[Apex Legends] Free Nural Network Aimbot + Nvidia Inspector Graphic Tweak

[ironicblaze]

f

[ankush34567]

thanks

[Tr5gz]

I will try

[pelijon626]

Example of aimbot in action (with chams in the video > not included): https://www.youtube....h?v=7oa0XGfWyy4

 

STATUS: DETECTED

Recoomended is at least a Gtx 1060 with 120-140 fps (lower could be slow)

 

No danger for ban at this moment without any bypass needed (working for many other games when you have trainfiles like Rust, R6S, etc). Fully external. Doesn't interact with game or read/write memory.

Credits to ZxCL (aimbot) and dlr5668 (trainfiles for AL)

Sources: https://github.com/T.../FutureNNAimbot

More info (when you want to train it yourself):

AMD not supported at this moment

 

 

1. Download: DETECTED

    Virustotal: https://www.virustot...afb77/detection

    >everything you need is in there (aimbot files + trainfiles)

 

Edit 18.04.19 new trainfiles I trained for 2 days (config goes in main the rest exept the charts go into trainfiles folder under main):DETECTED

Edit 07.05.19: Here are the all my trainfiles which I trained, best is the range from 80000 - 100000 // you have to find the one which works best and fastest for you (the weight file goes in trainfiles folder under main // rename it to r5apex.weights): DETECTED

2. Intsall requirements or it will not work !!!

2. Game settings (borderless!!! resolution has to be you monitor default // Size of text has to be 100% // adaptive resolution fps target: 100 <<< when you have under 100 fps ingame): https://imgur.com/a/MYNtYGz

3. Nvidia Inspector tweak: No Grass/No Terrain Texture/Semi-Chams (below)

4. Aimbot Settings: in the config.json file, you can change the range resolution for object recognition (SizeX/Y from 100-320 / lower =faster detection) / enable or disable SimpleRCS,Autoshoot, Head or Body / specify which game we will use and specify the buttons with KeyCodesList.txt / smooth aim 0.1-1.0 (first try 0.2-0.4)

5. Start game first and FNNA aimbot.exe

6. Test it ingame because in training bloodhound will not be detected well because he looks like a friendly (white frame around him)

7. Any questions, quote me and ask them here (please no pm)

 

Requirements:
1. Install the latest Nvidia driver for your graphic device
2. Install Nvidia CUDA Toolkit 10.0 (must be installed add a hardware driver for cuda support) https://developer.nv...toolkit-archive // other version than 10.0 will cause an error (Unable to load DLL 'x64\yolo_cpp_dll_gpu.dll')

 

Hotkeys:

Num 0                  - Cursor to center on/off

Pos1 or Home      - Simple rcs on/off

Delete                  - Head on/off

End                      - Autoshoot on/off

Arrow up              - increse smooth aim by 0.05

Arrow down          - decrease smooth aim by 0.05

 

Nvidia Inspector tweak (No Grass/No Terrain Texture/Semi-Chams)  >>> looks like this, you can spot enemies very easily:

 

[Update 07.05.19]  I added all my weights and you have to try a bit which of them works best for you

 

My current settings with 2560x1440 resolution and normal in game mouse sense:

[{"AimKey":6,
"AutoShoot":false,
"CursorToCenter":false,
"DrawAreaRectangle":true,
"DrawText":true,
"Game":"r5apex",
"Head":true,
"Information":true,
"ScreenshotKey":76,
"ScreenshotModeKey":105,
"SimpleRCS":false,
"SizeX":340,
"SizeY":340,
"SmoothAim":0.58,
"TrainModeKey":45,
"Transparency":50}]

And the trainfile I use is the r5apex_83000.weights from the edit of the 07.05.19 // dont forget to rename it to r5apex.weights and place it in the trainfiles folder

[villehuusk]

thank u for this, i gotta go rekt some kiddos

[villehuusk]

Thanks, ill give it a try. Hope it works, and ill leave an upvote here if it does.

[plvt2392]

hi

[fnitythepro]

good man

[AndrewV]

I would like to know if this work on Crossfire?

[nulled9user10]

thank you!