semvec/pypi-packages huggingface dataset:
PyHandyUtils 0.0.1a0
Collection of handy utils for Python.
Requires Python: ~=3.9
Keywords: Python

# Handy Python

[![Test](https://github.com/leven-cn/handy.py/actions/workflows/test.yml/badge.svg)](https://github.com/leven-cn/handy.py/actions/workflows/test.yml)
[![Lint](https://github.com/leven-cn/handy.py/actions/workflows/lint.yml/badge.svg)](https://github.com/leven-cn/handy.py/actions/workflows/lint.yml)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)

Collection of handy utils for Python.

## License

[Apache License 2.0](https://github.com/leven-cn/handy.py/blob/master/LICENSE)
vrsjp 0.0.1
A package for scoring number of vaccinated people in Japan
Requires Python: >=3.6

# vrsjp

## This program is to confirm the number of vaccinated people in Japan

Download the data from here（http://data.vrs.digital.go.jp/vaccination/opendata/latest/summary_by_date.csv）

The information displayed in this program is the number of new vaccinations for the new coronavirus vaccine. The first inoculation, the second inoculation, and the third inoculation are displayed in different colors.
visbeat3 1.0.1
Python3 Implementation for 'Visual Rhythm and Beat' SIGGRAPH 2018

# visbeat3

This is a migration of [visbeat](http://abedavis.com/visualbeat/) from Python2 to Python3. Head over to an example notebook on [Colab](https://colab.research.google.com/drive/1rYyhNtIsICk1osGrHMPr2zISwSIysCpT?usp=sharing)!

<img src="https://github.com/haofanwang/visbeat3/blob/main/data/image.png" width="100%" height="100%">

This work presents a visual analogue for musical rhythm derived from an analysis of motion in video, and shows that alignment of visual rhythm with its musical counterpart results in the appearance of dance. You can visit the official [project page](http://abedavis.com/visualbeat/) and [demos](http://abedavis.com/visualbeat/demo/) for more infos.


## Install

```
$ pip3 install visbeat3
```

## Usage

```
import os
import time

import matplotlib
import matplotlib.pyplot as plt

import numpy as np
import visbeat3 as vb

source_video = vb.PullVideo(name='video', source_location='./data/01.mp4')

# You can also directly specify an audio
# source_audio = vb.Audio('./data/all star.mp3')
source_audio = vb.PullVideo(name='audio', source_location='./data/02.mp4')

synch_video_beat = 0
synch_audio_beat = 0
nbeats = 32

output_path = './result.mp4'

# If source_audio is from an audio file, use target=source_audio 
warped = vb.Dancify(source_video=source_video, 
                    target=source_audio.getAudio(), 
                    synch_video_beat=synch_video_beat,
                    synch_audio_beat=synch_audio_beat, 
                    force_recompute=True, 
                    warp_type='quad',
                    nbeats=nbeats, 
                    output_path=output_path)
```

## Used By
[video-bgm-generation](https://github.com/wzk1015/video-bgm-generation): video background music generation.


## Reference
```
@inproceedings{davis2018visual,
  title={Visual rhythm and beat},
  author={Davis, Abe and Agrawala, Maneesh},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={2532--2535},
  year={2018}
}
```