Blurit On-Premise Documentation
2.0.8
2.0.8
  • Blurit On-Premise
    • 🚀Getting started
    • 💻Requirements
    • 🖊️Installation
      • Linux dependencies
      • Windows dependencies (WSL)
      • Configuration
      • Run BlurIt OP
      • Multi-servers installation
      • Post installation verifications
    • 🎇Usage
      • Manager Webapp
      • API
        • License
        • Tasks
          • Process a directory
          • Process a file
          • Get the status of a task
      • Command line interface
      • Monitoring With Flower
    • Release notes
  • CLOUD IMAGES
    • Introduction
    • AWS
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  • 2.0.8
  • 2.0.7
  • 2.0.6
  • 2.0.2
  • 2.0.1
  • 2.0
  • 1.1.0:
  • 1.0.0:
  1. Blurit On-Premise

Release notes

2.0.8

  • Added asynchronous CPU and GPU processing to improve performance.

  • Introduced a new feature to clear the GPU cache for better resource management.

2.0.7

New Feature: Intuitive Dashboard for Task & Consumption Tracking

We’ve added a Dashboard page to give you a clear overview of service usage and resource consumption.

🔹 Key Features:

📊 Service Usage – Total API calls, daily & monthly breakdown 📉 Consumption Tracking – Data usage (MB) per day & month 📆 Dynamic Charts – Yearly & monthly trends for better insights

2.0.6

Starting from this version, custom port configuration has been removed. Applications are now accessible exclusively through the standard ports 80 (HTTP) and 443 (HTTPS). Use the dedicated paths /api and /flower to access the API and the Flower

2.0.2

New Features:

  • SSL configuration for cloud version

Hotfixes:

  • Web App: Improved input validation to allow spaces in the input path.

  • BlurIt Model: Resolved an issue with handling videos with low FPS.

2.0.1

New Features:

  • Added HTTP Basic Authentication for the web application, enhancing security.

2.0

New Features:

  • High-Performance Algorithm : This new algorithm delivers enhanced computing power and speed, resulting in better overall performance for your tasks.

  • Lightweight Model : In addition to the high-performance algorithm, we’ve introduced a smaller, more efficient model that uses less GPU RAM, making it ideal for environments with limited resources. Despite its compact size, it still provides robust results, ensuring you don't have to compromise on accuracy or efficiency.

1.1.0:

  • CLI configuration all in one

1.0.0:

  • installation script

  • NEW CLI

  • fix: not processing image or video with uppercase extension (e.g. image.PNG)

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Last updated 2 months ago