Created by: DavidFangx

如：yolov3_r50vd_dcn_db_iouloss_obj365_pretrained_coco.yml architecture: YOLOv3 use_gpu: false max_iters: 85000 log_smooth_window: 20 save_dir: output snapshot_iter: 10000 metric: COCO pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/ResNet50_vd_dcn_db_obj365_pretrained.tar weights: output/yolov3_r50vd_dcn_db_iouloss_obj365_pretrained_coco/model_final num_classes: 80 use_fine_grained_loss: true

YOLOv3: backbone: ResNet yolo_head: YOLOv3Head use_fine_grained_loss: true

ResNet: norm_type: sync_bn freeze_at: 0 freeze_norm: false norm_decay: 0. depth: 50 feature_maps: [3, 4, 5] variant: d dcn_v2_stages: [5]

YOLOv3Head: anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]] anchors: [[10, 13], [16, 30], [33, 23], [30, 61], [62, 45], [59, 119], [116, 90], [156, 198], [373, 326]] norm_decay: 0. yolo_loss: YOLOv3Loss nms: background_label: -1 keep_top_k: 100 nms_threshold: 0.45 nms_top_k: 1000 normalized: false score_threshold: 0.01 drop_block: true

YOLOv3Loss: batch_size: 8 ignore_thresh: 0.7 label_smooth: false use_fine_grained_loss: true iou_loss: IouLoss

IouLoss: loss_weight: 2.5 max_height: 608 max_width: 608

LearningRate: base_lr: 0.001 schedulers:

• !PiecewiseDecay gamma: 0.1 milestones:
  • 55000
  • 75000
• !LinearWarmup start_factor: 0. steps: 4000

OptimizerBuilder: optimizer: momentum: 0.9 type: Momentum regularizer: factor: 0.0005 type: L2

READER: 'yolov3_enhance_reader.yml'