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
  • 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
    • Supervisely Tutorial #10
    • Imports
    • Initialize API access with your credentials
    • Initialize the API access object
    • Script parameters
    • Verify parameters
    • Find project or create the new one
    • Get paths of all images in a directory
    • Calculate hashes for all images paths
    • Get hashes that are already on server
    • Create dataset for new images
    • Upload images to the created dataset
    • Done!
  • Custom Data Pipeline
  • Filter and combine images
  • How to work with NN pixelwise probabilities
  • Additional examples in our github
Supervisely
  • Docs »
  • Upload images via API
  • View page source

Upload images via APIΒΆ

  • Supervisely Tutorial #10
  • Imports
  • Initialize API access with your credentials
  • Initialize the API access object
  • Script parameters
  • Verify parameters
  • Find project or create the new one
  • Get paths of all images in a directory
  • Calculate hashes for all images paths
  • Get hashes that are already on server
  • Create dataset for new images
  • Upload images to the created dataset
  • Done!
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