mirror of https://github.com/open-mmlab/mmyolo.git
83 lines
2.5 KiB
Python
83 lines
2.5 KiB
Python
_base_ = './yolov7_l_syncbn_fast_8x16b-300e_coco.py'
|
|
|
|
num_classes = _base_.num_classes
|
|
num_det_layers = _base_.num_det_layers
|
|
img_scale = _base_.img_scale
|
|
pre_transform = _base_.pre_transform
|
|
|
|
model = dict(
|
|
backbone=dict(
|
|
arch='Tiny', act_cfg=dict(type='LeakyReLU', negative_slope=0.1)),
|
|
neck=dict(
|
|
is_tiny_version=True,
|
|
in_channels=[128, 256, 512],
|
|
out_channels=[64, 128, 256],
|
|
block_cfg=dict(
|
|
_delete_=True, type='TinyDownSampleBlock', middle_ratio=0.25),
|
|
act_cfg=dict(type='LeakyReLU', negative_slope=0.1),
|
|
use_repconv_outs=False),
|
|
bbox_head=dict(
|
|
head_module=dict(in_channels=[128, 256, 512]),
|
|
loss_cls=dict(loss_weight=0.5 *
|
|
(num_classes / 80 * 3 / num_det_layers)),
|
|
loss_obj=dict(loss_weight=1.0 *
|
|
((img_scale[0] / 640)**2 * 3 / num_det_layers))))
|
|
|
|
mosiac4_pipeline = [
|
|
dict(
|
|
type='Mosaic',
|
|
img_scale=img_scale,
|
|
pad_val=114.0,
|
|
pre_transform=pre_transform),
|
|
dict(
|
|
type='YOLOv5RandomAffine',
|
|
max_rotate_degree=0.0,
|
|
max_shear_degree=0.0,
|
|
max_translate_ratio=0.1, # change
|
|
scaling_ratio_range=(0.5, 1.6), # change
|
|
# img_scale is (width, height)
|
|
border=(-img_scale[0] // 2, -img_scale[1] // 2),
|
|
border_val=(114, 114, 114)),
|
|
]
|
|
|
|
mosiac9_pipeline = [
|
|
dict(
|
|
type='Mosaic9',
|
|
img_scale=img_scale,
|
|
pad_val=114.0,
|
|
pre_transform=pre_transform),
|
|
dict(
|
|
type='YOLOv5RandomAffine',
|
|
max_rotate_degree=0.0,
|
|
max_shear_degree=0.0,
|
|
max_translate_ratio=0.1, # change
|
|
scaling_ratio_range=(0.5, 1.6), # change
|
|
border=(-img_scale[0] // 2, -img_scale[1] // 2),
|
|
border_val=(114, 114, 114)),
|
|
]
|
|
|
|
randchoice_mosaic_pipeline = dict(
|
|
type='RandomChoice',
|
|
transforms=[mosiac4_pipeline, mosiac9_pipeline],
|
|
prob=[0.8, 0.2])
|
|
|
|
train_pipeline = [
|
|
*pre_transform,
|
|
randchoice_mosaic_pipeline,
|
|
dict(
|
|
type='YOLOv5MixUp',
|
|
alpha=8.0,
|
|
beta=8.0,
|
|
prob=0.05, # change
|
|
pre_transform=[*pre_transform, randchoice_mosaic_pipeline]),
|
|
dict(type='YOLOv5HSVRandomAug'),
|
|
dict(type='mmdet.RandomFlip', prob=0.5),
|
|
dict(
|
|
type='mmdet.PackDetInputs',
|
|
meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', 'flip',
|
|
'flip_direction'))
|
|
]
|
|
|
|
train_dataloader = dict(dataset=dict(pipeline=train_pipeline))
|
|
default_hooks = dict(param_scheduler=dict(lr_factor=0.01))
|