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- architecture: YOLOv3
- use_gpu: true
- max_iters: 70000
- log_smooth_window: 20
- save_dir: output
- snapshot_iter: 3000
- metric: VOC
- map_type: integral
- pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet34_vd_pretrained.tar
- weights: output/ppyolo_eb_voc/best_model
- num_classes: 20
- use_fine_grained_loss: true
- log_iter: 1000
- use_ema: true
- ema_decay: 0.9998
- YOLOv3:
- backbone: ResNet_EB
- yolo_head: EBHead
- ResNet_EB:
- norm_type: sync_bn
- freeze_at: 0
- freeze_norm: false
- norm_decay: 0.
- depth: 34
- variant: d
- feature_maps: [3, 4, 5]
- EBHead:
- 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
- YOLOv3Loss:
- 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:
- - 35000
- - 60000
- - !LinearWarmup
- start_factor: 0.
- steps: 4000
- OptimizerBuilder:
- optimizer:
- momentum: 0.9
- type: Momentum
- regularizer:
- factor: 0.0005
- type: L2
- _READER_: 'ppyolo_reader.yml'
- TrainReader:
- dataset:
- !VOCDataSet
- dataset_dir: dataset/voc
- anno_path: trainval.txt
- use_default_label: false
- with_background: false
- mixup_epoch: 200
- batch_size: 8
- EvalReader:
- inputs_def:
- image_shape: [3, 608, 608]
- fields: ['image', 'im_size', 'im_id', 'gt_bbox', 'gt_class', 'is_difficult']
- num_max_boxes: 50
- dataset:
- !VOCDataSet
- dataset_dir: dataset/voc
- anno_path: test.txt
- use_default_label: false
- with_background: false
- TestReader:
- dataset:
- !ImageFolder
- use_default_label: false
- with_background: false
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