1598645460
I have recently been carrying my Raspberry Pi back and forth between my home and my local hack space - BuildBrighton.
Both places have WiFi and with a Raspberry Pi A+ missing an ethernet port, you need to ensure you can access the Pio to do any sort of development (and I can’t always guarantee a HDMI compatible display will be available).
It’s fairly easy and isn’t restricted to just two - you can add as many WiFi networks as you wish. All you need to know is the SSID and password.
With access to the Pi, edit the following file with sudo access:
$ sudo nano /etc/network/interfaces
It should look something like this:
auto lo
iface lo inet loopback
auto eth0
allow-hotplug eth0
iface eth0 inet dhcp
auto wlan0
allow-hotplug wlan0
iface wlan0 inet manual
wpa-roam /etc/wpa_supplicant/wpa_supplicant.conf
iface location1 inet dhcp
iface location2 inet dhcp
If your internet is working, there is no need to tweak too much. The most important lines are the last few
wpa-roam /etc/wpa_supplicant/wpa_supplicant.conf
iface location1 inet dhcp
iface location2 inet dhcp
#neural networks
1623737882
I have not created the Object Detection model, I have just merely cloned Google’s Tensor Flow Lite model and followed their Raspberry Pi Tutorial which they talked about in the Readme! You don’t need to use this article if you understand everything from the Readme. I merely talk about what I did!
I have used a Raspberry Pi 3 Model B and PI Camera Board (3D printed a case for camera board). **I had this connected before starting and did not include this in the 90 minutes **(plenty of YouTube videos showing how to do this depending on what Pi model you have. I used a video like this a while ago!)
I have used my Apple Macbook which is Linux at heart and so is the Raspberry Pi. By using Apple you don’t need to install any applications to interact with the Raspberry Pi, but on Windows you do (I will explain where to go in the article if you use windows)
#raspberry-pi #object-detection #raspberry-pi-camera #tensorflow-lite #tensorflow #tensorflow lite object detection using raspberry pi and pi camera
1595856120
Tools and Images to Build a Raspberry Pi n8n server
The purpose of this project is to create a Raspberry Pi image preconfigured with n8n so that it runs out of the box.
n8n is a no-code/low code environment used to connect and automate different systems and services. It is programmed using a series of connected nodes that receive, transform, and then transmit date from and to other nodes. Each node represents a service or system allowing these different entities to interact. All of this is done using a WebUI.
Whevever a new technology is released, two common barriers often prevent potential users from trying out the technology:
The n8n-pi project eliminates these two roadblocks by preconfiguring a working system that runs on easily available, low cost hardware. For as little as $40 and a few minutes, they can have a full n8n system up and running.
This project would not be possible if it was not for the help of the following:
All documentation for this project can be found at http://n8n-pi.tephlon.xyz.
Author: TephlonDude
GitHub: https://github.com/TephlonDude/n8n-pi
#pi #raspberry pi #raspberry #raspberry-pi
1595201363
First thing, we will need a table and i am creating products table for this example. So run the following query to create table.
CREATE TABLE `products` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`description` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci
Next, we will need to insert some dummy records in this table that will be deleted.
INSERT INTO `products` (`name`, `description`) VALUES
('Test product 1', 'Product description example1'),
('Test product 2', 'Product description example2'),
('Test product 3', 'Product description example3'),
('Test product 4', 'Product description example4'),
('Test product 5', 'Product description example5');
Now we are redy to create a model corresponding to this products table. Here we will create Product model. So let’s create a model file Product.php file under app directory and put the code below.
<?php
namespace App;
use Illuminate\Database\Eloquent\Model;
class Product extends Model
{
protected $fillable = [
'name','description'
];
}
Now, in this second step we will create some routes to handle the request for this example. So opeen routes/web.php file and copy the routes as given below.
routes/web.php
Route::get('product', 'ProductController@index');
Route::delete('product/{id}', ['as'=>'product.destroy','uses'=>'ProductController@destroy']);
Route::delete('delete-multiple-product', ['as'=>'product.multiple-delete','uses'=>'ProductController@deleteMultiple']);
#laravel #delete multiple rows in laravel using ajax #laravel ajax delete #laravel ajax multiple checkbox delete #laravel delete multiple rows #laravel delete records using ajax #laravel multiple checkbox delete rows #laravel multiple delete
1605082320
The Raspberry Pi 400 has arrived in the studio, and in this video I’ll give it a review. I’ll show an unboxing of the Personal Computer Kit from Canakit, which is a great way to get started on the Pi 400. Then I’ll show off the hardware, as well as the out-of-box experience.
#raspberry pi #pi #raspberry-pi
1624715609
In this video I will discuss the latest updates from Pi Network. They just reached 10 Million users which is amazing. The network is growing fast however they did make a controversial decision which will piss many members off. They also talk about the future mainnet launch and they’re vision where they see the project in the future. Hope you enjoy the video.
📺 The video in this post was made by Crypto expat
The origin of the article: https://www.youtube.com/watch?v=mD99Sc5BtdA
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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#bitcoin #blockchain #pi network #pi token #mining #pi network december update 2020 | 10million users | mining rewards halved | pi token