Metadata-Version: 2.1
Name: d2vs
Version: 0.0.3
Summary: Save contacts from your terminal
Home-page: https://github.com/wangonya/contacts-cli
Author: Eric Carmichael
Author-email: eric@ckcollab.com
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt

<div align="center">

![d2vs](docs/d2vs.png)

</div>


# what is this

diablo 2 vision system is a library to assist with the automation of d2, using only pixels, keyboard and mouse


# installation

```bash
$ pip install d2vs
```

_NOTE: this can run via CPU, but via GPU is far superior. You must install CUDA and the appropriate python jazz
to get that working, for me with CUDA10.1:_

```bash
$ conda install torch torchvision cudatoolkit=10.1 -c pytorch
```

# usage

<div align="center">

  ![image](https://user-images.githubusercontent.com/2185159/142674287-37311056-5483-4956-b786-b5ffc17bfc69.png)

  _(586_gold.png)_
</div>


```py
import numpy as np
from d2vs.ocr import OCR
from PIL import Image

# Initiate OCR
ocr = OCR()

# Load an Image
img = Image.open("586_gold.png")

# Scan the image
bounds, text, item_type = ocr.read(img)

# Print out the data for demo purposes
top_left, top_right, bottom_right, bottom_left = bounds
print(top_left, top_right, bottom_right, bottom_left)
# ([2, 2], [158, 2], [158, 32], [2, 32])

print(text)
# '586 Gold'

print(item_type)
# 'Normal'
```

# project goals

 - Have fun automating single player! Not for profit
 - OCR with near 100% accuracy
 - Visually determine where you are in game, area level and world coordinate system
 - Click from world coords to screen coords
 - Path through unexplored areas to a goal
 - Facilitate complete d2 bot from lvl 1 to 99
 - Pick it

<div align="center">
  
![image](https://user-images.githubusercontent.com/2185159/142713867-b60e6dd6-08d9-4e55-862e-dba55cffff67.png)


  _an example map reading from d2vs of black marsh_
  
![image](https://user-images.githubusercontent.com/2185159/144722467-5fdc4eb4-8a1a-4c96-b280-b818a6c24d27.png)


  _nodes for the static map Harrogath_
  
</div>

# development

## setup

```bash
$ git clone ...
$ pip install -r requirements.dev.txt
```

## running tests

```bash
$ pytest
```

## distributing

```bash
$ python setup.py sdist bdist_wheel
$ twine upload dist/*
```


