IndexError: tuple index out of range

zhaolimin@gpuv100:~/YOLOX$ python tools/demo.py image -n yolox-s -c /home/zhaolimin/YOLOX/path/to/your/yolox_s.pth --path assets/dog.jpg --conf 0.25 --nms 0.45 --tsize 640 --save_result --device gpu
2021-11-09 10:53:17.385 | INFO | main:main:250 - Args: Namespace(camid=0, ckpt='/home/zhaolimin/YOLOX/path/to/your/yolox_s.pth', conf=0.25, demo='image', device='gpu', exp_file=None, experiment_name='yolox_s', fp16=False, fuse=False, legacy=False, name='yolox-s', nms=0.45, path='assets/dog.jpg', save_result=True, trt=False, tsize=640)
/home/zhaolimin/anaconda3/envs/YOLOX/lib/python3.7/site-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /pytorch/c10/core/TensorImpl.h:1156.)
return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)
2021-11-09 10:53:21.485 | INFO | main:main:260 - Model Summary: Params: 8.97M, Gflops: 26.87
2021-11-09 10:53:27.553 | INFO | main:main:271 - loading checkpoint
2021-11-09 10:53:27.728 | INFO | main:main:275 - loaded checkpoint done.
2021-11-09 10:53:27.787 | INFO | main:inference:160 - Infer time: 0.0422s
Traceback (most recent call last):
File "tools/demo.py", line 306, in
main(exp, args)
File "tools/demo.py", line 297, in main
image_demo(predictor, vis_folder, args.path, current_time, args.save_result)
File "tools/demo.py", line 190, in image_demo
result_image = predictor.visual(outputs[0], img_info, predictor.confthre)
File "tools/demo.py", line 178, in visual
vis_res = vis(img, bboxes, scores, cls, cls_conf, self.cls_names)
File "/home/zhaolimin/YOLOX/yolox/utils/visualize.py", line 25, in vis
text = '{}:{:.1f}%'.format(class_names[cls_id], score * 100)
IndexError: tuple index out of range

Reproduce the image demo with the command in the report, then start at tools/demo.py and yolox/utils/visualize.py line 25, where the traceback occurs. Inspect the model output and class-name configuration involved in the visualization. Done means the demo completes and displays or saves the detection image without IndexError.