Comments (40)
Hey everyone! We've finished training the model and it's available here https://drive.google.com/open?id=1QJr5HBv8PAjJuVNB9zf8EiA6IcIVCswa
Here's a video of it in action: https://twitter.com/genekogan/status/1136261959970709504
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As we mentioned in the GTC, we are making an online demo for everyone to play with the Flickr model (any mobile devices or desktops) and likely a standalone version for everyone with an NVIDIA GPU. Hopefully, it will not take too long.
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Not sure how much help I could be for actually training the network, but I would love to know if / when this happens! I made a pretty rudamentary web UI for this, and would love to be able to use the Flickr model on it. Source code and public site: http://www.smartsketch.xyz
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@noyoshi Training will take 1-2 weeks.
As of being of help, the guys and I can go two ways: pull together our own GPU resources, or buy AWS. If we settle on the latter, anyone could be of help by pledging money; most likely only one of us (the most experienced one) will actually train the model.
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That's a great idea! Count me in.
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And me.
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Also count me in.
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Telegram would be great. Same username as Github.
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Telegram, Discord, WhatsApp work well for me - emailed you my usernames in each of them. Btw, @Ares97, @Lokiiiiii, @aeti-in - you guys seem to be interested in this as well?
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I'm using WhatsApp, just sent an email to u, please check it out.
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I'm using telegram as well, identical with WhatsApp.
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@sidyakinian count me in as well, I just sent you an email
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We've accomplished Flickr datasets(41K) training last week.
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The official Flickr model is available as a web demo via https://www.nvidia.com/en-us/research/ai-playground/
Better models will likely come in the summer. Stay tuned.
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on what license such model would be?
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on what license such model would be?
@Ares97 Likely the same license that SPADE was released under
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Okay, looks like we have a few people. Let's form a group chat in some messenger to discuss the next steps. @code-de, @hologerry, and @banyet1, would you please email me or just comment here which few messengers among these you find convenient?
- Messenger
- iMessage
- Discord
- Telegram
We can then choose the messenger everyone picked and host the group chat there. My email is on my profile page.
@harsh2204, @wasd96040501, if you decide to join, you're welcome to email me too!
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@sidyakinian i am also interested in this. please include me!
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@sidyakinian i am also interested in this. please include me!
@genekogan Sure! Please remember to email me or comment some messengers so that you can join.
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@hologerry, @banyet1 So you guys picked different options, Telegram and WhatsApp, could one of you use the other messenger so that we can gather in one chat? Either of those two is fine with me and @code-de
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I assume there are no segmentation masks for this dataset available, right? So those will also have to be made (or inferred using another network)
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@aman-tiwari Yes, we'll have to create the dataset ourselves. Thankfully, SPADE researchers used DeepLabV2 for it, which works pretty quickly. We'll just use that or something similar.
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@mingyuliutw That's awesome! I've heard somewhere that it's going to be released in summer.
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It's maybe a dumb question, but what's the main reason, of the missing Flickr model? Is it it's sheer size or are there any licencing issues?
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Following
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@bitcoinmeetups Hi! Please email me your Telegram if you wanna join the chat
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It's awesome ! count me in as well
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Very interested. Count me in
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@banyet1 What are your plans now that the model is complete? Do you have any intention of making it available to others? I would love to test it out.
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@genekogan Great work!
Are there any plans to release the collected Flickr dataset?
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@genekogan Nice !!
Do you have any plans to release the dataset?
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@mingyuliutw Is there a plan to release the actual model, not just the tool to play with it?
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@genekogan Thanks for your efforts, could the flickr dataset be shared with us?
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i'm not sure if releasing the dataset would violate the licenses of the actual photos as they belong to other people. if we can release it, i have no problem with that.
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i'm not sure if releasing the dataset would violate the licenses of the actual photos as they belong to other people. if we can release it, i have no problem with that.
It is indeed a tough problem. What methods you used to extract the sematic layout of flickr images, you annotated some samples and trained the model on your own, or used existing model?
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What methods you used to extract the sematic layout of flickr images, you annotated some samples and trained the model on your own, or used existing model?
I always create my own datasets, either creating my labels or generating them from a 3D application but I know this a very specific scenario.
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@genekogan Flickr contains lots of photos which are licensed under the Creative Commons license. If you pick only these for training, I am pretty sure the trained model could be published under the same license again.
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@aviel08 @genekogan Is it permissible to share some sematic labels for the Flickr images along with the dataset/dataloader script, I just want to test the pretrained model, thanks.
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Related Issues (20)
- How can I run this using RGB label as input ? HOT 4
- CUDA error: device-side assert triggered HOT 1
- Two update_learning_rate with same name
- RuntimeError: cublas runtime error : an access to GPU memory space failed at
- Converting to onnx HOT 2
- Choice between multi-scale discriminator and progrssive growing of GANs ?
- How many categories have you predicted for flickr data using deeplab?
- How "label_nc" in the setting works? HOT 2
- CUDA Error?? HOT 4
- Public API
- Extend to instance segmentation
- IndexError with custom dataset HOT 2
- errors with custom dataset HOT 3
- how to prepare the custom datasets?
- Issue a black background is added to the transparent image HOT 1
- GauGAN2 Paper HOT 1
- add --tf_log , program can not run HOT 1
- any pretrained models on ade20k or cityscapes with use_vae?
- Online demo app no longer on nvidia site?
- Training the model for Image to Image translation without label_nc and instance maps.
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