_BASE_: [
  'ppyoloe_crn_l_80e_sliced_visdrone_640_025.yml',
]
weights: https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_80e_sliced_visdrone_640_025.pdparams


# very slow, better to use the determined weight (xx. pdparams) to evaluate separately, rather than evaling during training
# if you want to eval during training, change SlicedCOCODataSet to COCODataSet, then delete sliced_size and overlap_ratio
EvalDataset:
  !SlicedCOCODataSet
    image_dir: VisDrone2019-DET-val
    anno_path: val.json
    dataset_dir: dataset/visdrone
    sliced_size: [640, 640]
    overlap_ratio: [0.25, 0.25]
