参数记录

标签：anno 记录 dataset detection 参数 path yml dir

dog_detection.yml路径一键修改：

metric: COCO
num_classes: 4

TrainDataset:
  !COCODataSet
    image_dir: images
    anno_path: annotations/train.json
    dataset_dir: /home/aistudio/data/robot_dog_dataset/detection/
    data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']

EvalDataset:
  !COCODataSet
    image_dir: images
    anno_path: annotations/val.json
    dataset_dir: /home/aistudio/data/robot_dog_dataset/detection/

TestDataset:
  !ImageFolder
    anno_path: annotations/val.json # also support txt (like VOC's label_list.txt)
    dataset_dir: /home/aistudio/data/robot_dog_dataset/detection/ # if set, anno_path will be 'dataset_dir/anno_path'

View Code

2023年4月21日10:39

环境：V100 32G

dog_detection.yml

num_classes:4

optimizer_80e.yml

epoch: 600 base_lr: 0.000125

ppyoloe_plus_reader.yml

TrainReader:   batch_transforms:     - NormalizeImage: {mean: [0.9335411,0.9335429,0.9335709], std: [0.09545881,0.09532484,0.0950378], norm_type: none}   batch_size: 32   EvalReader:   sample_transforms:     - NormalizeImage: {mean: [0.9335411,0.9335429,0.9335709], std: [0.09545881,0.09532484,0.0950378], norm_type: none}   batch_size: 4   TestReader:   sample_transforms:     - NormalizeImage: {mean: [0.9335411,0.9335429,0.9335709], std: [0.09545881,0.09532484,0.0950378], norm_type: none}  

yolov3_darknet53.yml

具体路径：/home/aistudio/PaddleDetection/configs/yolov3/_base_/yolov3_darknet53.yml YOLOv3Loss:   label_smooth: true

 

标签：anno,记录,dataset,detection,参数,path,yml,dir
From： https://www.cnblogs.com/yonuyeung/p/17339520.html