Ken tklee1975

## simpleImageClassifier
imagePath = "test.jpg"

# Replace this with the path to your image
image = Image.open(imagePath).convert("RGB")

# resizing the image to be at least 224x224 and then cropping from the center
size = (224, 224)
# image = ImageOps.fit(image, size, resample=Image.BICUBIC)
image = image.resize(size, resample=Image.BICUBIC)

## photo_classifier.py
from keras.models import load_model  # TensorFlow is required for Keras to work
from PIL import Image, ImageOps  # Install pillow instead of PIL
import numpy as np
import os
import shutil

# ----------------------------
# Setup Model
# ----------------------------
# Disable scientific notation for clarity

## custom.ini
file_uploads = On
memory_limit = 256M
upload_max_filesize = 1024M
post_max_size = 1024M
max_execution_time = 300
max_input_time = 1000

## App.js
// Install Jimp
//   npm install jimp --save
// Offical site
//  https://www.npmjs.com/package/jimp
// Sample Reference
//  https://img.ly/blog/how-to-manipulate-an-image-with-jimp-in-react/

import './App.css';
import Jimp from "jimp";
import { useEffect, useState } from "react";

## Dockerfile-v1
# version 1
# Base on alpine OS
FROM alpine:latest

#
WORKDIR /user/local/bin

# Make simple hello script
RUN echo "echo \"Hello Alpine\"" > ./hello.sh
RUN chmod u+x *.sh

## simple-tailwind-demo.html
<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Tailwind Demo</title>
    <link href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css" rel="stylesheet">
</head>

## no-this.js
 function foo() {
     var a = 2;
     function bar() {
         console.log(a);
     }

     bar();
 }
 foo()

## cppObjectLife.cpp
#include <stdio.h>
#include <iostream>
#include <memory>
#include <vector>

struct Tracer {     // ken: from book 'C++ Crash course' Page 97
private:
    const char* const _name;     // const xxx const mean cannot alter both address and content
public:
    Tracer(const char *name)

## responsive_badge.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Responsive Badge</title>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@4.5.3/dist/css/bootstrap.min.css" integrity="sha384-TX8t27EcRE3e/ihU7zmQxVncDAy5uIKz4rEkgIXeMed4M0jlfIDPvg6uqKI2xXr2" crossorigin="anonymous">
    <script src="https://code.jquery.com/jquery-3.5.1.slim.min.js" integrity="sha384-DfXdz2htPH0lsSSs5nCTpuj/zy4C+OGpamoFVy38MVBnE+IbbVYUew+OrCXaRkfj" crossorigin="anonymous"></script>
    <script src="https://cdn.jsdelivr.net/npm/bootstrap@4.5.3/dist/js/bootstrap.bundle.min.js" integrity="sha384-ho+j7jyWK8fNQe+A12Hb8AhRq26LrZ/JpcUGGOn+Y7RsweNrtN/tE3MoK7ZeZDyx" crossorigin="anonymous"></script>

## main.dart
import 'package:flutter/cupertino.dart';
import 'package:flutter/material.dart';

void main() {
  runApp(MyApp());
}

class MyApp extends StatelessWidget {
  // This widget is the root of your application.
  @override
	imagePath = "test.jpg"

	# Replace this with the path to your image
	image = Image.open(imagePath).convert("RGB")

	# resizing the image to be at least 224x224 and then cropping from the center
	size = (224, 224)
	# image = ImageOps.fit(image, size, resample=Image.BICUBIC)
	image = image.resize(size, resample=Image.BICUBIC)
	from keras.models import load_model # TensorFlow is required for Keras to work
	from PIL import Image, ImageOps # Install pillow instead of PIL
	import numpy as np
	import os
	import shutil

	# ----------------------------
	# Setup Model
	# ----------------------------
	# Disable scientific notation for clarity
	file_uploads = On
	memory_limit = 256M
	upload_max_filesize = 1024M
	post_max_size = 1024M
	max_execution_time = 300
	max_input_time = 1000
	// Install Jimp
	// npm install jimp --save
	// Offical site
	// https://www.npmjs.com/package/jimp
	// Sample Reference
	// https://img.ly/blog/how-to-manipulate-an-image-with-jimp-in-react/

	import './App.css';
	import Jimp from "jimp";
	import { useEffect, useState } from "react";
	# version 1
	# Base on alpine OS
	FROM alpine:latest

	#
	WORKDIR /user/local/bin

	# Make simple hello script
	RUN echo "echo \"Hello Alpine\"" > ./hello.sh
	RUN chmod u+x *.sh
	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Tailwind Demo</title>
	<link href="https://unpkg.com/tailwindcss@^2/dist/tailwind.min.css" rel="stylesheet">
	</head>
	function foo() {
	var a = 2;
	function bar() {
	console.log(a);
	}

	bar();
	}
	foo()
	#include <stdio.h>
	#include <iostream>
	#include <memory>
	#include <vector>

	struct Tracer { // ken: from book 'C++ Crash course' Page 97
	private:
	const char* const _name; // const xxx const mean cannot alter both address and content
	public:
	Tracer(const char *name)
	import 'package:flutter/cupertino.dart';
	import 'package:flutter/material.dart';

	void main() {
	runApp(MyApp());
	}

	class MyApp extends StatelessWidget {
	// This widget is the root of your application.
	@override