tm924222

使用自定义的数据集运行时，每次都是这两个损失为0， loss_bbox: 0.0000 和 loss_dfl:0.0000

38

_base_ = ('../../third_party/mmyolo/configs/yolov8/' 'yolov8_l_syncbn_fast_8xb16-500e_coco.py') custom_imports = dict(imports=['yolo_world'], allow_failed_imports=False) # hyper-parameters num_classes = 6 num_training_classes = 6 max_epochs = 80 # Maximum training epochs close_mosaic_epochs = 30 save_epoch_intervals = 5 text_channels...

如何使用自定义的数据集运行finetune_coco里的位置文件？

2

如何配置数据集的格式，每次运行都会报list index out of range的错误

Have the parameters of pre trained YOLOv8 been loaded into the model？Just like this backbone=dict( type='ResNet', depth=50, num_stages=4, out_indices=(0, 1, 2, 3), frozen_stages=1, norm_cfg=dict(type='BN', requires_grad=True), norm_eval=True, **init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'),** style='pytorch'),

作者您好，我在测试的您的代码的时候，并没有看到有评价指标什么的

A problem has arisen：ValueError: Key img_path is not in available keys.

2