importface_recognition # 通过PIL加载图片 image = face_recognition.load_image_file("test_img/obama.jpg") # 基于cnn识别人脸,是否使用gpu看装机环境 face_locations = face_recognition.face_locations(image, number_of_times_to_upsample=0, model="cnn") print("I found {} face(s) in this photograph...
image = face_recognition.load_image_file("test_img/obama.jpg") # 基于hog机器学习模型进行人脸识别,不能使用gpu加速 face_locations = face_recognition.face_locations(image) # 找到几张人脸 print("I found {} face(s) in this photograph.".format(len(face_locations))) for face_location in face_...
image=face_recognition.load_image_file("lyf1.jpg")face_locations_useCNN=face_recognition.face_locations(image,model='cnn')# model – Which face detection model to use.“hog” is less accurate but faster on CPUs.# “cnn” is a more accurate deep-learning model which isGPU/CUDAaccelerated(i...
一、安装相关包 这里需要的环境首先python是必须的,然后需要安装dlib、face_recognition。如果你不熟悉dlib,那么可以参考下面的链接。包含机器学习和计算机视觉的Dlib算法库简介 face_recognition是世界上最简单的人脸识别库,使用 dlib 最先进的深度学习人脸识别技术构建。 该模型的准确率为 99.38%。二、获取人脸的128...
通过face_recognition库实现人脸识别 代码如下 # -*- coding: UTF-8 -*- import face_recognition import cv2 import os # 这是一个超级简单(但很慢)的例子,在你的网络摄像头上实时运行人脸识别 # PLEASE NOTE: This example requires OpenCV (the `cv2` library) to be installed only to read from your...
篇幅所限,就举两张人脸的例子了,本程序需要安装face_recognition 下面是全部源代码: importface_recognitionfromPILimportImage, ImageDraw# This is an example of running face recognition on a single image# and drawing a box around each person that was identified.# Load a sample picture and learn how...
通过face_recognition库实现人脸识别 代码如下 其次还要准备一个images文件夹进行摄像头的人脸比对 成功的效果图我就不贴了。 原理如下: 1.遍历images文件中的图片 2.提取特征脸 3.摄像头每帧提取图片,提取特诊脸 4.遍历特征列表,找出符合特征脸 5.输出名字 ...
faceRecognition_knn knn_example下分了三个图片集合: 2.model test : 测试图片 train :训练集图片(图片集合是在网上下载的) train1 :也是训练集图片(将train训练集图片拆分了的,集合比较小 trained_knn_model.clf (保存的是knn分类器训练之后的模型,主要的是图片集合中图片的编码特征) ...
最近在做人脸识别,就先拿简单的face_recognition练下手。face_recognition是基于dlib开发的一个开源人脸识别库,所以也可以直接用dlib开发人脸...
biden_image=face_recognition.load_image_file("biden.jpg") obama_image=face_recognition.load_image_file("obama.jpg") unknown_image=face_recognition.load_image_file("obama2.jpg") #Getthe face encodingsforeachfaceineachimage file # Since there could be more thanonefaceineachimage, itreturnsa lis...