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gta2cs_uda_warm_fdthings_rcs_croppl_a999_daformer_mitb5_s0.py
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gta2cs_uda_warm_fdthings_rcs_croppl_a999_daformer_mitb5_s0.py
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# ---------------------------------------------------------------
# Copyright (c) 2021-2022 ETH Zurich, Lukas Hoyer. All rights reserved.
# Licensed under the Apache License, Version 2.0
# ---------------------------------------------------------------
_base_ = [
'../_base_/default_runtime.py',
# DAFormer Network Architecture
'../_base_/models/daformer_sepaspp_mitb5.py',
# GTA->Cityscapes Data Loading
'../_base_/datasets/uda_gta_to_cityscapes_512x512.py',
# Basic UDA Self-Training
'../_base_/uda/dacs.py',
# AdamW Optimizer
'../_base_/schedules/adamw.py',
# Linear Learning Rate Warmup with Subsequent Linear Decay
'../_base_/schedules/poly10warm.py'
]
# Random Seed
seed = 0
# Modifications to Basic UDA
uda = dict(
# Increased Alpha
alpha=0.999,
# Thing-Class Feature Distance
imnet_feature_dist_lambda=0.005,
imnet_feature_dist_classes=[6, 7, 11, 12, 13, 14, 15, 16, 17, 18],
imnet_feature_dist_scale_min_ratio=0.75,
# Pseudo-Label Crop
pseudo_weight_ignore_top=15,
pseudo_weight_ignore_bottom=120)
data = dict(
train=dict(
# Rare Class Sampling
rare_class_sampling=dict(
min_pixels=3000, class_temp=0.01, min_crop_ratio=0.5)))
# Optimizer Hyperparameters
optimizer_config = None
optimizer = dict(
lr=6e-05,
paramwise_cfg=dict(
custom_keys=dict(
head=dict(lr_mult=10.0),
pos_block=dict(decay_mult=0.0),
norm=dict(decay_mult=0.0))))
n_gpus = 1
runner = dict(type='IterBasedRunner', max_iters=40000)
# Logging Configuration
checkpoint_config = dict(by_epoch=False, interval=40000, max_keep_ckpts=1)
evaluation = dict(interval=4000, metric='mIoU')
# Meta Information for Result Analysis
name = 'gta2cs_uda_warm_fdthings_rcs_croppl_a999_daformer_mitb5_s0'
exp = 'basic'
name_dataset = 'gta2cityscapes'
name_architecture = 'daformer_sepaspp_mitb5'
name_encoder = 'mitb5'
name_decoder = 'daformer_sepaspp'
name_uda = 'dacs_a999_fd_things_rcs0.01_cpl'
name_opt = 'adamw_6e-05_pmTrue_poly10warm_1x2_40k'