AI Facial Recognition web system

제품 정보

$999.45
cart 장바구니에 담기 즐겨찾기
사용 설명서 문서

inspectedPieceX에서 검사한 제품

개발자

Lab AI
코드 샘플 요청 다이렉트 메세지

Mar 2, 2019

공개 채팅

제품 세부 정보




Facial recognition and facial detection web system in Python and Django.



Ready-to-use code with User Interface for facial recognition and facial detection. Upload images and let the AI find matches for people.

Upload individual or multiple images at the time.


style="color:#000000;">While facial recognition gives an identification or a match between a set of images, facial detection allows identifying if there is a human face (or more) within a picture.

With the following project you will be able to:



  • Use it as it is for web facial recognition and facial detection

  • Upload single images or multiple images to build a known faces library

  • Find a match by facial recognition for a single image or multiple files

  • Submit an image for facial detection

  • Browse the results as Web client

  • Access to the database and source code

  • Use the recognition class for other projects


Includes pre-trained data (pre-trained data from public libraries*, you can also use your own training dataset or another public one)



External Sources


The model was trained using the following dataset: https://ibug.doc.ic.ac.uk/resources/facial-point-annotations/. (please check their website for changes in License for the landmarks; additionally, you can use a Tensorflow MIT dataset for training).



For this system, we will use the face_detector to find the faces.  Alternatively, you can use your own datasets and replace those files.



How to Use:


First, copy the two .dat files from the "Part2" zip folder inside the Part1 zip folder (where the manage.py file is).




Install Python3 and Django in your server/localhost

Copy the folder in your decided location (or server’s html folder).


In the terminal cd inside the folder with the manage.py file.


Type the followings:




> python3 manage.py makemigrations


> python3 manage.py migrate


> python3 manage.py runserver




Limitations



  • The detections correspond to statistical probabilities, hence the accuracy is not 100% guaranteed.

  • The image quality and complexity interferes with the accuracy of the prediction. 

AI Facial Recognition web system Facial recognition and facial detection web system in Python and Django. Upload images and let the AI find matches for people. With the following project you will be able to:
Use it as it is for web facial recognition and facial detection
Upload single images or multiple images to build a known faces library
Find a match by facial recognition for a single image or multiple files
Submit an image for facial detection
Browse the results as Web client
Access to the database and source code
Use the recognition class for other projects
Includes pre-trained data (pre-trained data from public libraries , you can also use your own training dataset or another public one)

External Sources
The model was trained using the following dataset: https://ibug.doc.ic.ac.uk/resources/facial-point-annotations/. How to Use:
First, copy the two .dat files from the Part2 zip folder inside the Part1 zip folder (where the manage.py file is).

File Tree

  • 📁 AI Facial Recognition web system

가격 정보

가격 통계

최고 가격
$NA
평균 가격
$NA
최저 가격
$NA
AI 가격 예측
$NA

인사이트

리뷰 및 등급
Sep 2, 2019
Amazing project, well worth the money. Incredibly useful. Off the shelf AI.
ratingsratingsratingsratingsratings

제한된 미리 보기


실제 제품에는 모든 파일과 전체 코드가 포함되어 있습니다.

종속성 확인

제품 외부 종속성 보기

무작위로 선택한 샘플 파일

프로젝트 파일 통계

계층구조

샘플 파일 선택
X

문의하기

  • 비즈니스 개발자를 위한 최신 정보를 원하십니까? 소스 코드 프로젝트에 대한 PieceX 커뮤니티의 요구사항을 알아보세요. PieceX의 최신 무료 커뮤니티 코드를 빠르게 알려드립니다.
PieceX Logo