Mehdi Cherti mehdidc

With the release of Vivaldi 2.2, this page is now obsolete and unmaintained. Widevine is fetched automatically on post install of our official packages. The information below and the script are left for historical reasons but will not be updated.

If you are using something newer than Vivaldi 2.2, you should not be using this script as there is simply no need. Any need you think you have for it would be a bug IMHO and thus should be logged in a bug report. Before you do so however, you should also checkout the Vivaldi help page on Widevine, on Linux

Summary

A bunch of people asked how they could use this script with pure Chromium on Ubuntu. The following is a quick guide. Though I still suggest you at least try Vivaldi. Who knows, you might like it. Worried about proprietary componants? Remember that libwidevinecdm.so is a b

Pixel Recurrent Neural Network

Introduction

Problem: Building an expressive, tractable and scalable image model which can be used in downstream tasks like image generation, reconstruction, compression etc.
Link to the paper

Model

Scan the image, one row at a time and one pixel at a time (within each row).

	n02119789 1 kit_fox
	n02100735 2 English_setter
	n02110185 3 Siberian_husky
	n02096294 4 Australian_terrier
	n02102040 5 English_springer
	n02066245 6 grey_whale
	n02509815 7 lesser_panda
	n02124075 8 Egyptian_cat
	n02417914 9 ibex
	n02123394 10 Persian_cat

	import numpy as np
	from keras.layers import GRU, initializations, K
	from collections import OrderedDict

	class GRULN(GRU):
	'''Gated Recurrent Unit with Layer Normalization
	Current impelemtation only works with consume_less = 'gpu' which is already
	set.

	# Arguments

	"""
	Example of iterating Bach Chorales and getting individual voice parts
	In this case, want specifically 4 voice pieces only
	Also transpose to key of C (major or minor depending on piece)
	Also shows how to write out all the xml as midi
	"""
	# Author: Kyle Kastner
	# License: BSD 3-Clause
	# Based on StackOverflow answer
	# http://stackoverflow.com/questions/36647054/music21-getting-all-notes-with-durations

	from tf_logger import TFLogger


	""" Example of using TFLogger to save train & dev statistics. To visualize
	in tensorboard simply do:

	tensorboard --logdir /path/to/summaries

	This code does depend on Tensorflow, but does not require that your model
	is built using Tensorflow. For instance, could build a model in Chainer, then

	#!/usr/bin/env python
	"""
	A quick, partial implementation of ENet (https://arxiv.org/abs/1606.02147) using PyTorch.
	The original Torch ENet implementation can process a 480x360 image in ~12 ms (on a P2 AWS
	instance). TensorFlow takes ~35 ms. The PyTorch implementation takes ~25 ms, an improvement
	over TensorFlow, but worse than the original Torch.
	"""

	from __future__ import absolute_import

	Code Complete by Steve McConnell

	Jeff Atwood (Coding Horror)
	https://blog.codinghorror.com/code-reviews-just-do-it/

	Measuring Defect Potentials and Defect Removal Efficiency
	http://rbcs-us.com/site/assets/files/1337/measuring-defect-potentials-and-defect-removal-efficiency.pdf

	Expectations, Outcomes, and Challenges Of Modern Code Review
	https://www.microsoft.com/en-us/research/publication/expectations-outcomes-and-challenges-of-modern-code-review/