metric: COCO
num_classes: 10

# Datset configuration
TrainDataset:
  !COCODataSet
    image_dir: train_images_640_025
    anno_path: train_640_025.json
    dataset_dir: dataset/visdrone_sliced

EvalDataset:
  !COCODataSet
    image_dir: val_images_640_025
    anno_path: val_640_025.json
    dataset_dir: dataset/visdrone_sliced
worker_num: 0

# preprocess reader in test
EvalReader:
  sample_transforms:
    - Decode: {}
    - Resize: {target_size: [640, 640], keep_ratio: False, interp: 2}
    #- NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
    - Permute: {}
  batch_size: 16
