forked from PulseFocusPlatform/PulseFocusPlatform
65 lines
1.2 KiB
YAML
65 lines
1.2 KiB
YAML
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architecture: YOLOv3
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use_gpu: true
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max_iters: 500000
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log_iter: 20
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save_dir: output
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snapshot_iter: 10000
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metric: COCO
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pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV3_large_x1_0_pretrained.tar
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weights: output/yolov3_mobilenet_v3/model_final
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num_classes: 80
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use_fine_grained_loss: false
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YOLOv3:
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backbone: MobileNetV3
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yolo_head: YOLOv3Head
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MobileNetV3:
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norm_type: sync_bn
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norm_decay: 0.
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model_name: large
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scale: 1.
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extra_block_filters: []
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feature_maps: [1, 2, 3, 4, 6]
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YOLOv3Head:
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anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
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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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norm_decay: 0.
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yolo_loss: YOLOv3Loss
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nms:
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background_label: -1
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keep_top_k: 100
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nms_threshold: 0.45
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nms_top_k: 1000
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normalized: false
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score_threshold: 0.01
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YOLOv3Loss:
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ignore_thresh: 0.7
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label_smooth: false
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LearningRate:
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base_lr: 0.001
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schedulers:
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- !PiecewiseDecay
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gamma: 0.1
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milestones:
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- 400000
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- 450000
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- !LinearWarmup
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start_factor: 0.
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steps: 4000
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OptimizerBuilder:
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optimizer:
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momentum: 0.9
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type: Momentum
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regularizer:
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factor: 0.0005
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type: L2
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_READER_: 'yolov3_reader.yml'
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