_base_ = './yolov6_s_syncbn_fast_8xb32-400e_coco.py'
# ======================= Frequently modified parameters =====================
# -----train val related-----
# Base learning rate for optim_wrapper
max_epochs = 300 # Maximum training epochs
num_last_epochs = 15 # Last epoch number to switch training pipeline
# ============================== Unmodified in most cases ===================
default_hooks = dict(
param_scheduler=dict(
type='YOLOv5ParamSchedulerHook',
scheduler_type='cosine',
lr_factor=0.01,
max_epochs=max_epochs))
custom_hooks = [
dict(
type='EMAHook',
ema_type='ExpMomentumEMA',
momentum=0.0001,
update_buffers=True,
strict_load=False,
priority=49),
type='mmdet.PipelineSwitchHook',
switch_epoch=max_epochs - num_last_epochs,
switch_pipeline=_base_.train_pipeline_stage2)
]
train_cfg = dict(
max_epochs=max_epochs,
dynamic_intervals=[(max_epochs - num_last_epochs, 1)])
