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- # YOLOv6t model
- model = dict(
- type='YOLOv6t',
- pretrained=None,
- depth_multiple=0.25,
- width_multiple=0.50,
- backbone=dict(
- type='EfficientRep',
- num_repeats=[1, 6, 12, 18, 6],
- out_channels=[64, 128, 256, 512, 1024],
- ),
- neck=dict(
- type='RepPAN',
- num_repeats=[12, 12, 12, 12],
- out_channels=[256, 128, 128, 256, 256, 512],
- ),
- head=dict(
- type='EffiDeHead',
- in_channels=[128, 256, 512],
- num_layers=3,
- begin_indices=24,
- anchors=1,
- out_indices=[17, 20, 23],
- strides=[8, 16, 32],
- iou_type='ciou'
- )
- )
- solver = dict(
- optim='SGD',
- lr_scheduler='Cosine',
- lr0=0.01,
- lrf=0.01,
- momentum=0.937,
- weight_decay=0.0005,
- warmup_epochs=3.0,
- warmup_momentum=0.8,
- warmup_bias_lr=0.1
- )
- data_aug = dict(
- hsv_h=0.015,
- hsv_s=0.7,
- hsv_v=0.4,
- degrees=0.0,
- translate=0.1,
- scale=0.5,
- shear=0.0,
- flipud=0.0,
- fliplr=0.5,
- mosaic=1.0,
- mixup=0.0,
- )
|