## prepare_dataset()


Prepare an .npz dataset from a directory of .npy cell image files.


Usage

``` python
prepare_dataset(
    data_dir, output, channels=None, ignore=None, single_label=True
)
```


## Parameters


`data_dir: str`  
Directory containing .npy files and optionally metadata.json.

`output: str`  
Full path for the output .npz file (e.g. '/path/to/rois.npz').

`channels: list[str] | None = None`  
Channel names. If None, read from metadata.json in data_dir.

`ignore: list[str] | None = None`  
Labels to exclude (default: \['unassigned'\]).

`single_label: bool = ``True`  
Skip masks with more than one label (default: True).