Files
ai-training/config.yaml
T
Oleksandr Bezdieniezhnykh 18b88ba9bf Refactor configuration and update test structure for improved clarity
- Updated `.gitignore` to remove committed test fixture data exclusions.
- Increased batch size in `config.test.yaml` from 4 to 128 for training.
- Simplified directory structure in `config.yaml` by removing unnecessary data paths.
- Adjusted paths in `augmentation.py`, `dataset-visualiser.py`, and `exports.py` to align with the new configuration structure.
- Enhanced `annotation_queue_handler.py` to utilize the updated configuration for directory management.
- Added CSV logging of test results in `conftest.py` for better test reporting.

These changes streamline the configuration management and enhance the testing framework, ensuring better organization and clarity in the project.
2026-03-28 07:32:40 +02:00

31 lines
491 B
YAML

api:
url: 'https://api.azaion.com'
email: 'uploader@azaion.com'
password: 'Az@1on_10Upl0@der'
queue:
host: '188.245.120.247'
port: 5552
consumer_user: 'azaion_receiver'
consumer_pw: 'Az1onRecce777ve2r'
name: 'azaion-annotations'
dirs:
root: '/azaion'
data: 'data'
data_seed: 'data-seed'
data_deleted: 'data_deleted'
training:
model: 'yolo26m.pt'
epochs: 120
batch: 11
imgsz: 1280
save_period: 1
workers: 24
export:
onnx_imgsz: 1280
onnx_batch: 4