Automatic Bloodweb Leveler

[8otto]

I am also scaled down to 75% UI

 

https://imgur.com/a/q9dAirO

Did you create resize.txt file with 75 inside?

[draydeg]

This saved my sanity, thank you!

[K3nt]

i'm using your tool every 1.5M thanks you !

[8otto]

This is exactly the reason why I develop this tool hahahahahha, I hate spend points on dbd

[DarkGER95]

Great Tool, leveling manually is just so tedious. Been using it the past few days.

Got 2 little suggestions though if you're still developing this any further.

The bot only analyzes (screenshot) the bloodweb once right?
It seems like it tries every slot once and then restarts the process.
If the processing of the image doesnt take to long having the bot consider entity taken items through more screens would be a great time saver.

No idea about python and the libs used for this, but if the Screenshot could be kept in memory instead of written and read from storage would probably speed things up a bit (also keeps storage healthy, 1-50 is about 150MB in rewrites for me).

[8otto]

Great Tool, leveling manually is just so tedious. Been using it the past few days.

Got 2 little suggestions though if you're still developing this any further.

The bot only analyzes (screenshot) the bloodweb once right?
It seems like it tries every slot once and then restarts the process.
If the processing of the image doesnt take to long having the bot consider entity taken items through more screens would be a great time saver.

No idea about python and the libs used for this, but if the Screenshot could be kept in memory instead of written and read from storage would probably speed things up a bit (also keeps storage healthy, 1-50 is about 150MB in rewrites for me).

The first idea is good but I didn't do that because it doesn't recognize stuff that you bought or not, it only recognize circles and compare it with a list.
I could try it with color recognizing together with circles, but I'm a little busy in these days.
The other idea is not possible with pyautogui and opencv2 I already tried, but I'm not 100% sure, if you know how to do that please send here a code example

Thank you for compliments!

[flenxdzz]

thank you so much man i have account with 100m bloodpoint and is save me so much time :)

[cha0tic_]

Thanks, I'm gonna try this out.

[moonpkt]

The first idea is good but I didn't do that because it doesn't recognize stuff that you bought or not, it only recognize circles and compare it with a list.
I could try it with color recognizing together with circles, but I'm a little busy in these days.
The other idea is not possible with pyautogui and opencv2 I already tried, but I'm not 100% sure, if you know how to do that please send here a code example

Thank you for compliments!

The idea from @DarkGER95 is very good, cuz the tool trying to get the blocked items and perks, it just eats up effeciency and time.
I please you to update the tool, is there maybe a way to donate?
I really appreciate your time creating all of this

[DarkGER95]

The first idea is good but I didn't do that because it doesn't recognize stuff that you bought or not, it only recognize circles and compare it with a list.
I could try it with color recognizing together with circles, but I'm a little busy in these days.
The other idea is not possible with pyautogui and opencv2 I already tried, but I'm not 100% sure, if you know how to do that please send here a code example

Thank you for compliments!

if your programm works with non grey scale images I got the following for you (imread flag parameter != 0):

import cv2
import pyautogui as pgui
import numpy as np

image = pgui.screenshot('screen.png') #Saves a Screeenshot (No Parameter = only returns Image data without file saving)
imageFlipped = np.flip(image, 2) #Flip axis 2 to match cv.imread
imageFlippedArray = np.asarray(imageFlipped) #Convert Image to numpy Array

cvImage = cv2.imread('screen.png') #Read our File Screenshot

print(np.array_equal(cvImage, imageFlippedArray)) #Perform equal check

cv2 uses numpy arrays so you should be able to work with the "imageFlippedArray"

[Its me popcorn]

Guys I really don't know, I think 0 ban chance because it's not in-match macro.
But however I don't assume responsibility for any ban.

I thought anticheat (the infamous EAC) scans the game during the launch and looks for hooked up proccesses while playing? Or is it pure 100% third party program that works in the background and does not interfere with dbd? Because that would change a lot.

[8otto]

if your programm works with non grey scale images I got the following for you (imread flag parameter != 0):

import cv2
import pyautogui as pgui
import numpy as np

image = pgui.screenshot('screen.png') #Saves a Screeenshot (No Parameter = only returns Image data without file saving)
imageFlipped = np.flip(image, 2) #Flip axis 2 to match cv.imread
imageFlippedArray = np.asarray(imageFlipped) #Convert Image to numpy Array

cvImage = cv2.imread('screen.png') #Read our File Screenshot

print(np.array_equal(cvImage, imageFlippedArray)) #Perform equal check

cv2 uses numpy arrays so you should be able to work with the "imageFlippedArray"

Thank you, i have to try when I'm not busy

- - - Updated - - -

I thought anticheat (the infamous EAC) scans the game during the launch and looks for hooked up proccesses while playing? Or is it pure 100% third party program that works in the background and does not interfere with dbd? Because that would change a lot.

Totally external it uses screenshots to work

[Cinnax3]

is this still working in 2023?
I already got a VAC ban :'D

[VaguinerS]

I got banned a few days ago after successfully using this program.

However, I also used and abused lag switch (more than 3 months using lag switch and no ban until then)

Maybe this is a coincidence, but I would like to put it on record.

[8otto]

I got banned a few days ago after successfully using this program.

However, I also used and abused lag switch (more than 3 months using lag switch and no ban until then)

Maybe this is a coincidence, but I would like to put it on record.

I think that your ban was caused by lag switch and report system 😂
This is undetected and not a cheat at all..