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A repository containing Fast Nueral Style, saliency map, adversarial image fooling, and pre-trained convnet class score maximization. Also contains MS COCO captioning.

Jupyter Notebook 98.60% Shell 0.01% Python 1.39%

deepnet-visualization's Introduction

WARNING

  • This script is not tested and should be used on your own risk!

Youtube Video Uploader

A script to bypass Youtube Data API's 10.000/day query limit (every video query costs like 1.6k so that's 6 videos per day).

This script will do the following:

  • Use a slightly changed version of the library in the link here: https://github.com/n8henrie/pycookiecheat, to get YouTube cookies from user's default Chrome browser.

  • Operate with Selenium Webdriver to automate the video uploading procedure to YouTube.

How To

  1. Create a json file which would hold all the parameters of a YouTube video.

  2. Create an Uploader object.

  from uploader import Uploader

  file_path = /path/to/{filename}.json

  uploader = Uploader()
  
  1. Initiate the upload via passing the json file path to upload_video function
  uploader.upload_video(file_path)

deepnet-visualization's People

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