gabriele6/inceptiontube

Downloading and classifying Youtube videos with InceptionV3 on Keras/Tensorflow

InceptionTube

A library for downloading and classifying Youtube videos with Inception V3 on Keras/Tensorflow

Installation

Create a new folder and clone the repository

mkdir InceptionTube
cd InceptionTube
git clone origin https://github.com/gabriele6/InceptionTube.git

Install the environment by using the environment.yml file

$ conda env create -f environment.yml

Finally, install the package

pip install .

You can also install it from the package index

pip install inceptiontube

How to use

From your terminal, get into the Conda environment created:

$ source activate test.py

Create a my_script.py file, import the package

import inceptiontube

Now you can run every method in the package

result = youtubeQuery("funny cats video")

NOTE: by default, you need videos/ and screens/ folders in the same directory.

$ mkdir ./videos  
$ mkdir ./screens

You can change the directories by using the setVideoPath and setScreensPath methods.

The full code documentation can be found in docs/build/html/index.html

Non-trivial application

The package contains a non-trivial application of the library. It calls a Youtube query and analyzes videos until it finds the first n videos containing the requested category.
Usage:

downloadAndClassify( "query", "category", n )  

ex:

downloadAndClassify( "surfing sea lion", "sea_lion", 3 )

The full list of available categories can be found in the categories.txt file

The final output is a list of n videos containing the requested category.

Please note, it may take a while to execute, depending on your hardware's capabilities and download speed.