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- architecture: YOLOv3
- use_gpu: true
- max_iters: 450000
- log_iter: 100
- save_dir: output
- snapshot_iter: 10000
- metric: COCO
- pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_vd_ssld_pretrained.tar
- weights: output/ppyolov2_r101vd_dcn/model_final
- num_classes: 80
- use_fine_grained_loss: true
- use_ema: true
- ema_decay: 0.9998
- YOLOv3:
- backbone: ResNet
- yolo_head: YOLOv3PANHead
- use_fine_grained_loss: true
- ResNet:
- norm_type: sync_bn
- freeze_at: 0
- freeze_norm: false
- norm_decay: 0.
- depth: 101
- feature_maps: [3, 4, 5]
- variant: d
- dcn_v2_stages: [5]
- YOLOv3PANHead:
- 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.
- iou_aware: true
- iou_aware_factor: 0.5
- scale_x_y: 1.05
- spp: true
- yolo_loss: YOLOv3Loss
- nms: MatrixNMS
- drop_block: true
- YOLOv3Loss:
- ignore_thresh: 0.7
- scale_x_y: 1.05
- label_smooth: false
- use_fine_grained_loss: true
- iou_loss: IouLoss
- iou_aware_loss: IouAwareLoss
- IouLoss:
- loss_weight: 2.5
- max_height: 768
- max_width: 768
- IouAwareLoss:
- loss_weight: 1.0
- max_height: 768
- max_width: 768
- MatrixNMS:
- background_label: -1
- keep_top_k: 100
- normalized: false
- score_threshold: 0.01
- post_threshold: 0.01
- LearningRate:
- base_lr: 0.005
- schedulers:
- - !PiecewiseDecay
- gamma: 0.1
- milestones:
- - 300000
- - !LinearWarmup
- start_factor: 0.
- steps: 4000
- OptimizerBuilder:
- clip_grad_by_norm: 35.
- optimizer:
- momentum: 0.9
- type: Momentum
- regularizer:
- factor: 0.0005
- type: L2
- _READER_: 'ppyolov2_reader.yml'
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