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_base_ = './yolov8_m_syncbn_fast_8xb16-500e_coco.py' | |
# ========================modified parameters====================== | |
deepen_factor = 1.00 | |
widen_factor = 1.00 | |
last_stage_out_channels = 512 | |
mixup_prob = 0.15 | |
# =======================Unmodified in most cases================== | |
pre_transform = _base_.pre_transform | |
mosaic_affine_transform = _base_.mosaic_affine_transform | |
last_transform = _base_.last_transform | |
model = dict( | |
backbone=dict( | |
last_stage_out_channels=last_stage_out_channels, | |
deepen_factor=deepen_factor, | |
widen_factor=widen_factor), | |
neck=dict( | |
deepen_factor=deepen_factor, | |
widen_factor=widen_factor, | |
in_channels=[256, 512, last_stage_out_channels], | |
out_channels=[256, 512, last_stage_out_channels]), | |
bbox_head=dict( | |
head_module=dict( | |
widen_factor=widen_factor, | |
in_channels=[256, 512, last_stage_out_channels]))) | |
train_pipeline = [ | |
*pre_transform, *mosaic_affine_transform, | |
dict( | |
type='YOLOv5MixUp', | |
prob=mixup_prob, | |
pre_transform=[*pre_transform, *mosaic_affine_transform]), | |
*last_transform | |
] | |
train_dataloader = dict(dataset=dict(pipeline=train_pipeline)) | |