这个是用demo这个代码测试的，需要先训练一个pth文件夹，训练之后再调用pth文件夹进行测试。测试的代码文件名是：image_demo_new.py，代码如系所示：

# Copyright (c) OpenMMLab. All rights reserved.
import asyncio
from argparse import ArgumentParser

from mmdet.apis import (async_inference_detector, inference_detector,
                        init_detector, show_result_pyplot)
import cv2
import os

def parse_args():
    parser = ArgumentParser()
    parser.add_argument('img', default=None,help='Image file')
    parser.add_argument('config', help='Config file')
    parser.add_argument('checkpoint', help='Checkpoint file')
    parser.add_argument('--out-file', default=None, help='Path to output file')
    parser.add_argument(
        '--device', default='cuda:0', help='Device used for inference')
    parser.add_argument(
        '--palette',
        default='coco',
        choices=['coco', 'voc', 'citys', 'random'],
        help='Color palette used for visualization')
    parser.add_argument(
        '--score-thr', type=float, default=0.3, help='bbox score threshold')
    parser.add_argument(
        '--async-test',
        action='store_true',
        help='whether to set async options for async inference.')
    args = parser.parse_args()
    return args


def main(args):
    outdir='./demo_out1'
    imgdir='./image/fire'
    for imgf in os.listdir(imgdir):
        if not imgf.endswith('jpg'):
            continue
        # 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, imgdir + '/'+ imgf)
        # import pdb;pdb.set_trace()
        if hasattr(model, 'module'):
            model = model.module
        img = model.show_result(imgdir + '/'+ imgf,result,score_thr=args.score_thr,show=False)
        cv2.imwrite('{}/{}'.format(outdir,imgf),img)

if __name__ == '__main__':
    args = parse_args()
    main(args)

记得自己新建“demo_out1”这个文件夹
测试完成之后会保存到一个新的文件夹下面，文件名是：demo_out1，测试代码文件夹名称是： imgdir='./image/fire'，运行的代码如下所示：python demo/image_demo_new.py image/fire/image_733.jpg configs/ddod_log_ddod_r50_fpn_1x_coco/ddod_r50_fpn_1x_coco.py configs/ddod_log_ddod_r50_fpn_1x_coco/epoch_100.pth --device cpu

测试我是直接用cpu的，没用GPU,界面截图如下所示：