_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  '../yolov3/_base_/optimizer_270e.yml',
  '../yolov3/_base_/yolov3_darknet53.yml',
  '../yolov3/_base_/yolov3_reader.yml',
]

snapshot_epoch: 5
weights: https://paddledet.bj.bcebos.com/models/vehicle_yolov3_darknet.pdparams

YOLOv3Head:
  anchors: [[8, 9], [10, 23], [19, 15],
            [23, 33], [40, 25], [54, 50],
            [101, 80], [139, 145], [253, 224]]

BBoxPostProcess:
  nms:
    name: MultiClassNMS
    keep_top_k: 100
    score_threshold: 0.005
    nms_threshold: 0.45
    nms_top_k: 400

num_classes: 6

TrainDataset:
  !COCODataSet
    dataset_dir: dataset/vehicle
    anno_path: annotations/instances_train2017.json
    image_dir: train2017
    data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']

EvalDataset:
  !COCODataSet
    dataset_dir: dataset/vehicle
    anno_path: annotations/instances_val2017.json
    image_dir: val2017

TestDataset:
  !ImageFolder
    anno_path: configs/vehicle/vehicle.json