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
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Inference modes: full image / sliding window / ROI / bboxes
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Inference modes
Inference config structure
Full image inference
ROI (fixed crop) inference
Sliding window inference
Segmentation
Detection
Pipelining - bounding boxes ROI inference