跑yolov7出现如下问题

C:Userswindows.condaenvslyojpytorchpython.exe D:yolov72yolov7-main2train.py

YOLOR 2023-2-6 torch 1.10.2 CUDA:0 (NVIDIA GeForce RTX 3070 Ti, 8191.5MB)

Namespace(adam=False, artifact_alias='latest', batch_size=4, bbox_interval=-1, bucket='', cache_images=False, cfg='cfg/training/yolov7.yaml', data='data/VOC.yaml', device='0', entity=None, epochs=300, evolve=False, exist_ok=False, freeze=[0], global_rank=-1, hyp='data/hyp.scratch.p5.yaml', image_weights=False, img_size=[640, 640], label_smoothing=0.0, linear_lr=False, local_rank=-1, multi_scale=False, name='exp', noautoanchor=False, nosave=False, notest=False, project='runs/train', quad=False, rect=False, resume=False, save_dir='runs\train\exp2', save_period=-1, single_cls=False, sync_bn=False, total_batch_size=4, upload_dataset=False, v5_metric=False, weights='yolo7.pt', workers=0, world_size=1)

tensorboard: Start with 'tensorboard --logdir runs/train', view at http://localhost:6006/

hyperparameters: lr0=0.01, lrf=0.1, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.3, cls_pw=1.0, obj=0.7, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.2, scale=0.9, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.15, copy_paste=0.0, paste_in=0.15, loss_ota=1

Traceback (most recent call last):

File "D:yolov72yolov7-main2train.py", line 616, in <module>

train(hyp, opt, device, tb_writer)

File "D:yolov72yolov7-main2train.py", line 80, in train

assert len(names) == nc, '%g names found for nc=%g dataset in %s' % (len(names), nc, opt.data) # check

AssertionError: 1 names found for nc=2 dataset in data/VOC.yaml

wandb: Install Weights & Biases for YOLOR logging with 'pip install wandb' (recommended)