forked from PulseFocusPlatform/PulseFocusPlatform
66 lines
1.2 KiB
YAML
66 lines
1.2 KiB
YAML
architecture: YOLOv3
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pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ResNet50_vd_ssld_pretrained.pdparams
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norm_type: sync_bn
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use_ema: true
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ema_decay: 0.9998
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YOLOv3:
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backbone: ResNet
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neck: PPYOLOPAN
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yolo_head: YOLOv3Head
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post_process: BBoxPostProcess
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ResNet:
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depth: 50
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variant: d
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return_idx: [1, 2, 3]
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dcn_v2_stages: [3]
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freeze_at: -1
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freeze_norm: false
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norm_decay: 0.
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PPYOLOPAN:
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drop_block: true
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block_size: 3
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keep_prob: 0.9
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spp: true
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YOLOv3Head:
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anchors: [[10, 13], [16, 30], [33, 23],
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[30, 61], [62, 45], [59, 119],
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[116, 90], [156, 198], [373, 326]]
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anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
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loss: YOLOv3Loss
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iou_aware: true
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iou_aware_factor: 0.5
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YOLOv3Loss:
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ignore_thresh: 0.7
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downsample: [32, 16, 8]
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label_smooth: false
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scale_x_y: 1.05
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iou_loss: IouLoss
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iou_aware_loss: IouAwareLoss
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IouLoss:
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loss_weight: 2.5
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loss_square: true
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IouAwareLoss:
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loss_weight: 1.0
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BBoxPostProcess:
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decode:
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name: YOLOBox
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conf_thresh: 0.01
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downsample_ratio: 32
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clip_bbox: true
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scale_x_y: 1.05
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nms:
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name: MatrixNMS
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keep_top_k: 100
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score_threshold: 0.01
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post_threshold: 0.01
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nms_top_k: -1
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background_label: -1
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