Відео

It could be made with just detecting certain colors, so much easier

You should learn machine learning

Now make the ai beat a demon >:)

It's super cool to watch.

Java is bigger that u bro😂

I AM THE STORM THAT IS APPROAAAAAACHIIIIIING

There is a lot of room for improvement. Assuming it could identify fast enough, the most reliable approach could be to use a machine learning algorithm to categorise objects on screen. Then we would want to implement an algorithm to try to score combos And also, implement some delays to make it less jittery and add functionality to avoid trajectories that overlap with a bomb

If this game was made in 2024, I'm sure the company would've called it AI game 🤦‍♂️ Any smart technology makes these days is called AI. To remove pimples from face is called AI object remover in 2024. To copy paste images in mobile phone is now called AI in 2024 🤦‍♂️🤦‍♂️

Did you just created Raiden??

Great job, tried it on my PC! Seems that the algorithm likes you more than me, but impressive nonetheless!

Make it play the tower

Bro I got a brilliant add when you started your sponsored message

How raiden plays fruit ninja:

ChatGPT 4o smiles

How to mod 2d minecraft

when you realize this can generate cp:

Dest nuts

Can you add rubber so you can make rubber block

Add 5 new dimensions

Time to make my own coding language. (Tried to for the 98th time.)

I like how every variable is called noodle

Its not full clone you did not add different behavior to every ghost

Michigun jumpscares for AIs lol XD

How download🤔

Very Great project iI was trying to run it locally by cloning the repo and runnig the program I had downloded fruit ninja on my laptop and when I run the program It goes to fruit but does not slice it I have change properries.json as my game is running in 1920x1080p mode what could be the issue could anyone help me

Next time train a YOLO model on a few hundred labeled images, it's a LOT easier, and will run much faster. Expect 30-120+ frames per second processed, based on your GPU.

Does it even have frames of images?

Why don't you teach us these step by step! I guess people would love to learn these from you. I'm excited already.

isnt this just a file now? if youre using all available, displayable characters, thats just an inefficient encoding.

You should look into classification theory. What you are using is basicly a Euclidean distance cluster classifier.

Python is NOT a good language choice....

This is brilliant thanks for sharing your thought process and code. absolutely loved this

My sister is casually next to me on 180

plsss ur monitor is 1080p and mine is 1600 so part of the screen is not there pls help so pls support all resolutions

Your code would be much more efficient in time and memory if you didn't define lambda functions inside your function bodies If it is a way to not have a big global namespace, or to use global values that you define at runtime (image size, etc.), you can have a class containing your handler where all your functions are methods

“A small delay that has been adddded” too good 😂 4:57

PLEASE I'M BEGGING YOU I NEED TO KNOW WHAT 2:45 MUSIC IS I REMEMBER IT FROM MY CHILDHOOD BUT CAN'T PUT MY FINGER ON IT, THE MUSIC SECTION DOESNT SAY ANYTHING!

🦇mango 🦇

You could have created a program to identify colours other than brown and black hence it could identify a new colour- fruit

nice video

Can you bring a video of how to make an auto clicker for the Bloom game(air drop)

Kirby

bro i like ramen noodles

“Destroy” blud only got a 342 😭😭😭

Try It again with YOLOv8 maybe works better

some level are built wrong (not because there are no coins) but because the level just doesn't match with the actual level (example: the second jump in Dry Out is half-spaced down)

I can't believe you just made a new version of Geometry dash! amazing!

I don't understand what makes this project all that difficult, there isn't anything here you don't learn outside of Programming Languages 1 during jr year of Uni. Couple of things I saw in the code that can be improved: The tokenize function can be optimized by avoiding the use of std::string::erase and std::string::insert as they can be expensive operations. Instead, you can work with indices or iterators. Implement a state machine for your lexer. This can make the code more readable and efficient by clearly defining the transitions between different states of the lexer. Use enum class instead of plain enum for TokenType and Error::Location to provide better type safety and namespace scoping. Reserve space for your tokens vector if you have an estimate of the number of tokens to avoid multiple reallocations. Consider using std::string_view instead of std::string for operations that do not modify the string, to avoid unnecessary copies. Here's a refactored snippet: std::vector<Token> tokenize(const std::string& sourceCode) { std::vector<Token> tokens; // Reserve an estimated size to avoid reallocations tokens.reserve(estimatedSize); // Use string_view for non-modifying operations std::string_view remainingSource(sourceCode); // ... rest of the logic ... // Process tokens without modifying the original string while (!remainingSource.empty()) { auto nextIdentifier = extractNextIdentifier(remainingSource); if (nextIdentifier.empty()) continue; Token nextToken = determineTokenType(nextIdentifier); if (nextToken.type == TokenType::Invalid) { throw LexerError("Invalid identifier found", line, column); } tokens.push_back(nextToken); } // Add EOL and EOF tokens if (!tokens.empty() && tokens.back().type != TokenType::EndOfLine) { tokens.emplace_back(TokenType::EndOfLine, "EOL"); } tokens.emplace_back(TokenType::EndOfFile, "EOF"); return tokens; } This is just a small example of what can be changed to make it more readable and uses better Modern C++ coding standards.

Next time try using yolov8

What algorithm dit you use?