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Oleksandr Bezdieniezhnykh 8ce40a9385 Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management 
- Introduced `AIAvailabilityStatus` class to manage the availability status of AI models, including methods for setting status and logging messages.
- Added `AIRecognitionConfig` class to encapsulate configuration parameters for AI recognition, with a static method for creating instances from dictionaries.
- Implemented enums for AI availability states to enhance clarity and maintainability.
- Updated related Cython files to support the new classes and ensure proper type handling.

These changes aim to improve the structure and functionality of the AI model management system, facilitating better status tracking and configuration handling.
2026-03-31 05:49:51 +03:00
_docs
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
.cursor
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
.github
Update .gitignore to include additional file types and directories for Python projects, enhancing environment management and build artifacts exclusion.
2026-03-20 21:28:16 +02:00
e2e
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
Logs
Refactor type casting in Cython files for improved clarity and consistency
2026-03-30 06:17:16 +03:00
src
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
.gitignore
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
AGENTS.md
Refactor autopilot workflows and documentation: Update .gitignore to include binary and media file types, enhance agent command references in documentation, and modify annotation class for improved accessibility. Adjust inference processing to handle batch sizes and streamline test specifications for clarity and consistency across the system.
2026-03-25 05:26:19 +02:00
classes.json
Refactor inference engine and task management: Remove obsolete inference engine and ONNX engine files, update inference processing to utilize batch handling, and enhance task management structure in documentation. Adjust paths for task specifications to align with new directory organization.
2026-03-28 01:04:28 +02:00
Dockerfile
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
Dockerfile.gpu
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
README.md
Initial commit
2026-03-17 19:15:55 +02:00
requirements-gpu.txt
Initial commit
2026-03-17 19:15:55 +02:00
requirements-macos.txt
fix some cython code
2026-03-29 21:18:18 +03:00
requirements.txt
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
run-tests.sh
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00
setup.py
Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management
2026-03-31 05:49:51 +03:00

README.md

Azaion.Detections

Cython/Python service for YOLO inference (TensorRT / ONNX Runtime). GPU-enabled container.

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Readme 73 MiB
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