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print(f'Média de varios parametros: {calcula_media1(10, 5, 8, 9, 10, 7, 6, 2)}')
print()
# Funções com varios parametros: Quando utilizamos dois ** em parametros, quer dizer que posso passar varios argumentos e esses argumentos são armazenados em
# um dicionario().
def print_info(**kwargs):
print(kwargs, type(kwargs))
print_info(nome='Diego', sobrenome='Dantas')
# <FILESEP>
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Developed by Shangchen Zhou <shangchenzhou@gmail.com>
import matplotlib
import os
# Fix problem: no $DISPLAY environment variable
matplotlib.use('Agg')
# Fix problem: possible deadlock in dataloader
# import cv2
# cv2.setNumThreads(0)
from argparse import ArgumentParser
from pprint import pprint
from config import cfg
from core.build import bulid_net
import torch
def get_args_from_command_line():
parser = ArgumentParser(description='Parser of Runner of Network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU device id to use [cuda]', default=cfg.CONST.DEVICE, type=str)
parser.add_argument('--phase', dest='phase', help='phase of CNN', default=cfg.NETWORK.PHASE, type=str)
parser.add_argument('--weights', dest='weights', help='Initialize network from the weights file', default=cfg.CONST.WEIGHTS, type=str)
parser.add_argument('--data', dest='data_path', help='Set dataset root_path', default=cfg.DIR.DATASET_ROOT, type=str)
parser.add_argument('--out', dest='out_path', help='Set output path', default=cfg.DIR.OUT_PATH)
args = parser.parse_args()
return args
def main():
# Get args from command line
args = get_args_from_command_line()
if args.gpu_id is not None:
cfg.CONST.DEVICE = args.gpu_id
if args.phase is not None:
cfg.NETWORK.PHASE = args.phase
if args.weights is not None:
cfg.CONST.WEIGHTS = args.weights
if args.data_path is not None:
cfg.DIR.DATASET_ROOT = args.data_path
if cfg.DATASET.DATASET_NAME == 'VideoDeblur':
cfg.DIR.IMAGE_BLUR_PATH = os.path.join(args.data_path,'%s/%s/input/%s.jpg')
cfg.DIR.IMAGE_CLEAR_PATH = os.path.join(args.data_path,'%s/%s/GT/%s.jpg')
if cfg.DATASET.DATASET_NAME == 'VideoDeblurReal':
cfg.DIR.IMAGE_BLUR_PATH = os.path.join(args.data_path,'%s/%s/input/%s.jpg')
cfg.DIR.IMAGE_CLEAR_PATH = os.path.join(args.data_path,'%s/%s/input/%s.jpg')
if args.out_path is not None:
cfg.DIR.OUT_PATH = args.out_path
# Print config
print('Use config:')
pprint(cfg)
# Set GPU to use
if type(cfg.CONST.DEVICE) == str and not cfg.CONST.DEVICE == 'all':
os.environ["CUDA_VISIBLE_DEVICES"] = cfg.CONST.DEVICE
print('CUDA DEVICES NUMBER: '+ str(torch.cuda.device_count()))
# Setup Network & Start train/test process
bulid_net(cfg)
if __name__ == '__main__':
main()
# <FILESEP>
#
# For licensing see accompanying LICENSE file.
# Copyright (C) 2022-2023 Apple Inc. All Rights Reserved.
#
# Usage: python train_ScanNet_DDP_WarmUP.py --config config_file
# example config files can be found in ./configs/
import os
import time
import datetime
import argparse
import shutil