TheWildTool 1.3

Generation of video datasets (under research) 🤖

The Wild Tool. (Summary and Docs)

Downtool is an open sources project developed mainly in python. Currently (November 2022) it is under development, therefore, you may encounter options that are not there or that are buggier than GTA the trilogy when it came out.

Summary

TheWildTool is a tool developed with the main objective of saving time when working with audio datasets. Either to prepare them (segmentation of your raw audio and more), to get them (get content from the internet like YouTube and more) or to train a model with them (train a model with your dataset created with the above and more).

As already said, TheWildTool covers all these sections to have your space much tidier and cleaner. Only a few libraries are sometimes necessary.

Classes Summary

• ProccessAudio: It processes the audio to obtain different types of information in order to train a model.

• GenerateDataSet: Generate extraid datasets of key sites!

• VideoExtract: Process your videos into audio.

Installation

• Using pypi:

pip install TheWildTool

or clonning repository (no recommended)

git clone https://github.com/ElHaban3ro/TheWildTool

and installing the dependencies

py -m pip install -r TheWildTool/requirements.txt

TheWildTool Origin

Comming Soon...

---

Documents

ProccessAudio:

Processes the audios and operates with them.

-- ProccessAudio | type: class

Import:

from TheWildTool.WorkData import ProccessAudio

audiop = ProdcessAudio()

Methods:

• ...add_to_queue:

   ProccessAudio.add_to_queue(route_files: list)
  

  • route_files: list of audio file paths. (.wav)

  Add your audios to the list, and then work with them.

• ...listen:

   ProccessAudio.listen(index: int)
  

  • index: Index of element belonging to extract_queue.

  Show audio in a notebook.

• ...view:

   ProccessAudio.view(index: int, grid  = False, save  = False, image_size  =  (20, 10), **kwargs)
  

  • index: Index of element belonging to extract_queue.
  • grid (bool, optional): Activate or deactivate the grid of your chart. Defaults to False.
  • save (bool, optional): Save the graph in its save_route. Defaults to False.
  • image_size (tuple, optional): Image size (it is not presented in pixels. It is useful to download this if you don't have a good graphic). Defaults to (20, 10).
  • **kwargs (optional).

  It generates a graph that represents the decibels of your audio over time.

VideoExtract:

Extract audio from video files.

-- VideoExtract | type: class

Import:

from TheWildTool.WorkData import VideoExtract

videos = VideoExtract()

Methods:

• ...add_to_queue:

   ProccessAudio.add_to_queue(route_files: list)
  

  • route_files: list of audio file paths. (.wav)

  Add your audios to the list, and then work with them.

• ...to_audio:

   ProccessAudio.to_audio()
  

  Extract the audio from the video.

---

-----> More Examples Here <----- Google Colab

---

---

¿Some error? Contact me