AI Artifact Package¶
AI Challenge¶
- Definition
- Create an AI Challenge
- Create a Gitlab repo for the challenge
- Add the challenge definition pdf inside the /docs directory
- Define the input and result JSON schemas based on the challenge definition
- Generate the python and C++ interface files from the JSON schemas
- Create the input and result example JSON files
- Create and add the README.md to the challenge repository root
- Creating the LPDNN challenge
- Upload Challenge
AI Asset¶
Data Tool¶
- Definition
- Pre-requisites
- Create Datatool
- Datatool setup (How to use Template):
- Datatool Structure
- Data Model
- Datatool Implementation
- Step 1: Update Config Files
- Step 2: Update Config Schema Files
- Step 3: Add Python Dependency Modules
- Step 4: Implement Python Data Model for the Annotations
- Step 5: Create Unit Tests for the Data model
- Step 6: Complete Source Dataset Parser Implementation
- Step 7: Complete Datatool Patch Implementation (Optional)
- Step 8: Complete Visualize Annotations Implementation
- Step 9: Update User Documentation
- Step 10: Generate and Add EDA Report
- Step 11: Build, Test and Push the Docker Image
- Step 12: Complete Example Dataloader Implementation