# {py:mod}`dawsonia.table_detect.opencv_contours`

```{py:module} dawsonia.table_detect.opencv_contours
```

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours
:allowtitles:
```

## Module Contents

### Functions

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`table_detect_opencv_contours <dawsonia.table_detect.opencv_contours.table_detect_opencv_contours>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.table_detect_opencv_contours
    :summary:
    ```
* - {py:obj}`get_table_structure <dawsonia.table_detect.opencv_contours.get_table_structure>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.get_table_structure
    :summary:
    ```
* - {py:obj}`create_bbox_array <dawsonia.table_detect.opencv_contours.create_bbox_array>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.create_bbox_array
    :summary:
    ```
* - {py:obj}`set_nan_to_odd_bboxes <dawsonia.table_detect.opencv_contours.set_nan_to_odd_bboxes>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.set_nan_to_odd_bboxes
    :summary:
    ```
* - {py:obj}`fix_missing_bboxes <dawsonia.table_detect.opencv_contours.fix_missing_bboxes>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.fix_missing_bboxes
    :summary:
    ```
* - {py:obj}`page_curvature_along_x_quad <dawsonia.table_detect.opencv_contours.page_curvature_along_x_quad>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.page_curvature_along_x_quad
    :summary:
    ```
* - {py:obj}`page_curvature_along_x_cubic <dawsonia.table_detect.opencv_contours.page_curvature_along_x_cubic>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.page_curvature_along_x_cubic
    :summary:
    ```
* - {py:obj}`bboxes_from_contours <dawsonia.table_detect.opencv_contours.bboxes_from_contours>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.bboxes_from_contours
    :summary:
    ```
* - {py:obj}`cluster_axis <dawsonia.table_detect.opencv_contours.cluster_axis>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.cluster_axis
    :summary:
    ```
````

### Data

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`logger <dawsonia.table_detect.opencv_contours.logger>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.logger
    :summary:
    ```
* - {py:obj}`__all__ <dawsonia.table_detect.opencv_contours.__all__>`
  - ```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.__all__
    :summary:
    ```
````

### API

````{py:data} logger
:canonical: dawsonia.table_detect.opencv_contours.logger
:value: >
   'getLogger(...)'

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.logger
```

````

````{py:data} __all__
:canonical: dawsonia.table_detect.opencv_contours.__all__
:value: >
   ('table_detect_opencv_contours', 'get_table_structure', 'cluster_axis', 'create_bbox_array', 'set_na...

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.__all__
```

````

````{py:function} table_detect_opencv_contours(filtered_image: numpy.typing.NDArray, thresh_value: numpy.typing.NDArray, binary_tables: numpy.typing.NDArray[numpy.bool_], table_fmt, preproc_cfg: dawsonia.typing.PreprocConfig, original_image: numpy.typing.NDArray) -> tuple[dawsonia.typing.TablePositions, dawsonia.typing.TableSizes, int]
:canonical: dawsonia.table_detect.opencv_contours.table_detect_opencv_contours

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.table_detect_opencv_contours
```
````

````{py:function} get_table_structure(table_fmt, preproc_cfg: dawsonia.typing.PreprocConfig, filtered_image: numpy.typing.NDArray, filtered_image_inv: numpy.typing.NDArray, thresh_value: numpy.typing.NDArray, original_image: numpy.typing.NDArray, label_tables: numpy.typing.NDArray[numpy.int64], nb_labels: int, min_nb_pixels: int, sensibility: float, list_sizes: dawsonia.typing.TableSizes, list_positions: dawsonia.typing.TablePositions) -> None
:canonical: dawsonia.table_detect.opencv_contours.get_table_structure

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.get_table_structure
```
````

````{py:function} create_bbox_array(bboxes: list[dawsonia.typing.BBoxTuple], column_labels: numpy.typing.NDArray[numpy.int64], column_bboxes_idxs: dict[dawsonia.typing.ClusterLabel, numpy.typing.NDArray[numpy.int64]], row_labels: numpy.typing.NDArray[numpy.int64], row_bboxes_idxs: dict[dawsonia.typing.ClusterLabel, numpy.typing.NDArray[numpy.int64]])
:canonical: dawsonia.table_detect.opencv_contours.create_bbox_array

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.create_bbox_array
```
````

````{py:function} set_nan_to_odd_bboxes(all_bboxes)
:canonical: dawsonia.table_detect.opencv_contours.set_nan_to_odd_bboxes

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.set_nan_to_odd_bboxes
```
````

````{py:function} fix_missing_bboxes(all_bboxes)
:canonical: dawsonia.table_detect.opencv_contours.fix_missing_bboxes

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.fix_missing_bboxes
```
````

````{py:function} page_curvature_along_x_quad(xs, y_median, a0, a1, a2)
:canonical: dawsonia.table_detect.opencv_contours.page_curvature_along_x_quad

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.page_curvature_along_x_quad
```
````

````{py:function} page_curvature_along_x_cubic(xs, y_median, a0, a1, a2, a3)
:canonical: dawsonia.table_detect.opencv_contours.page_curvature_along_x_cubic

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.page_curvature_along_x_cubic
```
````

````{py:function} bboxes_from_contours(contours, area_range=(300, 10000), aspect_ratio_range=(0.05, 20))
:canonical: dawsonia.table_detect.opencv_contours.bboxes_from_contours

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.bboxes_from_contours
```
````

````{py:function} cluster_axis(ref_image: numpy.typing.NDArray, bboxes: collections.abc.Sequence[dawsonia.typing.BBoxTuple], axis: typing.Literal[0, 1] = 0, distance_threshold: float | None = None, min_cluster_size: int = 0) -> tuple[numpy.typing.NDArray[numpy.int64], dict[dawsonia.typing.ClusterLabel, numpy.typing.NDArray[numpy.int64]]]
:canonical: dawsonia.table_detect.opencv_contours.cluster_axis

```{autodoc2-docstring} dawsonia.table_detect.opencv_contours.cluster_axis
```
````