问题:使用飞桨paddleDetection训练自带的pp-yoloV2模型,出现如下问题,loss_xy,loss_wh,loss_iou一直是0不变化,请问这是什么问题?要如何解决?orz
问题描述:
[04/07 17:13:30] ppdet.engine INFO: Epoch: [0] [0/6] learning_rate: 0.000000 loss_xy: 0.000000 loss_wh: 0.000000 loss_iou: 0.000000 loss_iou_aware: 0.000000 loss_obj: 23130.347656 loss_cls: 0.000000 loss: 23130.347656 eta: 5:16:04 batch_cost: 31.6070 data_cost: 28.7202 ips: 0.5062 images/s
[04/07 17:15:18] ppdet.engine INFO: Epoch: [1] [0/6] learning_rate: 0.000005 loss_xy: 0.000000 loss_wh: 0.000000 loss_iou: 0.000000 loss_iou_aware: 0.000000 loss_obj: 17006.371094 loss_cls: 0.000000 loss: 17006.371094 eta: 3:16:45 batch_cost: 19.8739 data_cost: 18.9752 ips: 0.8051 images/s
[04/07 17:16:48] ppdet.engine INFO: Epoch: [2] [0/6] learning_rate: 0.000010 loss_xy: 0.000000 loss_wh: 0.000000 loss_iou: 0.000000 loss_iou_aware: 0.000000 loss_obj: 18873.402344 loss_cls: 0.000000 loss: 18873.402344 eta: 2:52:00 batch_cost: 17.5514 data_cost: 16.7636 ips: 0.9116 images/s
[04/07 17:18:28] ppdet.engine INFO: Epoch: [3] [0/6] learning_rate: 0.000015 loss_xy: 0.000000 loss_wh: 0.000000 loss_iou: 0.000000 loss_iou_aware: 0.000000 loss_obj: 17006.371094 loss_cls: 0.000000 loss: 17006.371094 eta: 2:47:02 batch_cost: 17.2205 data_cost: 16.4887 ips: 0.9291 images/s
配置文件详细信息:
是自建数据集,自己label标注的VOC格式;
数据集文件结构为:
├── data
│ ├── line
│ │ ├── Images
│ │ ├── annotations
│ │ ├── train.txt
│ │ ├── label_list.txt
│ │ ├── val.txt
配置文件只修改了:
TrainReader:
mixup_epoch: 200
batch_size: 16
num_classes: 1
metric: VOC
map_type: 11point
num_classes: 1
TrainDataset:
name: VOCDataSet
dataset_dir: /home/aistudio/data/line
anno_path: /home/aistudio/data/line/train.txt
label_list: /home/aistudio/data/line/label_list.txt
data_fields: ['image', 'gt_bbox', 'gt_class', 'difficult']
EvalDataset:
name: VOCDataSet
dataset_dir: /home/aistudio/data/line
anno_path: /home/aistudio/data/line/val.txt
label_list: /home/aistudio/data/line/label_list.txt
data_fields: ['image', 'gt_bbox', 'gt_class', 'difficult']
TestDataset:
name: ImageFolder
anno_path: /home/aistudio/data/line/label_list.txt