LearnCocos2D

For background and further references see: Entity Component Systems on Wikipedia

ECS by Scott Bilas (GDC 2002)

Entity->Components->Update

• entity = class: no logic + no data OR at most small set of frequently used data (ie position)
• component = class: logic + data

foreach entity in allEntities do
    foreach component in entity.components do

t0chas

using UnityEngine;
using UnityEditor;
using UnityEditorInternal;
using System.Collections.Generic;
using UnityEditor.AnimatedValues;

[CustomEditor(typeof(UnityEngine.Object), true, isFallback = true)]
[CanEditMultipleObjects]
public class CustomEditorBase : Editor
{

fchollet

'''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

erica

import Cocoa
import CoreBluetooth
import PlaygroundSupport

public class BTHelper: NSObject, CBCentralManagerDelegate, CBPeripheralDelegate {
    
    // BLE Access
    var centralManager: CBCentralManager
    override init() {
        self.centralManager = CBCentralManager(delegate: nil, queue: nil)

j-j-m

////////////////////////////////////////////////
// CommonProfile Shader v2

#import <metal_stdlib>

using namespace metal;

#ifndef __SCNMetalDefines__
#define __SCNMetalDefines__

kharrison

import Foundation

extension DateFormatter {
    static let iso8601Full: DateFormatter = {
        let formatter = DateFormatter()
        formatter.dateFormat = "yyyy-MM-dd'T'HH:mm:ss.SSSZZZZZ"
        formatter.calendar = Calendar(identifier: .iso8601)
        formatter.timeZone = TimeZone(secondsFromGMT: 0)
        formatter.locale = Locale(identifier: "en_US_POSIX")
        return formatter

datlife

"""An example of how to use tf.Dataset in Keras Model"""
import tensorflow as tf   # only work from tensorflow==1.9.0-rc1 and after
 
_EPOCHS      = 5
_NUM_CLASSES = 10
_BATCH_SIZE  = 128

def training_pipeline():
  # #############
  # Load Dataset

radiatoryang

using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.Video;

public class SmoothVideoPlaylist : MonoBehaviour {
  	// to smoothly cut between two videos, we need two VideoPlayers
  	// make sure you create two VideoPlayers and assign them in the Inspector
	public VideoPlayer activeCam, otherCam;
  

jonjack

Using an Access Token for the first time

Follow the instructions on Github to Create an Access Token in Github

Configure Git to use the osxkeychain

By default, git credentials are not cached so you need to tell Git if you want to avoid having to provide them each time Github requires you to authenticate. On Mac, Git comes with an “osxkeychain” mode, which caches credentials in the secure keychain that’s attached to your system account.

You can tell Git you want to store credentials in the osxkeychain by running the following:-

sgnm

'''
# How to use

run below command at the parent directory of svg files!
`blender -b -P svg2fbx.py`

if blender exec path is not defined, please run below one. (tested only on MacOS)
`/Applications/Blender/blender.app/Contents/MacOS/blender -b -P svg2fbx.py`
'''