| Name | htamd JSON |
| Version |
0.2
JSON |
| download |
| home_page | |
| Summary | A Hand tracking module |
| upload_time | 2023-01-02 11:40:31 |
| maintainer | |
| docs_url | None |
| author | Advaith S |
| requires_python | |
| license | |
| keywords |
python
hand tracking
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<h1 align="center">
<br>
<img src="https://github.com/advaith-22/assets/blob/main/image-removebg-preview.png?raw=true" alt="Markdownify" width="200"></a>
<br>
HT (AMD Intel System)
<br>
</h1>
<h4 align="center">A package that allows to track the x, y, z locations of specific points from 0-20 in your hands. (AMD Intel System)</h4>
<hr>
<p align="center">
<a href="#key-features">Key Features</a> •
<a href="#how-to-use">How To Use</a> •
<a href="#Install">Install</a> •
</p>
## Key Features
* Tracks your hand
* The hand connections or lines can be show or hidden
* Works for almost all computers
* Quick and not much lag
* Simple code that is easy to understand and customize if needed
## How To Use
The following code gets the x, y locations of the index finger tip and moves the mouse accordingly
```python
import htamd
import cv2
cap = cv2.VideoCapture(0)
handt = htamd.ht()
while 1:
success, img = cap.read()
img = handt.findhand(img, show_lines=False)
lml = handt.findpos()
if len(lml) != 0:
print(lml[8])
cv2.imshow("Box", img)
cv2.waitKey(1)
```
## Install
Install with pip
```bash
$ pip install htamd
```
## License
MIT
---
> [http://advaith.athenaserv.com](http://advaith.athenaserv.com) ·
> GitHub [@advaith-22](https://github.com/advaith-22) ·
> Twitter [@_Advaith_S](https://twitter.com/_Advaith_S)
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