.txt │ setup.py │
├─newlandface │ │ nlface.py │ │ init.py │ │
│ ├─basemodels │ │ │ DeepID.py │ │ │ DlibResNet.py │ │ │ Facenet.py │ │ │ FbDeepFace.py │ │ │ OpenFace.py │ │ │ VGGFace.py │ │ │ init.py │ │
│ ├─commons │ │ │ distance.py │ │ │ functions.py │ │ │ realtime.py │ │ │ init.py │ │
│ ├─extendedmodels │ │ │ Age.py │ │ │ Emotion.py │ │ │ Gender.py │ │ │ Race.py │ │ │ init.py │ │
│ ├─models │ │ face-recognition-ensemble-model.txt │ │ init.py │
└─tests │ testFaceAttr_video.py │ testFaceDetect_img.py │ testFacePoints_img.py │
└─dataset img1.jpg img13.jpg img14.jpg ...
前提：D:\newlandface\weights 里面要先下载好模型
from newlandface import nlface
import cv2
# 模型加载
nlface.load_model()
image = cv2.imread("./dataset/test1.jpg")
# 人脸检测
faceObjs = nlface.detect_face(image)
# 显示人脸框
if faceObjs is not 0:
for idx, rect in enumerate(faceObjs):
image = nlface.show_face(image,rect)
else:
print("no face detect")
os._exit(0)
cv2.imshow("test",image)
cv2.waitKey()
核心函数：detect_face、show_face_points
from newlandface import nlface
import cv2
cv2.namedWindow("test",0)
# 模型加载
nlface.load_model()
image = cv2.imread("./dataset/test1.jpg")
# 人脸检测
faceObjs = nlface.detect_face(image)
# 显示人脸框
if faceObjs is not 0:
for idx, rect in enumerate(faceObjs):
image = nlface.show_face_points(image,rect)
else:
print("no face detect")
os._exit(0)
cv2.imshow("test",image)
cv2.waitKey()核心函数：detect_face、detect_points、show_face
from newlandface import nlface
import cv2
cv2.namedWindow("test",0)
# 模型加载
nlface.load_model()
image = cv2.imread("./dataset/test1.jpg")
# 人脸检测
faceObjs = nlface.detect_face(image)
if faceObjs is not 0:
for idx, rect in enumerate(faceObjs):
# 人脸68点检测
points = nlface.detect_points(image,rect)
# 显示人脸框、68点
image = nlface.show_face(image,rect)
for i,point in enumerate(points):
cv2.circle(image,(point[0],point[1]),2,(0,0,255),-1)
cv2.imshow("test",image)
cv2.waitKey(1)
else:
print("no face detect")
os._exit(0)
cv2.imshow("test",image)
cv2.waitKey()
核心函数：detect_face、detect_points、show_face
属性开放：emotion(表情)、age（年龄）、gender（性别）
| 属性 | 检测耗时 | 标签类型 |
|---|---|---|
| emotion表情 | 30ms | ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'] |
| age年龄 | 130ms | 1-100 |
| gender性别 | 170ms | woman、man |
注意：不同的模块耗时不一，所以如果调用摄像头的时候，要注意实时性上的要求。
from newlandface import nlface
import cv2
cv2.namedWindow("test",0)
# 模型加载
nlface.load_model()
image = cv2.imread("./dataset/test1.jpg")
# 人脸检测
faceObjs = nlface.detect_face(image)
if faceObjs is not 0:
for idx, rect in enumerate(faceObjs):
# 人脸属性分析
actions = ['emotion', 'age', 'gender']
attribute = nlface.analyze(image, faceObjs[idex],actions = actions)
# 显示人脸框\属性
image = nlface.show_face(image,rect)
image = nlface.show_face_attr(image, faceObjs[idex], attribute, actions)
cv2.imshow("test",image)
cv2.waitKey(1)
else:
print("no face detect")
os._exit(0)
cv2.imshow("test",image)
cv2.waitKey()