DDRNet

pip3 install -r requirements.txt

yum install mesa-libGL

wget http://www.zlib.net/fossils/zlib-1.2.9.tar.gz
tar xvf zlib-1.2.9.tar.gz
cd zlib-1.2.9/
./configure && make install

python3 setup.py build && cp build/lib.linux*/mmcv/_ext.cpython* mmcv

cityscapes/
├── gtFine
│   ├── test
│   ├── train
│   │   ├── aachen
│   │   └── bochum
│   └── val
│       ├── frankfurt
│       ├── lindau
│       └── munster
└── leftImg8bit
    ├── train
    │   ├── aachen
    │   └── bochum
    └── val
        ├── frankfurt
        ├── lindau
        └── munster

mkdir -p data/
ln -s /path/to/cityscapes data/

# Training on multiple cards
# "config" file can be found in the configs directory
bash train_dist.sh <config file> <num_gpus> [training args]

# Example
bash train_dist.sh configs/ddrnet/ddrnet_23_slim_512x1024_160k_cityscapes.py 4

# the dir to save logs and models
work-dir: str = None

# the checkpoint file to load weights from
load-from: str = None

# the checkpoint file to resume from
resume-from: str = None

# whether not to evaluate the checkpoint during training
no-validate: bool = False

# (Deprecated, please use --gpu-id) number of gpus to 
# use (only applicable to non-distributed training)
gpus: int = None

# (Deprecated, please use --gpu-id) ids of gpus to use 
# (only applicable to non-distributed training)
gpu-ids: int = None

# id of gpu to use (only applicable to non-distributed training)
gpu-id: int = 0

# random seed
seed: int = None

# Whether or not set different seeds for different ranks
diff_seed: bool = False

# whether to set deterministic options for CUDNN backend.
deterministic: bool = False

# --options is deprecated in favor of --cfg_options' and it 
# will not be supported in version v0.22.0. Override some 
# settings in the used config, the key-value pair in xxx=yyy 
# format will be merged into config file. If the value to be 
# overwritten is a list, it should be like key="[a,b]" or key=a,b 
# It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" 
# Note that the quotation marks are necessary and that no white space 
# is allowed.
options: str = None

# override some settings in the used config, the key-value pair 
# in xxx=yyy format will be merged into config file. If the value 
# to be overwritten is a list, it should be like key="[a,b]" or key=a,b 
# It also allows nested list/tuple values, e.g. key="[(a,b),(c,d)]" 
# Note that the quotation marks are necessary and that no white 
# space is allowed.
cfg-options: str = None

# job launcher
launcher: str = "none"

# local rank
local_rank: int = 0

# distributed backend
dist_backend: str = None

# resume from the latest checkpoint automatically.
auto-resume: bool = False