It would be interesting if reinforcement learning is used
@cheatgaming89784 күн бұрын
Speed 0.75 Best 👍👍
@solodemon84655 күн бұрын
8:00 Mangoes have as much vitamin C as oranges
@redhood-n2v5 күн бұрын
Man I am so dumb I thought the normal version was the run where he reached 488
@leek56826 күн бұрын
As a kid I actually managed to get over 1000 one time. I think I retired from fruit ninja at that point
@MPAzezal6 күн бұрын
Curious, couldn't you have trained the AI on just bombs and have it slice anything that moves except for the bombs?
@zefanyagabriellechristiane32696 күн бұрын
this kind a scary
@steff31357 күн бұрын
What about Teachable Machine? because u could learn it with the 3d model right?
@aleksanderwalenciej7 күн бұрын
You could’ve tried first idea of image recognition but with checking only for range of colors. And the fruits would have a specific range of it. When you would make it small for each fruit it could’ve worked
@Kanikks7 күн бұрын
5:46 This Is How AI Will Kill Humans 😈
@KrishuKumar-i3w7 күн бұрын
Do it for Dr Driving🥺🙏😭
@KrishuKumar-i3w7 күн бұрын
Can you make an AI for Dr Driving?? Pleaseeeee 🙏🥺
@BadApple-um7vb8 күн бұрын
Can you make video how to train model
@R2Bl3nd8 күн бұрын
You could've scaled down the screenshots to a much smaller size before feeding that to the AI.
@drowning_waves8 күн бұрын
I saw same project 10 years ago
@sunofabeach94248 күн бұрын
python is simple to created an image recognition AI with, but it is so slow that by the time it has finished processing the image the results are already outdated. this pretty much sums up this whole situation where the most performance dependent tasks are solved with one of the slowest languages out there
@ahdog82 сағат бұрын
Generally, doing image recognition in Python involves making calls to some library that is actually written in C (or a similar, actually fast language). As a result, relatively little time is spent in Python-land which mitigates the slowness of the language. I don't know what the code used in the video looks like. There could be a bunch of complicated Python code that slows it down. Or maybe it's not Python's fault at all.
@sunofabeach9424Минут бұрын
@@ahdog8 I know that Python libraries utilize C, however, the overhead that Python introduces is still too much even for complied C code
@server6428 күн бұрын
Trajectory prediction would be wicked to see! Especially in the case of avoiding a slice if a bomb will intercept. And couple that with what I’ve seen others say: getting combos by slicing multiple fruit in one motion. If it can predict the best time to get combos based on the trajectories, I’d love to see how high a score it can really get 😈
@YamiNoDaisuke8 күн бұрын
I womder if you've already done jetpack joyride
@HSonyoutube8 күн бұрын
Here's another challenge for you. Try hitting combos. Basically you've got to track the motion of all fruits by taking continuous screenshots. By that you can make predictions on when a bunch on fruits might be closest to one another. And make a hit. And hit individual fruits only when those are at the end of downward motion
@cooljammer008 күн бұрын
Why did it stop at 671 though? Isn't the game endless?
@gslive61979 күн бұрын
Please sir make auto play free fire game bot for level up in android
@gslive61979 күн бұрын
Please sir make auto play free fire game bot for level up in android
@lurelleru9 күн бұрын
🎉🎉🎉🎉🎉🎉
@badmosss_jaaat10 күн бұрын
we canb also code it to smash everything exept the bomb , thats more easy ✅
@pawansapkota397012 күн бұрын
Yes using the predicitons from the previous models and reannotating is the best option for the faster finetunning of the model.
@Gammakiri12 күн бұрын
Fruit ninja Pros watching this:😢
@unclesamsonite-y3k13 күн бұрын
bros ai: if its green or blue or yellow then its a fruit but if its BLACK THEN ITS A BOMB
@akio.699 сағат бұрын
Me with yellow and green bomb.😈
@Drew-my5sd14 күн бұрын
Or what If you just exported the games assets lol of the fruits and items