{"repo":"MiniAiLive/FaceRecognition-Docker","free":true,"listed":false,"github":"https://github.com/MiniAiLive/FaceRecognition-Docker","clone":"git clone https://github.com/MiniAiLive/FaceRecognition-Docker.git","description":"Face Recognition on NIST FRVT Top Ranked, Face Detection, Face Matching, Face Analysis, Face Sentiment, Face Alignment, Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution","language":"Python","stars":27,"topics":["age-estimation","authentication","biometrics","ekyc-verification","face-analysis","face-attendance-system","face-attributes","face-detection","face-mask-detection","face-matching"],"license":null,"category":"auth-billing-email","readme_excerpt":"Face Recognition Docker Welcome to the MiniAiLive! Check the likelihood that two faces belong to the same person. You will get a confidence score and thresholds to evaluate the similarity. Feel free to use our MiniAI Face Recognition Docker. Note SDK is fully on-premise, processing all happens on hosting server and no data leaves server. Table of Contents - Installation Guide - API Details - Gradio Demo - Python Test API Example FaceSDK Docker Installation Guide Prerequisites - Python 3.6+ - Linux - CPU: 2 cores or more - RAM: 8 GB or more Installation Steps 1. Download the Face Recognition Docker Image: Download the Server Docker Image from the following link: Download the On-premise Server Installer 2. Install the On-premise Docker Server: Run the Docker Image and follow the on-screen instructions to complete the installation. Go to the Download folder and run this command. You can refer our Documentation here. https://docs.miniai.live 3. Request License and Update: You can generate the License Request file by using this command: Then you can see the license request file on your directory, and send it to us via email or WhatsApp. We will send the license based on your Unique Request file, then you can upload the license file to allow to use. Refer the below images. 4. Verify Installation: After installation, verify that the On-premise Server is correctly installed by using this command: If you can see opened your port correctly, the server has been installed successfully. R","default_branch":null,"files":null,"tree":[],"storefront":"/r/MiniAiLive","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MiniAiLive/FaceRecognition-Docker/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}