# Module: exports

## Purpose
Model export utilities: converts trained YOLO .pt models to ONNX, TensorRT, and RKNN formats. Also handles encrypted model upload (split big/small pattern) and data sampling.

## Public Interface

| Function | Signature | Returns | Description |
|----------|-----------|---------|-------------|
| `export_rknn` | `(model_path: str)` | — | Exports YOLO model to RKNN format (RK3588 target), cleans up temp folder |
| `export_onnx` | `(model_path: str, batch_size: int = 4)` | — | Exports YOLO model to ONNX (1280px, NMS enabled, GPU device 0) |
| `export_tensorrt` | `(model_path: str)` | — | Exports YOLO model to TensorRT engine (batch=4, half precision, NMS) |
| `form_data_sample` | `(destination_path: str, size: int = 500, write_txt_log: bool = False)` | — | Creates a random sample of processed images |
| `show_model` | `(model: str = None)` | — | Opens model visualization in netron |
| `upload_model` | `(model_path: str, filename: str, size_small_in_kb: int = 3)` | — | Encrypts model, splits big/small, uploads to API + CDN |

## Internal Logic
- **export_onnx**: Removes existing ONNX file if present, exports at 1280px with NMS baked in and simplification.
- **export_tensorrt**: Uses YOLO's built-in TensorRT export (batch=4, FP16, NMS, simplify).
- **export_rknn**: Exports to RKNN format targeting RK3588 SoC, moves result file and cleans temp directory.
- **upload_model**: Encrypts with `Security.get_model_encryption_key()`, splits encrypted bytes at 30%/70% boundary (or `size_small_in_kb * 1024`), uploads small part to API, big part to CDN.
- **form_data_sample**: Randomly shuffles processed images, copies first N to destination folder.

## Dependencies
- `constants` — directory paths, model paths, config file names
- `api_client` — ApiClient, ApiCredentials for upload
- `cdn_manager` — CDNManager, CDNCredentials for CDN upload
- `security` — model encryption key, encrypt_to
- `utils` — Dotdict for config access
- `ultralytics` (external) — YOLO model
- `netron` (external) — model visualization
- `yaml`, `os`, `shutil`, `random`, `pathlib` (stdlib)

## Consumers
train (export_tensorrt, upload_model, export_onnx)

## Data Models
None.

## Configuration
Reads `config.yaml` for API credentials (in `upload_model`), `cdn.yaml` for CDN credentials.

## External Integrations
- Ultralytics YOLO export pipeline
- Netron model viewer
- Azaion API + CDN for model upload

## Security
- Models are encrypted with AES-256-CBC before upload
- Split storage (big on CDN, small on API) prevents single-point compromise

## Tests
None.