Supervisely

Python SDK Reference:

  • API Reference

Public REST API Reference:

  • Public REST API

Guides:

  • Intro
  • What is Supervisely Agent
  • Custom plugin basics
  • Custom NN plugin basics
  • How to debug custom NN plugin
  • Different ways how to deploy NN with Supervisely
  • Exam reports explained
  • UI documentation

Basics and Usage Examples:

  • Project Structure
  • Data Management
  • Augmentations
  • NN: deploy and inference on Supervisely via API
  • Automate NN training and inference via API
    • Supervisely Tutorial #5
    • Neural networks: training workflow with Supervisely online API
  • Inference modes: full image / sliding window / ROI / bboxes
  • Data manipulation via API: copy / move / delete
  • Users and labeling jobs API
  • Custom NN pilepile: (1) detect objects and (2) segment them with separate networks
  • Upload images via API
  • Custom Data Pipeline
  • Filter and combine images
  • How to work with NN pixelwise probabilities
  • Additional examples in our github
Supervisely
  • Docs »
  • Automate NN training and inference via API
  • View page source

Automate NN training and inference via APIΒΆ

  • Supervisely Tutorial #5
  • Neural networks: training workflow with Supervisely online API
    • Setup steps
      • Necessary imports
      • Initialize API access with your credentials
      • Define the active workspace
    • Add a neural network to the workspace to be a starting point for training
      • Select the agent to use
    • Prepare a project with the training data
      • Copy an existing labeled project
      • Data augmentation using a Data Transformation Language plugin
    • Run neural network training
    • Run inference on the freshly trained model
      • Prepare an input dataset for inference
      • Run inference on the input project
    • Done!
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