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https://github.com/azaion/ai-training.git
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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.
42 lines
1.5 KiB
Markdown
42 lines
1.5 KiB
Markdown
# Module: dataset-visualiser
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## Purpose
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Interactive tool for visually inspecting annotated images from datasets or the processed folder, displaying bounding boxes with class colors.
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## Public Interface
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| Function | Signature | Description |
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|----------|-----------|-------------|
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| `visualise_dataset` | `()` | Iterates images in a specific dataset folder, shows each with annotations. Waits for keypress. |
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| `visualise_processed_folder` | `()` | Shows images from the processed folder with annotations. |
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## Internal Logic
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- **visualise_dataset()**: Hardcoded to a specific dataset date (`2024-06-18`), iterates from index 35247 onward. Reads image + labels, calls `ImageLabel.visualize()`, waits for user input to advance.
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- **visualise_processed_folder()**: Lists all processed images, shows the first one.
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- Both functions use `read_labels()` imported from a `preprocessing` module **which does not exist** in the codebase — this is a broken import.
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## Dependencies
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- `constants` — directory paths (datasets_dir, prefix, processed_*)
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- `dto/annotationClass` — AnnotationClass for class colors
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- `dto/imageLabel` — ImageLabel for visualization
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- `preprocessing` — **MISSING MODULE** (read_labels function)
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- `cv2` (external), `matplotlib` (external), `os`, `pathlib` (stdlib)
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## Consumers
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None (standalone script).
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## Data Models
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Uses ImageLabel, AnnotationClass.
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## Configuration
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Hardcoded dataset path and start index.
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## External Integrations
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Filesystem I/O, matplotlib interactive display.
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## Security
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None.
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## Tests
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None.
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