Face-Recognition | Java application for Face Recognition
kandi X-RAY | Face-Recognition Summary
kandi X-RAY | Face-Recognition Summary
A Java application for face recognition under expressions, occlusions and pose variations.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Perform the action
- Recognise image
- Load a file image
- Performs the actual training set
- Entry point for the GUI
- Creates and displays the GUI
- Initialize the main
- Main method
- Save image to file
- Initialize the border
- Gets current value
- Returns the closest feature
- Perform login action
Face-Recognition Key Features
Face-Recognition Examples and Code Snippets
Community Discussions
Trending Discussions on Face-Recognition
QUESTION
I'm facing this error while installing face_recognition in a virtualenv with Python 3.8.10 on Ubuntu 20.04.
...ANSWER
Answered 2022-Mar-01 at 22:49ERROR: CMake must be installed to build dlib
QUESTION
I am using python 3.9.9 pip 21.3.1
I am trying to install face_recognition
so I installed CMake
then when I tried to install dlib using command pip install dlib
I got the following
ANSWER
Answered 2021-Nov-20 at 08:45Fortunately, I solved the problem. These are the steps to download face_recognition Library:
1- install python:2- install pip if you do not have it:in the command prompt write
python
and click Enter, this will open Microsoft store for you, "click download" or "install" to download and install python. "to check if it is downloaded or not typepython
in the command prompt
3-Install Visual Studio tools For C++go to: https://pypi.org/project/pip-download/ click download files. Now open the downloaded file, then click right click with the mouse and choose "open in windows terminal". now type the command
python get-pip.py
. now your pip should be installed, typepip
in the terminal to check if it is installed
4- installing cmakego to: https://visualstudio.microsoft.com/ and download the community version of VS. after downloading install it and choose the following options in the installation page:
image1 image2and choose install
5- Add cmake to the Path variableEnter the command
pip install cmake
and wait fo it to be installed.
6- Install dlibfollow the instructions in the following link to know how to add something to your Path variable: https://helpdeskgeek.com/windows-10/add-windows-path-environment-variable/
7- install face_recognitionwrite the following command in the command prompt:
pip install dlib
8- start your project in PyCharmwrite the following command in the command prompt:
pip install face_recognition
click File click Sittings in the search type "interpreter" choose "python interpreter" choose "show all" click the "+" sign choose system Interpreter choose the interpreter that its path starts with the "users" directory
That is the solution I used to fix my problem
QUESTION
The Question
I have a docker image that builds fine on my local machine (Ubuntu 20.04) but fails on a shared Linode when compiling dlib. And I have absolutely no clue why this is happening.
Anybody knows or has any idea what to do? I assume it has something to do with the underlying hardware but what do I know...
Further Background
- Docker and Docker Compose version are the same on both systems
- all requirements for building dlib are met (proven by my successfull local build)
- I have an image based on
nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
- As I think the missing GPU on the Linode has something to do with it I tried to compile dlib without GPU support with several methods. None worked
- In the end the image exposes a Django API that does a bunch of Machine Learning stuff (using e.g. spacy or face-recognition).
The error message
...ANSWER
Answered 2021-Oct-17 at 20:33I solved the problem by upgrading my Linode to a dedicated CPU plan. After doing so everything worked as expected.
For me this problem is solved but I am still curious why this did not work on the shared system... If anybody know, please enlighten me!
QUESTION
While using docker build -t /flask-docker to create an image to later upload it to heroku, I get the following errors:
...ANSWER
Answered 2021-Jun-25 at 14:26Might need to do RUN apt-get update && apt-get install -y cmake
before the pip install
.
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:
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 Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Face-Recognition component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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