py7dtd 1.0.0a0

Creator: railscoderz

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Description:

py7dtd 1.0.0a0

py7dtd - A 7 Days to Die tools collection

https://7daystodie.com/
In this repository are collected tools and scripts for the game 7 Days to Die:

Tools for the detection of objects/entities
Scripts for the automatization of actions (mining, crafting, etc.)
Aim bots
Passcode cracking
Block detection

Installation (Windows)
Clone the module, create a virtual environment and install it:
git clone git@github.com:tassoneroberto/py7dtd.git
cd py7dtd
py -3.7 -m venv venv
.\venv\Scripts\Activate.ps1
py -m pip install .[ai]

Note: if you are not interested in "entities detection" or "aimbot" then you can omit [ai] from the above command:
py -m pip install .

Dev mode
To install the package in edit mode (for developers) specify -e:
py -m pip install -e .[ai]

Dependencies for entities detection
Disclaimer: an NVIDIA® GPU card with CUDA® architectures 3.5, 3.7, 5.2, 6.0, 6.1, 7.0 or higher is required. See the list of CUDA®-enabled GPU cards (https://developer.nvidia.com/cuda-gpus).
Install the following dependencies:

C++ redistributable (https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads)
NVIDIA® GPU drivers —CUDA® 11.2.1 (https://www.nvidia.com/drivers)
CUDA® Toolkit 11.1 (https://developer.nvidia.com/cuda-toolkit-archive)
cuDNN SDK 7.6 (https://developer.nvidia.com/cudnn)

(More info here: https://www.tensorflow.org/install/gpu)
In order to use the module you need a x64 version of Python 3.7.x.
You can download it at this page: https://www.python.org/downloads/windows/
Download link: https://www.python.org/ftp/python/3.7.9/python-3.7.9-amd64.exe
You also need to download the trained model (https://github.com/tassoneroberto/py7dtd/releases/download/v0.2/model.h5) for the entities detection and move it to src/ai/models/v2/.
Optional
To be able to train a model you need to download the ImageAI's pre-trained model (https://github.com/OlafenwaMoses/ImageAI/releases/download/essential-v4/pretrained-yolov3.h5) and move it to ./src/ai/.
Entities detection
❗ Under development ❗
Simple entities detector using AI (Computer Vision).
The objects detection (trees, zombies, etc.) is done using ImageAI: https://github.com/OlafenwaMoses/ImageAI/
The annotation of the images has been done using the tool labelImg: https://github.com/tzutalin/labelImg
Proof of concept

Aim bot
❗ Under development ❗
Simple aim bot capable of:

Detect zombies/players
Move the mouse to the target
Shoot

Usage
py7dtd_auto_shooting --delay 200

Note: Press ESC to interrupt the bot.
Command line arguments
The following table is listing all the arguments that can be specified:



arg
description
default




help
Arguments description
N/A


delay
Time in ms between each screenshot
500


output
Output folder
./auto_shooting




Passcode cracking
❗ Under development ❗
Bruteforce/dictionary attack on chests/doors passcode.
Usage
It is recommended to set the game in window mode with a resolution of 640x480.
Example of a bruteforce attack testing passcodes of 2-10 characters length composed of digits and lowercase characters, with a delay of 20ms between each try, a limit of 100 tries and a timeout of 60 seconds.
Note: Press ESC to interrupt the bot.
py7dtd_crack_passcode --brute --digits --lower --min 2 --max 10 --delay 20 --limit 100 --timeout 60

Get the arguments list with the help function:
py7dtd_crack_passcode --help


Example of a dictionary attack with a delay of 30ms between each try and no limit in tries.
py7dtd_crack_passcode --dict --dictpath ./dictionaries/top1000.txt --delay 30

Note: dictionaries can be found at https://github.com/danielmiessler/SecLists/tree/master/Passwords.

Command line arguments
The available methods are bruteforce attack (--brute) and dictionary attack (--dict).
The following table is listing all the arguments to use for each method:



arg
description
default
type




help
Arguments description
N/A
N/A


min
Minimum length
1
brute


max
Maximum length
20
brute


digits
Include digits
False**
brute


lower
Include lowercase characters
False**
brute


upper
Include uppercase characters
False**
brute


special
Include special characters
False**
brute


dictpath
Dictionary file path
./dictionaries/top1000.txt
dict*


limit
Maximum number of tries

brute, dict


timeout
Maximum time in seconds allowed

brute, dict


delay
Delay in ms between each action
20
brute, dict



*This attribute is required if dict is selected
**At least one of these is required
Blocks detection
❗ Under development ❗
Detection of block, like topsoil and destroyed stone blocks, by taking screenshots of the map.
Usage
It is recommended to set the game in window mode with the highest resolution possible.
Specify the blocks to be identified by passing them as arguments (e.g. --topsoil). Specify an output folder (or keep the default one ./blocks_detection). Run the script and open the game map by pressing M. Press P to take a screenshot of the map and automatically mark in red the specified blocks. The screenshots, with the block marked, will be saved in the output folder.
Note: Press ESC to interrupt the script.
py7dtd_blocks_detection --topsoil --destroyed

Get the arguments list with the help function:
py7dtd_blocks_detection --help

Example of detection of topsoil blocks in the desert biome:


Command line arguments
The following table is listing all the arguments:



arg
description
default




help
Arguments description
N/A


topsoil
Topsoil blocks
False*


destroyed
Destroyed stone blocks
False*


output
Output folder
./blocks_detection



*At least one of these is required

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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