semvec/pypi-packages huggingface dataset:
tracking-py 1.1.1
Monitor a person's body with just a webcam


# Tracking

A biblioteca **Tracking** Ã© projetada para facilitar o rastreamento de caracterÃ­sticas do corpo em imagens com **Mediapipe**. Ela fornece uma estrutura organizada para manipular e acessar pontos de referÃªncia, bem como suas coordenadas em 2D e 3D.



## InstalaÃ§Ã£o

Para instalar a biblioteca, utilize o seguinte comando:

```bash
  pip install tracking
```
    
## Exemplos

Desenhando as mÃ£os de uma imagem local
```python
import cv2
from tracking.hand_tracking import Tracking # Importando apenas o mÃ³dulo de hand_tracking

# Carregando uma imagem
image = cv2.imread('path/to/image.jpg')

# Instanciando a classe de tracking
hand_tck = Tracking()

# Busca todas as mÃ£os na imagem
hands = hand_tck.predict(cv2.cvtColor(image, cv2.COLOR_RGB2BGR))
for hand in hands:
    hand.draw(image, (255, 0, 0)) # Desenha todas as mÃ£os encontradas

cv2.imshow("Hand(s)", image) # Mostrar imagem
cv2.waitKey() # Esperar o usuario clicar alguma tecla
cv2.destroyAllWindows()
```

Desenhando cada dedo separadamente e detectando quais dedos estÃ£o levantados
```python
import cv2
import tracking as tck

# 1Â° parametro: Define o tamanho da tela
# 2Â° parametro: Define a webcam que serÃ¡ usada
# 3Â° parametro: Define quais tipos de tracking deve carregar os modulos
tck.init((1920, 1080), 0, flags=tck.type.HAND_TRACKING)

# Instancia a classe de tracking de mÃ£os
hand_tck = tck.HandTracking(tck.running_mode.LIVE_STREAM,   # running_mode = LIVE_STREAM para rastrear de forma assincrona
                            max_num_hands=2)                # max_num_hands = 2 Para rastrear atÃ© duas mÃ£os ao mesmo tempo
cap = tck.CONFIG.VIDEO_CAPTURE # Referencia para a webcam

# Enquanto webcam estiver aberta
while cap.isOpened:
    # Obtem todas as mÃ£os na camera (side_mirror=True se a imagem estiver invertida)
    hands = hand_tck.predict(side_mirror=True)

    # Ultimo frame que foi capturado
    frame = cap.frame

    for hand in hands:
        for finger in tck.finger:
            # Cor azul caso o dedo estiver levantado, senÃ£o, cor vermelha
            color = (255, 0, 0) if hand.finger_is_raised(finger) else (0, 0, 255)
            # Desenha apenas o dedo atual do loop
            hand.draw(frame, color, palm=False, fingers=[finger])

    # Mostra a imagem
    cv2.imshow("WebCam", frame)
    if cv2.waitKey(10) & 0xFF == 27:    # Se apertar Esc
        cap.close()                     # Fecha a webcam

cv2.destroyAllWindows() # Fecha a janela aberta pelo programa
```


## Autores

| ilunnie | marcoshrb |
| :---: | :---: |
| [![ilunnie](https://github.com/ilunnie.png?size=115)](https://github.com/ilunnie) | [![marcoshrb](https://github.com/marcoshrb.png?size=115)](https://github.com/marcoshrb) |


## LicenÃ§a

[Apache-2.0](https://choosealicense.com/licenses/apache-2.0/)
aa-skyhook-intel 0.1.1
Skyhook Intel app for Alliance Auth.
Requires Python: >=3.10

# Skyhook Intel

AA module for gathering skyhook timers.

