Metadata-Version: 2.1
Name: access-face-vision
Version: 0.0.2
Summary: UNKNOWN
Home-page: https://accessai.co/access-face-vision.html
Author: ConvexHull Technology Private Limited
Author-email: support@accessai.co
Maintainer: Majeed Khan
Maintainer-email: majeed.khan@accessai.co
License: Apache 2.0
Description: [![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)
        [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
        
        # Access Face Vision
        
        Face detection and recognition Application.
        
        ### With pip
         - ##### Installation
        ```bash
        pip install access-face-vision
        ```
        
        - ##### Training/Creating FaceGroup
        ```bash
        python -m access_face_vision --mode train --img_dir samples/celebrities --face_group celebrities
        
        # Directory structure
        # **/Images/
        #          A/
        #           A_K_01.jpg
        #           A_K_02.jpg
        #          B/
        #           B_S_01.jpg
        #           B_S_02.jpg
        ```
        
        - ##### Running Inferences
        ```bash
        # Live video feed
        python -m access_face_vision --mode live-video --camera-index 0 --camera_wait 25 --face_group myfacegroup
        
        # server mode
        python -m access_face_vision --mode server
        ```
        Use [access-client](https://github.com/accessai/access-client) to make requests to this server
        
        
        ### Docker image
        
        - Docker Image build
        ```bash
        docker build -t access_face_vision:latest .
        ```
        
         - Docker run
         ```bash
        # we will use it as root directory for access_face_vision application
        mkdir -p accessai/afv
        
        # Start server
        docker run -v $(pwd)/afv:/accessai/afv python -m access_face_vision --mode server
        
        # Start camera feed processor
        docker run -v $(pwd)/afv:/accessai/af v python -m access_face_vision --mode server
        ```
        
        ## Contribution
         Contributions are welcome. Feel free to raise PRs! with any improvements.
        
        
        ## Credit
        Face Encoder model: https://github.com/nyoki-mtl/keras-facenet
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/markdown
