mirror of
https://github.com/azaion/ai-training.git
synced 2026-04-22 21:56:36 +00:00
Oleksandr Bezdieniezhnykh
142c6c4de8
- Replaced module-level path variables in constants.py with a structured Pydantic Config class. - Updated all relevant modules (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to access paths through the new config structure. - Fixed bugs related to image processing and model saving. - Enhanced test infrastructure to accommodate the new configuration approach. This refactor improves code maintainability and clarity by centralizing configuration management.
32 lines
1.2 KiB
Markdown
32 lines
1.2 KiB
Markdown
# Resource Limit Test Scenarios
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## RL-AUG-01: Augmentation output count bounded
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- **Input**: 1 image
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- **Action**: Run `augment_inner()`
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- **Expected**: Returns exactly 8 outputs (never more, even with retries)
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- **Traces**: AC: 8× augmentation ratio (1 original + 7 augmented)
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## RL-DSF-01: Dataset split ratios sum to 100%
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- **Input**: Any number of images
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- **Action**: Check `train_set + valid_set + test_set`
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- **Expected**: Equals 100
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- **Traces**: AC: 70/20/10 split
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## RL-DSF-02: No data duplication across splits
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- **Input**: 100 images
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- **Action**: Run `form_dataset()`, collect all filenames across train/valid/test
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- **Expected**: No filename appears in more than one split
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- **Traces**: AC: Dataset integrity
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## RL-ENC-01: Encrypted output size bounded
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- **Input**: N bytes plaintext
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- **Action**: Encrypt
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- **Expected**: Ciphertext size ≤ N + 32 bytes (16 IV + up to 16 padding)
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- **Traces**: Restriction: AES-256-CBC overhead
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## RL-CLS-01: Total class count is exactly 80
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- **Input**: `classes.json`
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- **Action**: Generate class list for YAML
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- **Expected**: Exactly 80 entries (17 named × 3 weather + 29 placeholders = 80)
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- **Traces**: AC: 80 total class slots
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