sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.7
sudo apt install python3-pip
sudo apt install python3-venv
sudo apt install python3-dev
sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.7
sudo apt install python3-pip
sudo apt install python3-venv
sudo apt install python3-dev
pip3 install --upgrade tensorflow requests
python3
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
mkdir tensorflow
cd tensorflow
git clone https://github.com/tensorflow/models.git
export PYTHONPATH="$PYTHONPATH:$(pwd)/models"
cd models/official/r1/mnist
python3 mnist.py
pip3 show tensorflow
Name: tensorflow
Version: 1.14.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /home/xxx/.local/lib/python3.6/site-packages
Requires: astor, protobuf, termcolor, gast, numpy, google-pasta, absl-py, six, tensorflow-estimator, tensorboard, keras-applications, wrapt, wheel, grpcio, keras-preprocessing
cd /home/xxx/.local/lib/python3.6/site-packages/tensorboard
python3 main.py --logdir=/tmp/log_file
ufw allow 6006
http://x.x.x.x:6006
2020년 2월 6일 목요일
2020년 2월 3일 월요일
[C#] 압축 해제
class Program
{
static void Main(String[] args)
{
string zipPath = "...";
string extractPath = Path.GetFullPath("...");
System.Text.Encoding.RegisterProvider(System.Text.CodePagesEncodingProvider.Instance);
System.Text.Encoding euckr = System.Text.Encoding.GetEncoding(949);
ZipFile.ExtractToDirectory(zipPath, extractPath, euckr);
}
}
{
static void Main(String[] args)
{
string zipPath = "...";
string extractPath = Path.GetFullPath("...");
System.Text.Encoding.RegisterProvider(System.Text.CodePagesEncodingProvider.Instance);
System.Text.Encoding euckr = System.Text.Encoding.GetEncoding(949);
ZipFile.ExtractToDirectory(zipPath, extractPath, euckr);
}
}
2019년 12월 19일 목요일
[PyQt5] QTableWidget 에서 row 구하기
for model_index in self.tableWidget.selectionModel().selectedRows():
row = model_index.row()
row = model_index.row()
2019년 10월 28일 월요일
[Python] python 으로 프로그램 목록 구하기
import win32com.client strComputer = "." objWMIService = win32com.client.Dispatch("WbemScripting.SWbemLocator") objSWbemServices = objWMIService.ConnectServer(strComputer,"root\cimv2") colItems = objSWbemServices.ExecQuery("Select * from Win32_Product") for objItem in colItems: print "Caption: ", objItem.Caption print "Description: ", objItem.Description print "Identifying Number: ", objItem.IdentifyingNumber print "Install Date: ", objItem.InstallDate print "Install Date 2: ", objItem.InstallDate2 print "Install Location: ", objItem.InstallLocation print "Install State: ", objItem.InstallState print "Name: ", objItem.Name print "Package Cache: ", objItem.PackageCache print "SKU Number: ", objItem.SKUNumber print "Vendor: ", objItem.Vendor print "Version: ", objItem.Version
2019년 8월 20일 화요일
[python] pyqt5 isSignalConnected
특정 시그널에 연결 되어 있는지를 확인
def isSignalConnected(_obj, signal_name):
def isSignalConnected(_obj, signal_name):
metaObj = _obj.metaObject()
for i in range(metaObj.methodCount()):
meta_method = metaObj.method(i)
if meta_method.methodType() == QMetaMethod.Signal:
if meta_method.name().data().decode('utf8') == signal_name:
return True
return False
피드 구독하기:
덧글 (Atom)
docker redmine 설치
docker-composer.yml version: '3.1' services: redmine: image: redmine restart: always container_na...
-
docker-composer.yml version: '3.1' services: redmine: image: redmine restart: always container_na...
-
#!/usr/bin/env python # -*- coding:utf-8 -*- import sys from PyQt5 import uic from PyQt5.QtWidgets import QMainWindow , QApplication , QWid...
-
출처] https://herohjk.com/41 import os from PIL import Image from reportlab.pdfgen.canvas import Canvas from PyPDF2 import PdfReader, PdfWrite...