code: def main():
      dataset = VOCBboxDataset(year="2007", split="test").slice[
          [29, 301, 189, 229], "img"
      ]
      models = [
          ("Faster R-CNN", FasterRCNNVGG16(pretrained_model="voc07")),
          ("SSD300", SSD300(pretrained_model="voc0712")),
          ("SSD512", SSD512(pretrained_model="voc0712")),
          ("YOLOv2", YOLOv2(pretrained_model="voc0712")),
          ("YOLOv2 tiny", YOLOv2Tiny(pretrained_model="voc0712")),
          ("YOLOv3", YOLOv3(pretrained_model="voc0712")),
      ]
  
      fig = plt.figure(figsize=(30, 20))
      for i, img in enumerate(dataset):
          for j, (name, model) in enumerate(models):
              bboxes, labels, scores = model.predict([img])
              bbox, label, score = bboxes[0], labels[0], scores[0]
  
              ax = fig.add_subplot(
                  len(dataset), len(models), i * len(models) + j + 1
              )
              vis_bbox(
                  img,
                  bbox,
                  label,
                  score,
                  label_names=voc_bbox_label_names,
                  ax=ax,
              )
  
              # Set MatplotLib parameters
              ax.set_aspect("equal")
              if i == 0:
                  font = FontProperties()
                  font.set_family("serif")
                  font.set_size(35)
                  ax.set_title(name, y=1.03, fontproperties=font)
              plt.axis("off")
              plt.tight_layout()
  
      plt.show()
  
file_path: chainercv/examples/detection/visualize_models.py
imports: from matplotlib.font_manager import FontProperties
  import matplotlib.pyplot
  from chainercv.experimental.links import YOLOv2Tiny
  from chainercv.links import FasterRCNNVGG16
  from chainercv.links import SSD300
  from chainercv.links import SSD512
  from chainercv.links import YOLOv2
  from chainercv.links import YOLOv3
  from chainercv.datasets import voc_bbox_label_names
  from chainercv.datasets import VOCBboxDataset
  from chainercv.visualizations import vis_bbox
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types