[python]Swin-Transformer-Object-Detection修改代码不弹出窗口显示而是写出图片

问题场景：

由于在云服务器上安装Swin-Transformer-Object-Detection，执行image_demo.py时候弹不出显示结果窗口，这个是因为没有桌面环境造成。因此需要修改写出图片结果进行查看。

文件位置：Swin-Transformer-Object-Detection/demo/image_demo.py

原来代码：

from argparse import ArgumentParser

from mmdet.apis import inference_detector, init_detector, show_result_pyplot


def main():
    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(
        '--score-thr', type=float, default=0.3, help='bbox score threshold')
    args = parser.parse_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, score_thr=args.score_thr)


if __name__ == '__main__':
    main()

修改后代码：

from argparse import ArgumentParser

from mmdet.apis import inference_detector, init_detector, show_result_pyplot


def main():
    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(
        '--score-thr', type=float, default=0.3, help='bbox score threshold')
    args = parser.parse_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, score_thr=args.score_thr)
    model.show_result(args.img, result, out_file='result.jpg')


if __name__ == '__main__':
    main()