moi-nune / plum

lol

Pokéfier

The best autocatching program on Pokétwo to have been created till date. Why? Because it is free, automatically solves CAPTCHAs and doesn't log your token.

Setup

• Download Python version 3.10.8 if you haven't already. Click here to do this.
• Run the Python installer and make sure you add python to PATH. Click on 'Install Now' and wait for the installation to finish.
• Download this repository or git clone it.
• Double click or cd into pokefier/autocatcher then open a terminal. Input the command pip install -r requirements.txt and wait till it's complete.
• Download ffmpeg from here and unzip the folder inside to a location.
• Add the location of the folder to PATH. Refer to this video and follow the steps to achieve this.
• After completion of the steps above, open the main.py file using a text editor (e.g notepad) and put the values of WHITELISTED_SERVERS and TOKEN as instructed inside.
• Finally, open a terminal and run py main.py. The program will automatically catch a pokemon once it spawns in any of the WHITELISTED_SERVERS.

Background

I was looking for a Pokétwo autocatcher on Github for quite a while and the ones I could find were either paid or extremely sketchy. There were some free ones which used the infamous "hint exploit" but that was just very unprofessional to me. Paying to exploit a Discord bot or running obfuscated code that can do god-knows-what was just not acceptable. So, if you are like me and can relate, Pokéfier is made just for you.

Pokéfier and Machine Learning

Pokéfier uses machine learning to identify pokemon images, given a url or an image object. The program and the model is completely free. However, you would need to join our Discord server to avail the labels which contain the pokemon names.

The creation of this project was just like any other Machine Learning project. To recreate it, you would have to:

1. Collect data
2. Prepare the dataset (referred to as data cleaning)
3. Create a model
4. Train the model
5. Make predictions using the model

You can do this using a programming language of your choice. In all of this, collecting the data will be the toughest part. I have made a program to collect Pokémon images and label them accordingly, which I plan to open-source if this repository gets 500 stars.

Plans for the future

This project is still a WIP and I will update it frequently when I get time. Others are encouraged to collaborate and find ways to improve the program. Contact me at iambmo#1442 on Discord.