For My Information For My Information

Traceback (most recent call last): File "", line 1, in File "tensorflow/__init__.py", line 24, in from tensorflow.python import * # pylint: disable=redefined-builtin File "tensorflow/python/__init__.py", line 49, in from tensorflow.python import pywrap_tensorflow File "tensorflow/python/pywrap_tensorflow.py", line 25, in from tensorflow.python.platform import self_check 해결방법:tensorflow 빌드한 폴더 말고..

import os, sys, glob, argparse, importlibos.environ['GLOG_minloglevel'] = '2' # 0 : debug, 1: info, 2: warnings, 3: errorsos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' # do not print loading messageos.environ['CUDA_VISIBLE_DEVICES'] = '-1' # do not use gpu

https://www.programcreek.com/python/example/104218/caffe.proto.caffe_pb2.NetParameter https://learningcarrot.wordpress.com/2015/10/25/protocol-buffers-in-caffe/

한번에 파일 읽기open(path, 'r').read().splitlines()

REFERENCEhttps://www.pythoncentral.io/fun-with-python-function-parameters/ MY EXAMPLEdef get_image_dir(db_name, *args, **kwargs): func = eval('_%s_get_image_dir'%db_name.lower()) return func(*args, **kwargs) def _kitti_get_image_dir(data_root, split): split_dir = 'testing' if 'test' in split else 'training' image_dir = '%s/data_object_image_2/%s/image_2'%(data_root, split_dir) return image_dir >..

특정 gpu에만 gpu 할당하는 방법 Bash에서 실행 시 반영하려면 CUDA_VISIBLE_DEVICES=1 [command]CUDA_VISIBLE_DEVICES=1,2,3 [command] CUDA_VISIBLE_DEVICES 파이썬에서 코딩하기 출처https://stackoverflow.com/questions/37893755/tensorflow-set-cuda-visible-devices-within-jupyter/37901914import osos.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"os.environ["CUDA_VISIBLE_DEVICES"] = "0"

https://developers.google.com/gmail/markup/reference/event-reservation#sports_or_music_event_with_ticket

sudo ln -sf /usr/share/zoneinfo/Asia/Seoul /etc/localtime #set timezone to Seoul vi /etc/ntp.conf server 다 주석처리server time.windows.com 추가 sudo service ntp restart sudo service ntp stop sudo ntpd -gq # sync timesudo service ntp start