_base_ = './yolox_s.py'

# model settings
model = dict(
    data_preprocessor=dict(batch_augments=[
        dict(
            type='BatchSyncRandomResize',
            random_size_range=(320, 640),
            size_divisor=32,
            interval=10)
    ]),
    backbone=dict(deepen_factor=0.33, widen_factor=0.375),
    neck=dict(in_channels=[96, 192, 384], out_channels=96),
    bbox_head=dict(in_channels=96, feat_channels=96))
