Radu Mariescu-Istodor | Color and Style - HTML Canvas @Radu | Uploaded 2 years ago | Updated 1 hour ago
We study how to change the thickness of the lines and the color of the lines and of the fills. We learn about different ways to specify colors in code.
Website to play with color codes:
htmlcolorcodes.com/color-picker
⭐ MY CANVAS PROJECTS ⭐
1. Matrix Camera Effect youtu.be/GmB0ge-CuZo
2. Self Driving Car youtu.be/NkI9ia2cLhc
3. Puzzle Cam youtu.be/Z6fQtNpB3hU
4. Many more on my channel [ It's mostly about that :-) ]
We study how to change the thickness of the lines and the color of the lines and of the fills. We learn about different ways to specify colors in code.
Website to play with color codes:
htmlcolorcodes.com/color-picker
⭐ MY CANVAS PROJECTS ⭐
1. Matrix Camera Effect youtu.be/GmB0ge-CuZo
2. Self Driving Car youtu.be/NkI9ia2cLhc
3. Puzzle Cam youtu.be/Z6fQtNpB3hU
4. Many more on my channel [ It's mostly about that :-) ]
![A Virtual World - JavaScript Course: Lesson 10 / 11 [OpenStreetMap Tutorial]](https://i.ytimg.com/vi/IKwkOajkSHs/hqdefault.jpg "A Virtual World - JavaScript Course: Lesson 10 / 11 [OpenStreetMap Tutorial]
Welcome to the course where we build a self-driving car simulation in a virtual world using HTML, CSS and JavaScript. The world editor we built is nice. Feels really fast to use, definitely minimizing the number of clicks. But you know what’s better than a few clicks?
⭐NO CLICKS!⭐
Lets learn about OpenStreetMap: how to query data from it using overpass turbo and how to parse it in our code. You’ll also learn about real-world coordinates, how they work and the geometry of our 3D world. 🌎
Have Fun! :-)
⭐PLAYLIST⭐
https://www.youtube.com/playlist?list=PLB0Tybl0UNfZtY5IQl1aNwcoOPJNtnPEO
⭐FINAL APP⭐
https://radufromfinland.com/projects/virtualworld
💻CODE💻
https://github.com/gniziemazity/virtual-world
9. Integration = follow along
10. OpenStreetMap = code after this lesson
⭐LINKS⭐
https://www.openstreetmap.org
https://overpass-turbo.eu [ Note that overpass has also an API ;-) ]
⭐ALL PREREQUISITES⭐
https://www.youtube.com/playlist?list=PLB0Tybl0UNfZ3nnHVg8SJ4uK3R4QD6R0H
⭐Emoji I used in the video⭐
🗺️✔️❌
☕Buy me a Coffee?☕
https://www.buymeacoffee.com/radum
⚡️Join this Channel⚡️
https://youtube.com/@radu/join
⭐Timestamps⭐
00:00 Introduction
01:01 Preparing to use OSM Data
05:55 OpenStreetMap and Overpass Turbo
12:53 Parsing OSM Data
16:19 Latitude and Longitude
24:29 Understanding Coordinates
25:34 Proper Scaling
34:46 One-way Road Segments
38:14 Optimization
42:50 Saving the World Failed (Partially)")
![Self-driving car - No libraries - JavaScript course [Lecture 2]](https://i.ytimg.com/vi/IxhrXKEVCsc/hqdefault.jpg "Self-driving car - No libraries - JavaScript course [Lecture 2]
⭐️COURSE INTRODUCTION⭐️
Hi and welcome to the self-driving car (no libraries) JavaScript course.
You will learn to make a self-driving car simulation by implementing every component one by one. I will teach you how to implement the car driving mechanics, how to define the environment, how to simulate some sensors, how to detect collisions and how to make the car control itself using a neural network.
I will explain how artificial neural networks work, by comparing them with the real neural networks in our brain. I will teach you how to implement a neural network and how to visualize it so we can see it in action. You will also learn some optimization techniques to make our car smarter.
The entire system is quite complex, however, each component is relatively easy in and of itself. I made this course keeping in mind my high-school days back in Romania. So, the knowledge you get from school could be enough to follow along (depending on the curriculum).
We use JavaScript to implement this system and I will teach modern JavaScript techniques during this course, so, this course is perfect no matter if you want to become a software engineer or a machine learning specialist (like me - I have over 10 years research experience with machine learning).
⭐️LECTURE 2: CREATING THE ROAD⭐️
We learn to make a custom road in JavaScript. The road will be customizable so you can change the number of lanes. We implement this using linear interpolation (lerp). The road can easily be extended to support different things like two-way streets, highways and even turns. I will also teach you how to make is so that the camera follows the car on the road.
⭐️CODE⭐️
Github: https://github.com/gniziemazity/Self-driving-car (2. Road definition)
Use 1. Car driving mechanics if you plan to follow along!
My website: https://radufromfinland.com
⭐️ TABLE OF CONTENT ️⭐️
0:00 Intro
1:07 Creating the road
5:22 Creating the lanes
10:25 Getting lane x-coordinate
13:45 Defining the road borders
17:50 Following the car on the road")
