Font-To-Sketch / code /config.py
Badr AlKhamissi
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import argparse
import os.path as osp
import yaml
import random
from easydict import EasyDict as edict
import numpy.random as npr
import torch
from utils import (
edict_2_dict,
check_and_create_dir,
update)
import wandb
import warnings
warnings.filterwarnings("ignore")
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--config", type=str, default="code/config/base.yaml")
parser.add_argument("--experiment", type=str, default="conformal_0.5_dist_pixel_100_kernel201")
parser.add_argument("--seed", type=int, default=0)
parser.add_argument('--log_dir', metavar='DIR', default="output")
parser.add_argument('--font', type=str, default="none", help="font name")
parser.add_argument('--semantic_concept', type=str, help="the semantic concept to insert")
parser.add_argument('--word', type=str, default="none", help="the text to work on")
parser.add_argument('--prompt_suffix', type=str, default="minimal flat 2d vector. lineal color."
" trending on artstation")
parser.add_argument('--optimized_letter', type=str, default="none", help="the letter in the word to optimize")
parser.add_argument('--batch_size', type=int, default=1)
parser.add_argument('--use_wandb', type=int, default=0)
parser.add_argument('--wandb_user', type=str, default="none")
cfg = edict()
args = parser.parse_args()
with open('TOKEN', 'r') as f:
setattr(args, 'token', f.read().replace('\n', ''))
cfg.config = args.config
cfg.experiment = args.experiment
cfg.seed = args.seed
cfg.font = args.font
cfg.semantic_concept = args.semantic_concept
cfg.word = cfg.semantic_concept if args.word == "none" else args.word
if " " in cfg.word:
raise ValueError(f'no spaces are allowed')
if "jpeg" in args.semantic_concept:
cfg.caption = args.semantic_concept
else:
cfg.caption = f"a {args.semantic_concept}. {args.prompt_suffix}"
cfg.log_dir = f"{args.log_dir}/{args.experiment}_{cfg.word}"
if args.optimized_letter in cfg.word:
cfg.optimized_letter = args.optimized_letter
else:
raise ValueError(f'letter should be in word')
cfg.batch_size = args.batch_size
cfg.token = args.token
cfg.use_wandb = args.use_wandb
cfg.wandb_user = args.wandb_user
cfg.letter = f"{args.font}_{args.optimized_letter}_scaled"
cfg.target = f"code/data/init/{cfg.letter}"
return cfg
def set_config():
cfg_arg = parse_args()
with open(cfg_arg.config, 'r') as f:
cfg_full = yaml.load(f, Loader=yaml.FullLoader)
# recursively traverse parent_config pointers in the config dicts
cfg_key = cfg_arg.experiment
cfgs = [cfg_arg]
while cfg_key:
cfgs.append(cfg_full[cfg_key])
cfg_key = cfgs[-1].get('parent_config', 'baseline')
# allowing children configs to override their parents
cfg = edict()
for options in reversed(cfgs):
update(cfg, options)
del cfgs
# set experiment dir
signature = f"{cfg.letter}_concept_{cfg.semantic_concept}_seed_{cfg.seed}"
cfg.experiment_dir = \
osp.join(cfg.log_dir, cfg.font, signature)
configfile = osp.join(cfg.experiment_dir, 'config.yaml')
print('Config:', cfg)
# create experiment dir and save config
check_and_create_dir(configfile)
with open(osp.join(configfile), 'w') as f:
yaml.dump(edict_2_dict(cfg), f)
if cfg.use_wandb:
wandb.init(project="Word-As-Image", entity=cfg.wandb_user,
config=cfg, name=f"{signature}", id=wandb.util.generate_id())
if cfg.seed is not None:
random.seed(cfg.seed)
npr.seed(cfg.seed)
torch.manual_seed(cfg.seed)
torch.backends.cudnn.benchmark = False
else:
assert False
return cfg