dlib.DLIB_USE_CUDA# True 表示可以使用 GPU 使用dlib 进行人脸检测 importdlib face_detector = dlib.get_frontal_face_detector()# 仅利用 CPU,即使 dlib.DLIB_USE_CUDA=Truecnn_face_detector = dlib.cnn_face_detection_model_v1(filename="mmod_human_face_detector.dat")# CNN-based 方法,可以利用 GP...
8. cnn_face_detector = dlib.cnn_face_detection_model_v1( 9. 'mmod_human_face_detector.dat' ) 10. # Function to detect and show faces in images 11. def detect_face_dlib(img_path, ax): 12. # Read image and run algorithm 13. img = io.imread(img_path) 14. dets = cnn_face_d...
import dlibimport matplotlib.patchesaspatchesimport matplotlib.pyplotaspltfrompathlib import Pathfromskimage import io%matplotlib inline#Loadtrained modelcnn_face_detector = dlib.cnn_face_detection_model_v1('mmod_human_face_detector.dat')#Functiontodetectandshow facesinimagesdef detect_face_dlib(img_pa...
cnn_face_detector = dlib.cnn_face_detection_model_v1( 'mmod_human_face_detector.dat') # Function to detect and show faces in images def detect_face_dlib(img_path, ax): # Read image and run algorithm img = io.imread(img_path) dets = cnn_face_detector(img, 1) # If there were f...
2)基于Max-Margin (MMOD) CNN的 face detector:调用dlib.cnn_face_detection_model_v1(modelPath)函数 直接上CNN进行人脸识别模型的训练,然后进行推理。特点:不使用GPU的话推理速度慢一些,但更加robust,能对有旋转的图进行较好特征提取,从而更准确检测到。
2.2. CNN 人脸框及人脸关键点检测 代码语言:javascript 复制 #!/usr/bin/python#-*-coding:utf-8-*-importsysimportosimportdlib # 加载预训练人脸检测CNN模型 cnn_face_model="mmod_human_face_detector.dat"cnn_face_detector=dlib.cnn_face_detection_model_v1(cnn_face_model)# 加载人脸关键点检测模型 ...
The code is similar to the HoG detector except that, in this case, we load the CNN face detection model. Also, the coordinates are present inside a rect object.ProsWorks for different face orientations Robust to occlusion Works very fast on GPU Very easy training processCons...
facerec = dlib.face_recognition_model_v1('dlib_face_recognition_resnet_model_v1.dat') 上面代码中的模型参数可以到这里下载:http://dlib.net/files/。detector是使用卷积神经网络(CNN)进行人脸检测的检测算子,当然如果你使用CNN的话需要使用GPU加速,否则速度会超级慢。也可以使用另一种方法,即HOG特征级联分类...
cnn_face_detector = dlib.cnn_face_detection_model_v1('./mmod_human_face_detector.dat') win = dlib.image_window() path='./7person.jpg' print("处理文件中: {}".format(path)) img = dlib.load_rgb_image(path) dets = cnn_face_detector(img, 1)#1表示将图片放大一倍,以便检测到更多的人...
dnn_age_predictor_v1.dat.bz2 The initial source for the model's creation came from the document of Z. Qawaqneh et al.: "Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model". However, our research has led us to significant improvements in the CNN model, allowing...