semvec/pypi-packages huggingface dataset:
ffmpeg-gui 0.0.1
FFMPEG GUI for some common and simple AV operations
License: MIT
Requires Python: >=3.7
Keywords: ffmpeg,gui,audio,video,convert,stitch

# FFMPEG-GUI
Simple TKinter GUI tool written in Python to facilitate some basic audio and video manipulations using ffmpeg

## Installation
The tool can be run on Linux, MacOS and Windows provided the following requirements are met
### Requirements
* [Python 3.7](https://www.python.org/downloads/) or above
* python3-tk (Comes with Python 3, but may need installing seperately in linux using ```apt-get install python3-tk```)

To check what version of python is installed, open a console and run:
```python
python --version
```
If the python version is suitable then run the following to install the image-sorting-tool
```python
pip install ffmpeg-gui
```

## Usage
To launch the program after installation, run:
```bash
ffmpeg-gui
```
awgp-aadhar-pan-extractor 0.0.2
extracts Aadhaar and extracts Pan information
License: MIT
Keywords: aadhar extracts information

Description: This script extracts Aadhaar and extracts Pan information from the image uploaded by consumer. The result is returned
as a json object.

Installation
This library requires Python 3.6+ to run. As well as you also need to install tesseract on your system. If you have Linux based system just run:

use this line for Linux
sudo apt install tesseract-ocr

for windows use 

download tesseract software

'https://github.com/UB-Mannheim/tesseract/wiki'

Then
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract'

For Mac OS

install brew

 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

#install brew in tesseract

 brew install tesseract

#list tesseract

 brew list tesseract

this is list-->

/usr/local/Cellar/tesseract/4.1.1/bin/tesseract 

/usr/local/Cellar/tesseract/4.1.1/bin/tesseract this line use for code
pytesseract.pytesseract.tesseract_cmd = r'/usr/local/Cellar/tesseract/4.1.1/bin/tesseract'

Install the package.

pip install awgp-aadhar-pan-extractor
Then Import the package.

from aadhar_pan_extractor import Pan_Info_Extractor,Aadhar_Info_Extractor
Create an instance of the extractor.

this line use only for aadhar information
extractor = Aadhar_Info_Extractor()

this line use only for pan information
extractor = Pan_Info_Extractor()
Pass the image to the extractor to get the results.

extractor.info_extractor('/content/pan test.jpeg')
This will return a result as following:

{
    "Aadhar_number": "4382 5165 5729",
    "Address": "NAN",
    "DOB": "01/01/2003",
    "Gender": "Male",
}
aadhar-pan-extractor 0.0.2
extracts Aadhaar and extracts Pan information
License: MIT
Keywords: aadhar extracts information

Description: This script extracts Aadhaar and extracts Pan information from the image uploaded by consumer. The result is returned
as a json object.

Installation
This library requires Python 3.6+ to run. As well as you also need to install tesseract on your system. If you have Linux based system just run:

use this line for Linux
sudo apt install tesseract-ocr

for windows use 

download tesseract software

'https://github.com/UB-Mannheim/tesseract/wiki'

Then
pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract'

For Mac OS

install brew

 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

#install brew in tesseract

 brew install tesseract

#list tesseract

 brew list tesseract

this is list-->

/usr/local/Cellar/tesseract/4.1.1/bin/tesseract 

/usr/local/Cellar/tesseract/4.1.1/bin/tesseract this line use for code
pytesseract.pytesseract.tesseract_cmd = r'/usr/local/Cellar/tesseract/4.1.1/bin/tesseract'

Install the package.

pip install aadhar-pan-extractor
Then Import the package.

from aadhar_pan_extractor import Pan_Info_Extractor,Aadhar_Info_Extractor
Create an instance of the extractor.

this line use only for aadhar information
extractor = Aadhar_Info_Extractor()

this line use only for pan information
extractor = Pan_Info_Extractor()
Pass the image to the extractor to get the results.

extractor.info_extractor('/content/pan test.jpeg')
This will return a result as following:

{
    "Aadhar_number": "4382 5165 5729",
    "Address": "NAN",
    "DOB": "01/01/2003",
    "Gender": "Male",
}
django-context-request 0.1.0
Django middleware which provide request and g objectall of which are accessible everywhere, and thread isolation, just like used in flask.
License: MIT
Requires Python: >=3.4.1
Keywords: django request-context global-request

# django-context-request
Django middleware which provide request and g object. all of which are accessible everywhere, and thread isolation, just like used in flask.

## Installing

Install and update using pip:

```
pip install django-context-request
```


## Usage

  1. Add RequestContextMiddleware to MIDDLEWARE in settings.py
  
 ```
 import django_request_context
 
 MIDDLEWARE = [
    ...
    'django_request_context.RequestContextMiddleware',
    ...
    ] 
 ``` 
 
  2. You can get request and g objects anywhere in the project throughout the life cycle of the request.
  just import:
```
from django_request_context import request, g
```

 
## why do you need this?
when your django project is big enough and the function call stack is deep.
if your want to get request object in the bottom of the call stack,
you need to transfer request as parameters layer-by-layer, this can help you get request directly.
the request you import from django-request-context is **readonly** object,
if your want to convey some message you can user g object, this is a **writeable** object.
the behavior of the request and g objects is exactly the same as in the flask.
dupimport 1.0.0
Detect duplicate imports
License: MIT
Requires Python: >=3.6.1

dupimport
=========

Find things you imported twice in your python code, when you probably only needed to import once.

## Installation

`pip install dupimport`

## Usage

Use on a file: `dupimport path/to/file.py`

or use on a folder:
- `dupimport .`
- `dupimport path/to/folder/`

## Caveats

Imports in an `if` statement may be okay