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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.
1.2 KiB
1.2 KiB
Resource Limit Test Scenarios
RL-AUG-01: Augmentation output count bounded
- Input: 1 image
- Action: Run
augment_inner() - Expected: Returns exactly 8 outputs (never more, even with retries)
- Traces: AC: 8× augmentation ratio (1 original + 7 augmented)
RL-DSF-01: Dataset split ratios sum to 100%
- Input: Any number of images
- Action: Check
train_set + valid_set + test_set - Expected: Equals 100
- Traces: AC: 70/20/10 split
RL-DSF-02: No data duplication across splits
- Input: 100 images
- Action: Run
form_dataset(), collect all filenames across train/valid/test - Expected: No filename appears in more than one split
- Traces: AC: Dataset integrity
RL-ENC-01: Encrypted output size bounded
- Input: N bytes plaintext
- Action: Encrypt
- Expected: Ciphertext size ≤ N + 32 bytes (16 IV + up to 16 padding)
- Traces: Restriction: AES-256-CBC overhead
RL-CLS-01: Total class count is exactly 80
- Input:
classes.json - Action: Generate class list for YAML
- Expected: Exactly 80 entries (17 named × 3 weather + 29 placeholders = 80)
- Traces: AC: 80 total class slots