This example illustrates how to intercept log records and visualise them using Python and QML with QAbstractListModel, QSortFilterProxyModel and a custom logging handler.
Run filtering_log.py; it will load filtering_log.qml which will need to be located in the same directory.
| Rundll32.exe | |
| Regsvr32.exe | |
| Mshta.exe | |
| Msbuild.exe | |
| Cbd.exe | |
| Csc.exe | |
| Tracker.exe | |
| Ntsd.exe | |
| Bginfo.exe | |
| Kd.exe |
| ''' | |
| Project: curinga | |
| Time: 2020/03/07 01:37 | |
| ''' | |
| import win32api | |
| import win32print | |
| import traceback | |
| from tkinter.filedialog import askopenfilename | |
| from tkinter import * |
| #!/bin/bash | |
| # https://gist.github.com/robwierzbowski/5430952/ | |
| # Create and push to a new github repo from the command line. | |
| # Grabs sensible defaults from the containing folder and `.gitconfig`. | |
| # Refinements welcome. | |
| # Gather constant vars | |
| CURRENTDIR=${PWD##*/} | |
| GITHUBUSER=$(git config github.user) |
| #include <iostream> | |
| #include <windows.h> | |
| #include <gdiplus.h> | |
| #include <memory> | |
| using namespace Gdiplus; | |
| using namespace std; | |
| int GetEncoderClsid(const WCHAR* format, CLSID* pClsid) | |
| { |
| :: | |
| ::####################################################################### | |
| :: | |
| :: Change file associations to protect against common ransomware attacks | |
| :: Note that if you legitimately use these extensions, like .bat, you will now need to execute them manually from cmd or powershell | |
| :: Alternatively, you can right-click on them and hit 'Run as Administrator' but ensure it's a script you want to run :) | |
| :: --------------------- | |
| ftype htafile="%SystemRoot%\system32\NOTEPAD.EXE" "%1" | |
| ftype WSHFile="%SystemRoot%\system32\NOTEPAD.EXE" "%1" | |
| ftype batfile="%SystemRoot%\system32\NOTEPAD.EXE" "%1" |
All rules and guidelines in this document apply to HTML files.
The keywords "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119.
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| // Demo a simple embedded python interpreter | |
| // See this post for context: http://codito.in/notes-on-vim-python-interop | |
| // | |
| // Compile with: gcc $(python-config --cflags --ldflags) pyembed.c -o pyembed | |
| // Tested on python 3.6 in arch linux | |
| // | |
| // See https://docs.python.org/3/c-api/init.html for details of APIs. | |
| // | |
| #include <Python.h> |
| // Package main is a sample macOS-app-bundling program to demonstrate how to | |
| // automate the process described in this tutorial: | |
| // | |
| // https://medium.com/@mattholt/packaging-a-go-application-for-macos-f7084b00f6b5 | |
| // | |
| // Bundling the .app is the first thing it does, and creating the DMG is the | |
| // second. Making the DMG is optional, and is only done if you provide | |
| // the template DMG file, which you have to create beforehand. | |
| // | |
| // Example use: |
The code for this tutorial is here
Opencv provides are useful, but limited, method of building a GUI. A much more complete system could be acheived using pyqt.
The question is, how do we display images. There are quite a few possible routes but perhaps the easiest is to use QLabel since it has a setPixmap function. Below is some code that creates two labels. It then creates a grey pixmap and displays it one of the labels. code: staticLabel1.py
from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QVBoxLayout
from PyQt5.QtGui import QPixmap, QColor
import sys