text: # Copyright (c) OpenMMLab. All rights reserved.
  """Inference on single image.
  
  Example:
  
  
  ```
  wget -P checkpoint https://download.openmmlab.com/mmrotate/v0.1.0/oriented_rcnn/oriented_rcnn_r50_fpn_1x_dota_le90/oriented_rcnn_r50_fpn_1x_dota_le90-6d2b2ce0.pth  # noqa: E501, E261.
  python demo/image_demo.py \
      demo/demo.jpg \
      configs/oriented_rcnn/oriented_rcnn_r50_fpn_1x_dota_le90.py \
      work_dirs/oriented_rcnn_r50_fpn_1x_dota_v3/epoch_12.pth
  ```
  """  # nowq
  
  from argparse import ArgumentParser
  
  from mmdet.apis import inference_detector, init_detector, show_result_pyplot
  
  import mmrotate  # noqa: F401
  
  
  def parse_args():
      parser = ArgumentParser()
      parser.add_argument('img', help='Image file')
      parser.add_argument('config', help='Config file')
      parser.add_argument('checkpoint', help='Checkpoint file')
      parser.add_argument(
          '--device', default='cuda:0', help='Device used for inference')
      parser.add_argument(
          '--palette',
          default='dota',
          choices=['dota', 'sar', 'hrsc', 'hrsc_classwise', 'random'],
          help='Color palette used for visualization')
      parser.add_argument(
          '--score-thr', type=float, default=0.3, help='bbox score threshold')
      args = parser.parse_args()
      return args
  
  
  def main(args):
      # build the model from a config file and a checkpoint file
      model = init_detector(args.config, args.checkpoint, device=args.device)
      # test a single image
      result = inference_detector(model, args.img)
      # show the results
      show_result_pyplot(
          model,
          args.img,
          result,
          palette=args.palette,
          score_thr=args.score_thr)
  
  
  if __name__ == '__main__':
      args = parse_args()
      main(args)
  