_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),
    dict(
        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)])