semvec/pypi-packages huggingface dataset:
litext 0.1
Simple search engine built on top of SQLite
Requires Python: >=3.7

# litext

> Lightweight and fast full-text search engine. Built on top of SQLite.

## Why?

## Installation

```
pip install litext
```

## Alternatives

## Examples

## Meta

Ricardo Ander-Egg Aguilar – [@ricardoanderegg](https://twitter.com/ricardoanderegg) –

- [ricardoanderegg.com](http://ricardoanderegg.com/)
- [github.com/polyrand](https://github.com/polyrand/)
- [linkedin.com/in/ricardoanderegg](http://linkedin.com/in/ricardoanderegg)

Distributed under the --- license. See `LICENSE` for more information.

## Contributing

The only hard rules for the project are:

- No extra dependencies allowed
Inpr 0.1
A deep learning based project to detect indian number plates
Requires Python: >=3.6
Keywords: Deep Learning,Computer Vision,Pytorch,Detectron2


# Indian Number Plate Recognition

An open source Indian Number Plate Recogniton library built using deep learning.

For GUI version please go to this [repo](https://github.com/patrickn699/Indian-Number-Plate-Extraction).

![](https://img.shields.io/badge/Python-FFD43B?style=for-the-badge&logo=python&logoColor=darkgreen)

![PyTorch](https://img.shields.io/badge/PyTorch-%23EE4C2C.svg?style=for-the-badge&logo=PyTorch&logoColor=white)









## Version and updates

* v0.01
    * Detect number plates and extract the texts from it.

* Docker image comming soon!





## Screenshots

![App Screenshot 1](https://github.com/patrickn699/INPR/blob/main/test_img/p1.png?raw=true)

![App Screenshot 1](https://github.com/patrickn699/INPR/blob/main/test_img/p2.png?raw=true)

![App Screenshot 1](https://github.com/patrickn699/INPR/blob/main/test_img/p3.png?raw=true)

![App Screenshot 1](https://github.com/patrickn699/INPR/blob/main/test_img/p4.png?raw=true)


## Installation

This library can be installed on windows and linux just follow the below steps based on your OS.

### for windows

1. I would suggest before installing please create an anaconda environment.

```python
conda create -n "env-name" python==3.7

```

2. Install torch and detectron2

```python
pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html

python -m pip install git+https://github.com/facebookresearch/detectron2.git

```

3. Then install INPR package

```python
pip install INPR

```

### for linux

1. install torch and detectron2

```python
pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
python -m pip install detectron2 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cpu/torch1.7/index.html
```

2. Then simply install the INPR package

```python
pip install INPR

```




 













## Usage

To detect the plates here is an example

```python
    from INPR import detect_plates
    import matplotlib.pyplot as plt

    im = 'test_img/kia.jpg'
    grap,op,img = detect_plates(im)
    plt.imshow(grap)

```

In the above example the method "detect_plates" returns three
values which are:-

    1. the image along with detected plates
    2. the bounding boxes of the detected plates
    3. the passed image iteself

Optionally you can also try to extract the text present inside the detected plates by the following example:

```python

    from INPR import fetch_details, detect_plates

    im = 'test_img/kia.jpg'

    grap,op,img = detect_plates(im)
    num_plate_text = fetch_details(op,img)
    
    print(num_plate_text)   

```






## Feedback and queries

If you have any feedback, bugs, queries please reach out to me on [Linkedin](https://www.linkedin.com/in/prathmesh-patil-b151051a3) and also raise an GitHub issue about the same.
pyshell-msg 0.1.1
Log/print your status and messages on python shell or terminal
Keywords: python,pyshell_msg,status,shell,messages,application,logs,status,print,format

ï»¿

A python package to log/print your status and messages on shell or terminal in a
standardized yet customizable format.


```
--<App> $ message > value
```

## Installation

```
pip install pyshell-msg
```

## Usage
Import module
```python
from pyshell_msg.shell import Shell
```

Initialize class ``Shell`` with name of your application.

```python

my_shell = Shell("My application")
```

Use ``msg`` method to print your ``message`` and ``value``

```python
my_shell.msg(message="Hello There",value=001)
my_shell.msg(message="This is second message",value=002)
my_shell.msg(message="No Value")
```


## Output
```
--<My application> $ Hello There               > 001 
--<My application> $ This is second message    > 002 
--<My application> $ No Value                   
```
Spacing remain constant to have uniform-looking logs for your application.