Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] What is the best implementation of neural style transfer in Ubuntu?

Per this discussion: https://www.reddit.com/r/MachineLearning/comments/8o846n/d_what_is_the_best_implementation_of_neural_style/

I’m wondering if there has been any updates.

The consensus seems to be that Jcjohnson still reigns king… However, people found ways to speed it up (https://github.com/lengstrom/fast-style-transfer), clean it up (https://github.com/chuanli11/CNNMRF), or combine speed, quality and effectiveness (https://arxiv.org/pdf/1812.05233.pdf).

I see there have been some repos where people pulled or forked to create their own. I’m hesitant to approach these for their lack of comments/support.

I’ve personally experimented with Jcjohnson and cysmith (https://github.com/cysmith/neural-style-tf) with many happy results. But I’m wondering if people have had luck with others that I’ve missing.

Ultimately, I’m looking for a method that can provide accurate style transfers with minimum artifacts (time is less of a priority) with video capabilities. I have a rig with 2 x GTX 1070 running ubuntu 16.04 LTS.

Cheers.

submitted by /u/lorposralem
[link] [comments]

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.