If you're into Pokemon games whether it's a spinoff or mainline title, catching a Shiny Pokemon can be extremely tiring. Unlike the regular method of catching the monsters, it takes a lot of patience and time before you encounter these elusive species.
Of course, it's not a walk in the park since this requires heavy grinding of the game, but with Raspberry Pi modified by a developer, you can do shiny hunting all day and night even when you're sleeping.
Raspberry Uses AI to Identify Shiny Pokemon
Have you remembered your first Shiny hunting experience in the Lake of Rage? If you have played Pokemon Crystal before, you might remember facing the Red Gyarados which looks more intimidating than its blue version, which is the standard.
Some Pokemon's Shiny versions can be easily identified such as the Shiny forms of Dragonite (green), Charizard (black), and Lechonk (pink). However, some Pokemon can be hard to detect in their Shiny states including Garchomp, Gengar, Zapdos, Gholdengo, and Regice. They barely change their colors and it's quite unrewarding to see their disappointing looks.
With Dinones' Raspberry Pi, you will say yes to catching Shiny species daily. According to Tom's Hardware, he automates this method through his Nintendo Switch which he keeps awake while he sleeps.
Dinones incorporates artificial intelligence (AI) into the mini-computer to help him detect the Shiny Pokemon from their non-Shiny counterparts.
Once the Raspberry Pi identifies a Pokemon shiny, it will automatically throw a Master Ball to catch it. This type of Pokeball is the most supreme in existence since it can catch all Pokemon without fail.
Dinones adds that if you're not using Master Ball, it won't guarantee you catch a wild Pokemon.
Dinones Utilizes Python-Based App to Send Input to Switch
Setting up an auto-Shiny catcher requires knowledge of Python. Dinones, for instance, has used NXBT, an application based on this programming language. This app communicates with his Nintendo Switch via Bluetooth and serves as a proxy controller for sending input to the console.
Regardless if the Pokemon is shiny or not, Dinones says that it's possible to program any response you wish to see on the screen.
Another important item you need to have if you wish to run this method on Raspberry Pi is the capture card. This stuff focuses more on the decision-making process.
For image processing, Dinones shares that he's using OpenCV. If you want to know more about his project, you can check the source code on this GitHub link.
For a more in-depth explainer on how to use Raspberry Pi in shiny-hunting Pokemon in the game, make sure to watch his video on YouTube as posted below.
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