face-recognition | 1、基于CNN模型来实现人脸识别 2、基于Flask将人脸识别模型暴露为web服务形式进行调用 | Dataset library
kandi X-RAY | face-recognition Summary
kandi X-RAY | face-recognition Summary
##项目结构介绍 ###config:OpenCV的分类器配置文件 ###data:网络公开的数据集下载 ###dataset:data/中的数据经过标准化处理后存储的目录路径 ###pics:存储结果截图. ##模块介绍 ###getCameraPics.py:基于摄像头视频流数据获取人脸图片并存储 ###dataHelper.py:原始图像数据的预处理工作,负责将原始图像转化为标准数据文件 ###faceRegnigtionModel.py:人脸识别模块,负责构建模型并保存本地,默认为face.h5 ###demoForShow.py:人脸识别展示Demo模块,通过将模型的调用暴露成web服务,实现在浏览器端进行展示 ###cameraDemo.py:调用摄像头来进行实时的人脸数据识别.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Generate camera for screenshots .
- Build the model .
- Build the camera .
- helper function to read all face images
- Reads images from a file .
- get all images in path
- Detects one picture of a given image .
- Extract training data from a file .
- Detects the face of a picture
- Return True if s starts with endstring .
face-recognition Key Features
face-recognition Examples and Code Snippets
Community Discussions
Trending Discussions on face-recognition
QUESTION
I have probem with this code , why ?
the code :
...ANSWER
Answered 2021-Apr-09 at 09:33Use
from tensorflow.keras.
instead of from keras.
QUESTION
I was trying to develop a face recognition attendance system, I coded 100% just like the tutorial, but I still got some errors, here's the code:
...ANSWER
Answered 2021-May-22 at 07:45This line: for (top, right, bottom, left), name in zip(faceLocations, faceNames):
.
Make sure that top, right, bottom, left
values are integer values and not float values. Just print them once to confirm. If they are float values convert them to int using int()
. Like this:
QUESTION
I am using the Facenet algorithm for face recognition. I want to create application based on this, but the problem is the Facenet algorithm returns an array of length 128, which is the face embedding per person.
For person identification, I have to find the Euclidian difference between two persons face embedding, then check that if it is greater than a threshold or not. If it is then the persons are same; if it is less then persons are different.
Let's say If I have to find person x in the database of 10k persons. I have to calculate the difference with each and every person's embeddings, which is not efficient.
Is there any way to store this face embedding efficiently and search for the person with better efficiency?
I guess reading this blog will help the others.
It's in detail and also covers most aspects of implementation.
Face recognition on 330 million faces at 400 images per second
...ANSWER
Answered 2021-May-11 at 05:20Sounds like you want a nearest neighbour search. You could have a look at the various space partitioning data structures like kd-trees
QUESTION
I've build an javascript function with face-api.js for my react component which will return/console me the width and height of face detector box. I tried console.log in few places it seems working fine till the models(face-recognition-model).
But when I write async function for face detector to detect face and console. It gives me error-
...ANSWER
Answered 2021-May-13 at 12:11You need to change the order of function declaration. You can not call const
variables before they were declared.
QUESTION
I am trying to face recognise by python Face-recognition library
I have tried below code for below image
Code :
...ANSWER
Answered 2021-Apr-29 at 08:46Sorry to say but if the face recognition is good it should not recognize cartoon faces, it's designed to recognize human faces and therefore should only tell you how many human faces it is on the image, otherwise it's a bad designed algorithm. If you want a machine-learning algorithm to recognize cartoon faces you would have to train it your self for that specific test.
I did a quick search on google and the first things I found was an article named "Cartoon Face Recognition: A Benchmark Dataset" at https://arxiv.org/pdf/1907.13394.pdf . Maybe you can find an already existing machine-learning algorithm that have been trained to recognize cartoon faces.
Hope this helped and I hope you find what you're looking for.
--------------------------------EDIT--------------------------------
I found these two git repositories, could be worth looking into more
https://github.com/srvCodes/Cartoon-Face-Detection-and-Recognition https://github.com/hako/dissertation
The last link is a link for emotions of cartoon character.
QUESTION
I am trying to make a face_recognition using the face-recognition dlib library, but it gives an error(I am new to python).
...ANSWER
Answered 2021-Feb-24 at 16:26It says that there is no such directory as a.jpg in the "dataset" folder
No, that is not what the error means.
The code is looking for that file in the current directory, not in the dataset folder.
You did call os.listdir(r'/home/pi/Desktop/dataset/')
, but that does not change the current directory.
Use the full pathname to open the file:
QUESTION
I tried to use the API from https://rapidapi.com/lambda/api/face-recognition-and-face-detection/details, and got the response as below
...ANSWER
Answered 2021-Feb-10 at 10:50Your response is JSON, you just need to use json_decode()
function like
QUESTION
I am getting when face_encodings function is being called .
...ANSWER
Answered 2021-Feb-06 at 13:00The issue was the parameter variable which i passed to face_encoding()
correct :
QUESTION
I am changing pandas into cudf to make faster aggregating and reduce the processing speed. I figure out one library which works on GPU with pandas.
"CUDF LINK" https://github.com/rapidsai/cudf
When I entered the below to install in my project it gives an error and I also tried many version of numba.
...ANSWER
Answered 2021-Feb-04 at 13:35When trying to install cuDF 0.13, conda is apparently finding a numba version that is incompatible with that cuDF 0.13.
cuDF 0.13 is out of date. The current stable release is 0.17 and the nightly is 0.18. We'll update the README, as it should provide installation instructions for the current version.
We recommend creating a fresh conda environment. Please try the following conda install command, found here:
QUESTION
Is there a difference between face_recognition.api.face_locations
and face_recognition.face_locations
. The offical documentation explains the use of the former while many example codes use the latter.
ANSWER
Answered 2021-Jan-12 at 06:00if you are willing to use your face recognition program from a api provider like Microsoft, im not really sure(even tho i used the library quite a lot). In another way if you are planning to do the coding and processing on your computer, .api funtion is kind of useless(you wont need it).
Now if you need more inf check out this example that should help you understant the diffrence between the 2 : https://github.com/ageitgey/face_recognition/tree/master/face_recognition
Hope This helped you :)
Feel free to ask any question
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install face-recognition
You can use face-recognition like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page