The neural net is equivalent to theFaceRecognizerNetused inface-recognition.jsand the net used in thedlibface recognition example. The weights have been trained bydaviskingand the model achieves a prediction accuracy of 99.38% on the LFW (Labeled Faces in the Wild) benchmark for face recognition...
Age Estimation & Gender Recognition Running the Examples Clone the repository: git clone https://github.com/justadudewhohacks/face-api.js.git Running the Browser Examples cd face-api.js/examples/examples-browser npm i npm start Browse to http://localhost:3000/. Running the Nodejs Examples cd...
现在,我们可以将提取出的对齐后的人脸图像输入到人脸识别网络中,该网络基于一个类似于 ResNet-34 的架构,基本上与 dlib(https://github.com/davisking/dlib/blob/master/examples/dnn_face_recognition_ex.cpp)中实现的架构一致。该网络已经被训练去学习出人脸特征到人脸描述符的映射(一个包含 128 个值的特征向量...
现在,我们可以将提取出的对齐后的人脸图像输入到人脸识别网络中,该网络基于一个类似于 ResNet-34 的架构,基本上与 dlib(https://github.com/davisking/dlib/blob/master/examples/dnn_face_recognition_ex.cpp)中实现的架构一致。该网络已经被训练去学习出人脸特征到人脸描述符的映射(一个包含 128 个值的特征向量...
现在,我们可以将提取出的对齐后的人脸图像输入到人脸识别网络中,该网络基于一个类似于 ResNet-34 的架构,基本上与 dlib(https://github.com/davisking/dlib/blob/master/examples/dnn_face_recognition_ex.cpp)中实现的架构一致。该网络已经被训练去学习出人脸特征到人脸描述符的映射(一个包含 128 个值的特征向量...
现在,我们可以将提取出的对齐后的人脸图像输入到人脸识别网络中,该网络基于一个类似于 ResNet-34 的架构,基本上与 dlib(https://github.com/davisking/dlib/blob/master/examples/dnn_face_recognition_ex.cpp)中实现的架构一致。该网络已经被训练去学习出人脸特征到人脸描述符的映射(一个包含 128 个值的特征向量...
▌第一个人脸识别包 face-recognition.js,现在又来了一个包? 如果读过我的另一篇关于人脸识别的文章 Node.js + face-recognition.js : Simple and Robust Face Recognition using Deep Learning,你可能会了解到在不久前,我组装了一个类似的包, face-recognition.js,用 nodejs 来进行人脸识别。
▌第一个人脸识别包 face-recognition.js,现在又来了一个包? 如果读过我的另一篇关于人脸识别的文章 Node.js + face-recognition.js : Simple and Robust Face Recognition using Deep Learning,你可能会了解到在不久前,我组装了一个类似的包, face-recognition.js,用 nodejs 来进行人脸识别。
(url); let operationID = result.operationLocation.split('/').slice(-1)[0]; // Wait for read recognition to complete // result.status is initially undefined, since it's the result of read const start = Date.now(); console.log(`${start} -${result?....
(url); let operationID = result.operationLocation.split('/').slice(-1)[0]; // Wait for read recognition to complete // result.status is initially undefined, since it's the result of read const start = Date.now(); console.log(`${start} -${result?.status}...