BisQue Docs
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  • Welcome
  • BisQue Service
    • LogIn / SignUp
    • Data Storage
      • Data Upload from Web
      • Data Upload from CLI
      • Upload other file formats
        • Upload DICOM files
    • Data Visualization
      • Brain CT Scans
      • Multi-spectral Imagery
      • 3D Materials
      • JPEGs and PNGs
    • Data Analysis / Modules
      • Maasai Mara
        • Mara Animal Annotator
        • Mara Animal Detector
        • Mara Report Generator
        • Mara Evaluator
        • Train a new detector
      • Underwater Species Tracker and Counter
      • Prairie Dog Detection
      • NPH Prediction
      • iNPH Analysis
      • CellECT 2.0
    • Other BisQue Features
      • Annotations on BisQue
  • Running BisQue Service
    • Installing, Running, and Deploying BisQue
    • Docker Installation
  • Developing a BisQue Module
    • BisQue Module Generator
      • Step 0. Organizing Your Code
      • Step 1. Create BisQue Module
      • Step 2. Testing Your Module
      • Step 3. Debugging
    • Run Modules Locally
    • Further Customization
  • BisQue API
    • Install Python BQAPI
    • BQAPI Services
    • Upload an Image
    • Download an Array
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  • UCSB BisQue Cloud Service
  • Local Installation with Docker
  1. Running BisQue Service

Installing, Running, and Deploying BisQue

We currently support two ways of interacting with the BisQue Service.

UCSB BisQue Cloud Service

This instance of BisQue is a full production version that all academic and research institutions can use. Start using BisQue now by Requesting an account!

Local Installation with Docker

You can spin up your own version of BisQue locally by using our prebuilt Docker container. All the instuctions are on the next page!

PreviousAnnotations on BisQueNextDocker Installation

Last updated 2 years ago