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
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Automate NN training and inference via API
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Automate NN training and inference via API
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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!