optical.visualizer.utils.plot_boxes

optical.visualizer.utils.plot_boxes(img: <module 'PIL.Image' from '/home/docs/checkouts/readthedocs.org/user_builds/optical/envs/stable/lib/python3.8/site-packages/PIL/Image.py'>, bboxes: numpy.ndarray, scores: Optional[List] = None, class_map: Optional[Dict] = {}, class_color_map: Optional[Dict] = {}, **kwargs) → <module ‘PIL.Image’ from ‘/home/docs/checkouts/readthedocs.org/user_builds/optical/envs/stable/lib/python3.8/site-packages/PIL/Image.py’>[source]

Plots bounding boxes annotations on the images.

Parameters

  • img (Image) – Pillow image on which annotations to be drawn.

  • bboxes (np.ndarray) – Bounding boxes of the input image.

  • scores (Optional[List], optional) – Scores incase of simple json format. Defaults to None.

  • class_map (Optional[Dict], optional) – mapping between categories and their ids. Defaults to dict().

  • class_color_map (Optional[Dict], optional) – mapping between categories and their colors. Defaults to dict().

Returns

PIL images on which annotations are drawn.

Return type

Image