semvec/pypi-packages huggingface dataset:
human-parsing 0.0.4
Human Parsing SDK

# Human Parsing SDK API

# Installation:
[![PyPI version](https://badge.fury.io/py/huamn_parsing.svg)](https://badge.fury.io/py/huamn_parsing)
[![PyPI Downloads/Month](https://pepy.tech/badge/huamn_parsing/month)](https://pepy.tech/project/huamn_parsing)
[![PyPI Downloads](https://pepy.tech/badge/huamn_parsing)](https://pepy.tech/project/huamn_parsing)

`pip install human_parsing`

##### Install latest version before it's published on PyPi
`pip install -U git+https://github.com/HumanParsingSDK/human_parsing_sdk`

## Supported tasks:
* Person whole stature segmentation

Sample 1 | Sample 2 | Sample 3                                           
:---:|:---:|:---:
![alt-text-1](figures/result1.jpg) | ![alt-text-2](figures/result2.jpg) | ![alt-text-2](figures/result3.jpg)

## Weights storage
Weights and models are hosted [there](https://github.com/HumanParsingSDK/weights)

It'll be download automatically to your `<path to user home dir>/.human_parsing` directory
forwardAlerts4 0.0.1
A forum for fake job postings
Requires Python: >=3.6

# FORWARD4-ALERTs

A CLI app used to stimulate a forum for fake job alerts


### How to install 


Verify that you have the following prerequisites in place before installing the sample:

1. Install Python from https://www.python.org/. The program can be run on any operating system that supports Python 3.x, including recent versions of Windows, Linux, and Mac OS. In some cases, you may need to use a different command to launch Python. 

Follow these steps to install the sample code on your computer:

Clone the repo with this command:

`git clone https://github.com/startng/forward4_alerts.git`   

Create and activate a virtual environment (optional). 

In the root folder of your cloned repo, install the dependencies for the sample as listed in the requirements.txt file with this command: pip install -r requirements.txt.



### How to use
Follow these steps to run the sample app:
1. Go into the root directory of the repo

2. Then run the following command on the terminal   
    `python runs.py`