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- architecture: YOLOv3
- pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/MobileNetV3_large_x0_5_pretrained.pdparams
- norm_type: sync_bn
- use_ema: true
- ema_decay: 0.9998
- YOLOv3:
- backbone: MobileNetV3
- neck: PPYOLOTinyFPN
- yolo_head: YOLOv3Head
- post_process: BBoxPostProcess
- MobileNetV3:
- model_name: large
- scale: .5
- with_extra_blocks: false
- extra_block_filters: []
- feature_maps: [7, 13, 16]
- PPYOLOTinyFPN:
- detection_block_channels: [160, 128, 96]
- spp: true
- drop_block: true
- YOLOv3Head:
- anchors: [[10, 15], [24, 36], [72, 42],
- [35, 87], [102, 96], [60, 170],
- [220, 125], [128, 222], [264, 266]]
- anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
- loss: YOLOv3Loss
- YOLOv3Loss:
- ignore_thresh: 0.5
- downsample: [32, 16, 8]
- label_smooth: false
- scale_x_y: 1.05
- iou_loss: IouLoss
- IouLoss:
- loss_weight: 2.5
- loss_square: true
- BBoxPostProcess:
- decode:
- name: YOLOBox
- conf_thresh: 0.005
- downsample_ratio: 32
- clip_bbox: true
- scale_x_y: 1.05
- nms:
- name: MultiClassNMS
- keep_top_k: 100
- nms_threshold: 0.45
- nms_top_k: 1000
- score_threshold: 0.005
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