[![release](https://img.shields.io/pypi/v/aa-skyhookintel?label=release)](https://pypi.org/project/aa-skyhookintel/)
[![python](https://img.shields.io/pypi/pyversions/aa-skyhookintel)](https://pypi.org/project/aa-skyhookintel/)
[![django](https://img.shields.io/pypi/djversions/aa-skyhookintel?label=django)](https://pypi.org/project/aa-skyhookintel/)
[![license](https://img.shields.io/badge/license-MIT-green)](https://gitlab.com/r0kym/aa-skyhookintel/-/blob/master/LICENSE)

## Features:

- Load skyhooks in a constellation/region through admin commands
- Displays Skyhooks with and without timers in separate tables
- Extracts data from the information on the skyhook in space window that can be copied to a clipboard

### Screenshots

## Installation

### Step 1 - Check prerequisites

Skyhook Intel is a plugin for Alliance Auth. If you don't have Alliance Auth running already, please install it first before proceeding. (see the official [AA installation guide](https://allianceauth.readthedocs.io/en/latest/installation/auth/allianceauth/) for details)

### Step 2 - Install app

Make sure you are in the virtual environment (venv) of your Alliance Auth installation. Then install the newest release from PyPI:

```bash
pip install aa-skyhookintel
```

### Step 3 - Configure Auth settings

Configure your Auth settings (`local.py`) as follows:

- Add `'skyhookintel'` to `INSTALLED_APPS`

### Step 4 - Finalize App installation

Run migrations & copy static files

```bash
python manage.py migrate
python manage.py collectstatic --noinput
```

Restart your supervisor services for Auth.

### Step 5 - Load data

You can load data using 2 commands depending on the area you want to cover.
Commands can take some time to execute so avoid loading an entire region if you only need a few systems.

#### Region:

```shell
python manage.py skyhook_intel_create_region [[region_id]]
```

#### Constellation:

```shell
python manage.py skyhook_intel_create_constellation [[constellation_id]]
```

Once the data is loaded you can add skyhooks owners using in the admin panel.
almighty-image-processing 0.0.1
image Processing Package using Skimage
Requires Python: >=3.5

# image_processing

Description. 
The package image_processing is used to:
	Processing:
		- Histogram matching
		- Structural similarity
		- Resize image
	Utils:
		- Read image
		- Save image
		- plot image
		- plot result
		- plot histogram


## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install image_processing
```

## Usage

```python
from package_name.module1_name import file1_name
file1_name.my_function()
```

## Author
AlmigthyMatheus

## License
[MIT](https://choosealicense.com/licenses/mit/)
ak_pdf2md 0.0.3
Convert PDF to Markdown using LlamaParse
Requires Python: >=3.11.0

<!--- Heading --->
<div align="center">
  <h1>ak_pdf2md</h1>
  <p>
    Convert PDFs to Markdown using llamaparse 
  </p>
</div>
<br />

<!-- Table of Contents -->
<h2>Table of Contents</h2>

- [About the Project](#about-the-project)
- [Getting Started](#getting-started)
  - [Prerequisites](#prerequisites)
  - [Installation](#installation)
    - [Production](#production)
- [Usage](#usage)
- [License](#license)
- [Contact](#contact)

<!-- About the Project -->
## About the Project


<!-- Getting Started -->
## Getting Started

<!-- Prerequisites -->
### Prerequisites

Python 3.11 or above

LLamaParse [API Key](https://cloud.llamaindex.ai/login) from Llamacloud

<!-- Installation -->
### Installation

#### Production

```bash
  pip install ak_pdf2md
```

<!-- Usage -->
## Usage

**Python**

```python
from ak_pdf2md import test_config, pdfparser

test_config() # Test if config.toml has been correctly set up

# Convert to markdown in same dir
pdfparser.convert(filepath="/path/to/pdf")

# Explicit Conversion
pdfparser.convert(filepath="/path/to/pdf", dest_dir="/dest", extension=".md")

#Can pass additional parser commands per #https://docs.cloud.llamaindex.ai/llamaparse/features/parsing_options
pdfparser.convert(
    filepath="/path/to/pdf", 
    parsing_instruction="You are parsing a receipt from a restaurant."
  )

```

**Terminal**

```bash
app --help    # Input Help

test          # Test if config is correctly setup
```

<!-- License -->
## License

See [LICENSE](/LICENSE) for more information.

<!-- Contact -->
## Contact

Arun Kishore - [@rpakishore](mailto:pypi@rpakishore.co.in)

Project Link: [https://github.com/rpakishore/ak_pdf2md](https://github.com/rpakishore/ak_pdf2md)