semvec/pypi-packages huggingface dataset:
oneNeuron-pypi-trmyo 0.0.2
its an implimentation of Perceptron
Requires Python: >=3.7

# oneNeuron_pypi
oneNeuron_pypi

## How to use this 

``` python
from oneNeuron.perceptron import perceptron

# get  X and Y then below commands
model=Perceptron(eta=eta, epochs=epochs)
model.fit(X,y)

```


# Reference -
[official python docs](https://packaging.python.org/tutorials/packaging-projects/)

[github docs for github actions](https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publising-to-package-registries)
videolytics 0.1
Efficiently process videos
Requires Python: >=3.6

# Videolytics
This is Open Source Project I started because I could not find code for extracting video frames at fixed fps and segment that did not have some sort of memory issue, hence I
turned towards making this library. 

## Converting video frames into numpy array( for a single video ) 
 ``` python 
 from video_preprocessing import video_processing

 video_converter = video_processing()

 filename = "full path to your video"

 Converted_frames = video_converter.load_video(filename,frame_rate = 30, segment=60, normalization = False)


```


## Converting video frames into numpy array( for an entire directory of video ) 
 ``` python 
 from video_preprocessing import video_processing

 video_converter = video_processing()

 filename = "full path to your directory"

 Converted_frames = video_converter.load_video_from_dir(filename,frame_rate = 30, segment=60, normalization = False)


```

## Further features:
More features are being considered and will be added shortly. Moreover, I will also create a pip package soon. 

## Contribution deatils:
All sorts of contribiutions are more then welcome, I will add a contribution guide soon so stay tunned.