results = face_recognition.compare_faces([my_face_encoding], unknown_face_encoding) end = time.clock() print(end - start) if results[0]: print("迪丽热巴") 视频中实时人脸识别 通过openCV获取实时视频,从视频中抽帧获取照片来进行识别,识别以后再通过openCV显示。 import face_recognition import cv2 # ...
与上篇通过摄像头动态识别人脸一样,先下载好opencv-python、face-recognition,这里因为使用的是照片对比的方式,特意使用tkinter画了一个简单的GUI方便操作。 在python 3以上版本tkinter是环境自带的,所以这里不需要安装 2.代码示例 importos importcv2 importnumpyasnp importface_recognition importtkinterastk importtkinter...
通过face-recognition 指定人脸库 通过opencv 控制摄像头 通过opencv 获取每一帧,对每一帧进行人脸比对 代码 importcv2importnumpyasnpimportface_recognition# 打开摄像头cap=cv2.VideoCapture(0)# 简单人脸库设置image1=face_recognition.load_image_file("obama.jpg")image2=face_recognition.load_image_file("biden....
opencv 侧脸 opencv face recognition 源代码在 .\opencv_contrib-3.4.3\modules\face\src中 Opencv实现 从OpenCV2.4开始,加入新的类FaceRecognizer,可以用它方便的进行人脸识别实验。 人脸识别的任务也就是两大部分,训练和预测,分别对应着train函数和predict函数,还有对应的数据加载保存函数save和load。 先来说说训练的...
首先是要导入的模块,cv2就是opencv,用来调用摄像头以及进行一些处理。face_recognition用来实现人脸识别,os用来实现获取摄像头出现的人脸的名字。 import face_recognition import cv2 import os 接下来是数据预处理。 camera = cv2.VideoCapture(0) font = cv2.FONT_HERSHEY_DUPLEX ...
draw.text((left+6, bottom-text_height-3), name, fill=(255,255,255,255))# Remove the drawing library from memory as per the Pillow docsdeldraw# Display the resulting imagepil_image.show() ②使用opencv库#使用opencv库importface_recognitionimportcv2# 人物名称的集合known_face_names = ["first...
Step 4. face_recognition face_recognition is a Pythonlibrary built on dlib’s facial recognition functionalities. It provides simple and easy-to-use face detection and recognition using opencv with recognition interfaces, making it a popular choice for developers. ...
使用OpenCV 调用摄像头 importface_recognitionimportcv2 video_capture=cv2.VideoCapture(0)#VideoCapture打开摄像头,0为笔记本内置摄像头,1为外USB摄像头,或写入视频路径mayun_img = face_recognition.load_image_file("mayun.jpg") jobs_img= face_recognition.load_image_file("jobs.jpg") ...
libfacerec is a library for face recognition in OpenCV. It has been merged into OpenCV 2.4 (contrib module) and both implementations are synchronized. So if you are in (a recent) OpenCV 2.4: There is no need to compile libfacerec yourself, you have everything to get started. Note: Make...
(train_dir):ifnot os.path.isdir(os.path.join(train_dir,class_dir)):continue# 循环遍历当前训练集中的每个人forimg_pathinimage_files_in_folder(os.path.join(train_dir,class_dir)):image=face_recognition.load_image_file(img_path)face_bounding_boxes=face_recognition.face_locations(image)iflen(...