src/parser/recognition.py

import os

from .base import argparse, add_misc_options, add_cuda_options, adding_cuda
from .tools import save_args
from .dataset import add_dataset_options
from .training import add_training_options
from .checkpoint import construct_checkpointname


def training_parser():
    parser = argparse.ArgumentParser()
    
    # misc options
    add_misc_options(parser)
    
    # training options
    add_training_options(parser)

    # dataset options
    add_dataset_options(parser)

    # model options
    add_cuda_options(parser)
    
    opt = parser.parse_args()
    
    # remove None params, and create a dictionnary
    parameters = {key: val for key, val in vars(opt).items() if val is not None}

    parameters["modelname"] = "recognition"
    
    if "folder" not in parameters:
        parameters["folder"] = construct_checkpointname(parameters,
                                                        parameters["expname"])

    os.makedirs(parameters["folder"], exist_ok=True)
    save_args(parameters, folder=parameters["folder"])

    adding_cuda(parameters)
    
    return parameters