DrEricEbert

// For an explanation of this code visit:
// https://github.com/jacobslusser/ScintillaNET/wiki/Automatic-Syntax-Highlighting

// Configuring the default style with properties
// we have common to every lexer style saves time.
scintilla.StyleResetDefault();
scintilla.Styles[Style.Default].Font = "Consolas";
scintilla.Styles[Style.Default].Size = 10;
scintilla.StyleClearAll();

DrEricEbert

Installation

pip3 install --user pyqt5  
sudo apt-get install python3-pyqt5  
sudo apt-get install pyqt5-dev-tools
sudo apt-get install qttools5-dev-tools

---

Configuring to run from terminal

DrEricEbert

import numpy as np
import random
import math
import cv2
from PIL import Image
import sys

def detect_markers(im):
 markers = []
 # 輪郭線抽出のための二値化

DrEricEbert

#########################################################################
#                                                                       #
#    Script to set or clear read-only flag of an NTFS volume.           #
#                                                                       #
#    Usage: .\set-ntfs-ro.ps1 set   "MY DISK LABEL"                     #
#           .\set-ntfs-ro.ps1 clear "MY DISK LABEL"                     #
#                                                                       #
#    Author: Muhammed Demirbas, mmdemirbas at gmail dot com             #
#    Date  : 2013-03-23                                                 #
#                                                                       #

DrEricEbert

##########################################
# To run: 
# curl -sSL https://gist.githubusercontent.com/sirkkalap/e87cd580a47b180a7d32/raw/d9c9ebae4f5cf64eed4676e8aedac265b5a51bfa/Install-Docker-on-Linux-Mint.sh | bash -x
##########################################

# Check that HTTPS transport is available to APT
if [ ! -e /usr/lib/apt/methods/https ]; then
	sudo apt-get update
	sudo apt-get install -y apt-transport-https
fi

DrEricEbert

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

DrEricEbert

// Reset the styles
scintilla.StyleResetDefault();
scintilla.Styles[Style.Default].Font = "Consolas";
scintilla.Styles[Style.Default].Size = 10;
scintilla.StyleClearAll(); // i.e. Apply to all

// Set the lexer
scintilla.Lexer = Lexer.Python;

// Known lexer properties: