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import logging
import os
import random
import warnings
from random import randint
import hydra
import numpy as np
import torch
from omegaconf import DictConfig
from field_construction.pipeline import FieldConstructionPipeline
def setup_seed(seed):
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
np.random.seed(seed)
random.seed(seed)
@hydra.main(config_path="configs", config_name="field_construction", version_base=None)
def main(cfg: DictConfig):
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
handlers=[logging.StreamHandler]
)
# ignore pil debug message.
pil_logger = logging.getLogger("PIL")
pil_logger.setLevel(logging.WARNING)
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
warnings.filterwarnings("ignore", category=FutureWarning)
setup_seed(42)
pipeline = FieldConstructionPipeline(cfg)
if cfg.pipeline.mode == "train":
pipeline.construct_field()
elif cfg.pipeline.mode == "render":
pipeline.render_result()
elif cfg.pipeline.mode == "eval":
pipeline.eval()
else:
raise NotImplementedError
if __name__ == "__main__":
main()
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