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_base_ = './yolox_s_fast_8xb8-300e_coco.py'
# ========================modified parameters======================
deepen_factor = 0.33
widen_factor = 0.375
scaling_ratio_range = (0.5, 1.5)
# =======================Unmodified in most cases==================
img_scale = _base_.img_scale
pre_transform = _base_.pre_transform
test_img_scale = (416, 416)
tta_img_scales = [test_img_scale, (320, 320), (640, 640)]
# model settings
model = dict(
data_preprocessor=dict(batch_augments=[
dict(
type='YOLOXBatchSyncRandomResize',
random_size_range=(320, 640),
size_divisor=32,
interval=10)
]),
backbone=dict(deepen_factor=deepen_factor, widen_factor=widen_factor),
neck=dict(deepen_factor=deepen_factor, widen_factor=widen_factor),
bbox_head=dict(head_module=dict(widen_factor=widen_factor)))
train_pipeline_stage1 = [
*pre_transform,
dict(
type='Mosaic',
img_scale=img_scale,
pad_val=114.0,
pre_transform=pre_transform),
dict(
type='mmdet.RandomAffine',
scaling_ratio_range=scaling_ratio_range, # note
# img_scale is (width, height)
border=(-img_scale[0] // 2, -img_scale[1] // 2)),
dict(type='mmdet.YOLOXHSVRandomAug'),
dict(type='mmdet.RandomFlip', prob=0.5),
dict(
type='mmdet.FilterAnnotations',
min_gt_bbox_wh=(1, 1),
keep_empty=False),
dict(
type='mmdet.PackDetInputs',
meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', 'flip',
'flip_direction'))
]
test_pipeline = [
dict(type='LoadImageFromFile', backend_args=_base_.backend_args),
dict(type='mmdet.Resize', scale=test_img_scale, keep_ratio=True), # note
dict(
type='mmdet.Pad',
pad_to_square=True,
pad_val=dict(img=(114.0, 114.0, 114.0))),
dict(type='LoadAnnotations', with_bbox=True, _scope_='mmdet'),
dict(
type='mmdet.PackDetInputs',
meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
'scale_factor'))
]
train_dataloader = dict(dataset=dict(pipeline=train_pipeline_stage1))
val_dataloader = dict(dataset=dict(pipeline=test_pipeline))
test_dataloader = val_dataloader
# Config for Test Time Augmentation. (TTA)
tta_pipeline = [
dict(type='LoadImageFromFile', backend_args=_base_.backend_args),
dict(
type='TestTimeAug',
transforms=[
[
dict(type='mmdet.Resize', scale=s, keep_ratio=True)
for s in tta_img_scales
],
[
# ``RandomFlip`` must be placed before ``Pad``, otherwise
# bounding box coordinates after flipping cannot be
# recovered correctly.
dict(type='mmdet.RandomFlip', prob=1.),
dict(type='mmdet.RandomFlip', prob=0.)
],
[
dict(
type='mmdet.Pad',
pad_to_square=True,
pad_val=dict(img=(114.0, 114.0, 114.0))),
],
[
dict(
type='mmdet.PackDetInputs',
meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
'scale_factor', 'flip', 'flip_direction'))
]
])
]
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