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#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
import os | |
import yaml | |
import logging | |
import shutil | |
def set_logging(name=None): | |
rank = int(os.getenv('RANK', -1)) | |
logging.basicConfig(format="%(message)s", level=logging.INFO if (rank in (-1, 0)) else logging.WARNING) | |
return logging.getLogger(name) | |
LOGGER = set_logging(__name__) | |
NCOLS = shutil.get_terminal_size().columns | |
def load_yaml(file_path): | |
"""Load data from yaml file.""" | |
if isinstance(file_path, str): | |
with open(file_path, errors='ignore') as f: | |
data_dict = yaml.safe_load(f) | |
return data_dict | |
def save_yaml(data_dict, save_path): | |
"""Save data to yaml file""" | |
with open(save_path, 'w') as f: | |
yaml.safe_dump(data_dict, f, sort_keys=False) | |
def write_tblog(tblogger, epoch, results, losses): | |
"""Display mAP and loss information to log.""" | |
tblogger.add_scalar("val/mAP@0.5", results[0], epoch + 1) | |
tblogger.add_scalar("val/mAP@0.50:0.95", results[1], epoch + 1) | |
tblogger.add_scalar("train/iou_loss", losses[0], epoch + 1) | |
tblogger.add_scalar("train/l1_loss", losses[1], epoch + 1) | |
tblogger.add_scalar("train/obj_loss", losses[2], epoch + 1) | |
tblogger.add_scalar("train/cls_loss", losses[3], epoch + 1) | |