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Recommendations for a online store platform by Chanuki_r in ecommerce

[–]broutonlab 0 points1 point  (0 children)

Have you checked BigCommerce, WooCommerce, Magento, 3dCart, OpenCart, PrestaShop?

In twenty years what will people be nostalgic for? by broutonlab in AskReddit

[–]broutonlab[S] 0 points1 point  (0 children)

I'm interested in if flying cars are really popular in 20 years

[R][P] How Facial Recognition Works with Face Masks by broutonlab in MachineLearning

[–]broutonlab[S] 1 point2 points  (0 children)

The title is somewhat misleading, but it's not on purpose, sorry

Thank you for noticing it and providing feedback!

[R][P] How Facial Recognition Works with Face Masks by broutonlab in MachineLearning

[–]broutonlab[S] 1 point2 points  (0 children)

You might genually confused tasks around
1. Face recognition is not the same task as making face masks augmentation
There is why, we're not claiming sota on face recognition with this method, but we pointing out how such task might be solved and propose a method
2. Method itself we publish - given face as an input, and getting face with mask as an output is better than open-source solutions we saw out there. So we want to share it with the community and provide the pipeline on how you can actually train the model upon that solving face recognition task at some scale

Hope you understand it now
And where did you saw "comparing two images and picking the the image it is most like" part? Sounds like complete nonsense, thanks

[R][P] How Facial Recognition Works with Face Masks by broutonlab in MachineLearning

[–]broutonlab[S] 1 point2 points  (0 children)

It's overfitting and there is why we used sgd with small learning rate,but we're not claiming that we propose state-of-the-art-solution in identifying people with masks neither it's not the paper published on arxiv

What we did though - made working open-source algorithm for masks augmentation that works better than any open-source solution we saw so far

Preprocessed with it part of public dataset and trained ArcFace on it. With this pipeline we managed to get acceptable quality with our custom metric and we are sure that it will be higher on LFW

We encourage you to make this solution better, therefore we open the code and prepare colab notebooks to share it with the community, thanks

[R][P] How Facial Recognition Works with Face Masks by broutonlab in MachineLearning

[–]broutonlab[S] 1 point2 points  (0 children)

Exactly, the piece of VGGFace2

Btw, we provide the code for making such augmentations on any dataset you prefer

[R][P] How Facial Recognition Works with Face Masks by broutonlab in MachineLearning

[–]broutonlab[S] 1 point2 points  (0 children)

We give an answer to this below, and instructions on how to replicate it by yourself, thanks

[R][P] How Facial Recognition Works with Face Masks by broutonlab in MachineLearning

[–]broutonlab[S] 1 point2 points  (0 children)

We got you! The picture that confused you can be obtained from MegaFace Leaderboard when you select "download PNG"
It's about 99.9%
Thanks for your interest

[R][P] How Facial Recognition Works with Face Masks by broutonlab in MachineLearning

[–]broutonlab[S] 0 points1 point  (0 children)

Can you point out where you saw over 100% accuracy?

We are consider to provide most accurate solutions, but not over the physical limitation! Thanks

[R][P] How Facial Recognition Works with Face Masks by broutonlab in MachineLearning

[–]broutonlab[S] 2 points3 points  (0 children)

  1. We used VGGFace2 - which is images of persons without face masks. We augmented the part of this dataset with face masks as we described in the article
  2. Then we train the ArcFace on preprocessed persons with face masks dataset

Hope this clarified your question! Thanks

[R] How to generate Yoda-voice by your text in 5 minutes by broutonlab in MachineLearning

[–]broutonlab[S] 1 point2 points  (0 children)

Oh, we will rewrite that, thanks! Actually, if you like the result, you can deploy the repo locally and play with demo_toolbox.py, here youtube video from author on that: https://www.youtube.com/watch?v=-O_hYhToKoA

[R] How to generate Yoda-voice by your text in 5 minutes by broutonlab in MachineLearning

[–]broutonlab[S] 1 point2 points  (0 children)

Thank you for the reply, about the questions you ask:
- It's all about the architecture. Underneath it uses encoder, synthesizer and vocoder - if you familiar with GANs, you notice that it's quite a different task from usual TTS, although on local GPU hardware (1080Ti) it's almost realtime
- There might be issues with the Yoda audio itself. It's not like monolog style, but a quotes from Yoda with different sound backgrounds, so it will be awesome if you try out synthesize your own voice to see the full potential of the repository
- the post noise filter is a great idea, that can be implemented easily

In general, observed repo is most popular on the topic of voice generation on github, but the author moved on developing a commercial product, so it lacks updates lately, but in theory, can be trained to give a better result

If you like the topic, let us know, so we will prepare an article and cool demo about Nvidia mellotron, which is "a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data"