code: def show_samples(
      samples: Sequence[dict],
      class_map: Optional[ClassMap] = None,
      denormalize_fn: Optional[callable] = denormalize_imagenet,
      display_label: bool = True,
      display_bbox: bool = True,
      display_mask: bool = True,
      ncols: int = 1,
      figsize=None,
      show=False,
      **draw_sample_kwargs,
  ) -> None:
      partials = [
          partial(
              show_sample,
              sample=sample,
              denormalize_fn=denormalize_fn,
              display_label=display_label,
              display_bbox=display_bbox,
              display_mask=display_mask,
              class_map=class_map,
              show=False,
              **draw_sample_kwargs,
          )
          for sample in samples
      ]
      plot_grid(partials, ncols=ncols, figsize=figsize, show=show)
  
file_path: icevision/icevision/visualize/show_data.py
imports: from icevision.imports import *
  from icevision.utils import *
  from icevision.core import *
  from icevision.parsers import *
  from icevision.data import *
  from icevision.visualize.draw_data import *
label_desc: Use image node_id 5 for calling a global function with example usage: show_samples(samples, class_map, denormalize_fn, display_label, display_bbox, display_mask, ncols, figsize, show) without return types