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
    • Supervisely Python SDK Tutorial #3: Augmentations
    • Imports
  • NN: deploy and inference on Supervisely via API
  • Automate NN training and inference via 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 »
  • Augmentations
  • View page source

AugmentationsΒΆ

  • Supervisely Python SDK Tutorial #3: Augmentations
  • Imports
    • Required imports
      • Prepare sample input
    • Load input data
    • Define visualization helpers
    • Original image and its annotation
      • Spatial augmentations
    • Horizontal flip (left-right)
    • Vertical flip
    • Random crop - height and width from range
    • Random crop - fixed height and width
    • Deterministic crop (relative units)
    • Deterministic crop (absolute pixels)
    • Resize
    • Scale proportionally
    • Rotate (with padding)
    • Rotate (without padding)
      • Per-pixel augmentations
    • Random brightness
    • Random contrast
    • Random Gaussian noise
    • Random per-color scale
    • Blur
    • Median Blur
    • Gaussian Blur
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