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
  • Inference modes: full image / sliding window / ROI / bboxes
    • Inference modes
  • 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 »
  • Inference modes: full image / sliding window / ROI / bboxes
  • View page source

Inference modes: full image / sliding window / ROI / bboxesΒΆ

  • Inference modes
    • Inference config structure
    • Full image inference
    • ROI (fixed crop) inference
    • Sliding window inference
      • Segmentation
      • Detection
    • Pipelining - bounding boxes ROI inference
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