131–140 of 148 posts
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What was the hack?
When using React Native (and also storing your network in JS) you can choose to push updates and fixes to JS part of your code without going through store again. Check: http://microsoft.github.io/code-push/
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How long did it take you to build the app? How many devs worked on it and who got to feed the training data set?
I should say a lot of people made the app possible, including the show's awesome producers, writers, designers, and a lot of kind folks at HBO. To answer your question, I was the only dev on the project, and I've been working on it since last Summer, on a very part-time basis (some nights and weekends). A lot of time was spent learning Deep Learning to be honest. The last revision of the neural net was designed & tra…
In the early 90's, I had the honor of corresponding with "Uncle Frank" Webster [1], the curator of the Hot Dog Hall of Fame [2]! It boasts of more than 2,500 frankfurter items, including the Lamborweenie, a dog on wheels that "Uncle Frank" hopes some day to race against the Oscar Meyer Weinermobile [3]. Unfortunately the hot dog museum is currently closed and in (hopefully refrigerated) storage [4], otherwise the museum, gallery and gift shop would be a great place to train your app.
He asked for permission to publish in his newsletter a gif [5] of a photo I'd taken and put on my web site of the Doggie Diner head [6] on Sloat Boulevard in San Francisco [7]. (This was years before John Law acquired all the Doggie Diner heads he could find for his restoration project [8], so there weren't so many photos on them on the internet at the time.)
Of course I gave him permission because he asked so politely, and although at first he seemed a little creepy, I could tell he was authentic and sincere since he signed his correspondence: "With Relish, Uncle Frank." [9] And he even delivered on his promise to send me copies of his newsletter!
He enthusiastically informed me that the highest quality hot dogs he's ever found are from Top Dog in Berkeley [10]. He admitted that he went through their dumpster to find out where they sourced them from because they wouldn't tell him, and he vouches that they are made from the finest possible ingredients. I agree with Uncle Frank that Top Dog has really excellent hot dogs (ask for them cooked butterfly style), and I take him at his word that they come from a reputable source. You can now actually order them online [11] if you would prefer not to go through their dumpster.
[1] http://www.smithsonianmag.com/arts-culture/hot-dogs-are-us-6...
[2] http://thehotdoghalloffame.blogspot.nl/
[3] https://www.questia.com/magazine/1G1-19007874/the-almost-all...
[4] http://www.roadsideamerica.com/tip/20747
[5] http://donhopkins.com/home/catalog/images/DoggieDiner.gif
[6] https://en.wikipedia.org/wiki/Doggie_Diner
[7] http://www.roadsideamerica.com/story/14441
[8] https://www.kickstarter.com/projects/2118888480/doggie-diner...
[9] http://www.downtownmakeover.com/comments.asp?CZID=17
Hm, is this an officially licensed HBO marketing stunt? Or does SeeFood Technologies Inc. actually exist as a corporation? If not, I'm curious what the legal ramifications are of doing business as a corporation that does not exist.
"Seller: Home Box Office Inc."
Hm, is this an officially licensed HBO marketing stunt? Or does SeeFood Technologies Inc. actually exist as a corporation? If not, I'm curious what the legal ramifications are of doing business as a corporation that does not exist.
Ha didn't expect this to end up here. If anyone is interested, I'm working on a blogpost explaining how we built the app in detail… It uses embedded TensorFlow on device (better availability, better speed, better privacy, $0 cost), with a custom neural net inspired by last month's MobileNets paper, built & trained with Keras. It was loads of fun to build :)
Ha didn't expect this to end up here. If anyone is interested, I'm working on a blogpost explaining how we built the app in detail… It uses embedded TensorFlow on device (better availability, better speed, better privacy, $0 cost), with a custom neural net inspired by last month's MobileNets paper, built & trained with Keras. It was loads of fun to build :)
Ha didn't expect this to end up here. If anyone is interested, I'm working on a blogpost explaining how we built the app in detail… It uses embedded TensorFlow on device (better availability, better speed, better privacy, $0 cost), with a custom neural net inspired by last month's MobileNets paper, built & trained with Keras. It was loads of fun to build :)
the funny thing is that there are already "seefood"s out there. Among others: https://www.infino.me/hungrybot
I was REALLY depressed after watching these last two episodes. HungryBot was easily the coolest thing I've done in my unfunded nonprofit. But it was too buggy to fly. Kicked it out of the nest too early, but to the best of my knowledge it was the first deep learning food recognition app.
Looking for philanthropists if anyone wants to help me study diabetes with apps like this.
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I'm pretty sure he means the app is only available in the US store and not commenting on the shape or size of american "hot-dogs".
Hey, the show did a whole scene about taking a dick joke too seriously, I figured a comment doing the same could work. I appear to have been wrong about that! Or, at the very least, I need to work on my delivery.
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the funny thing is that there are already "seefood"s out there. Among others: https://www.infino.me/hungrybot
Daww! I'm the author, thanks! I was REALLY depressed after watching these last two episodes. HungryBot was easily the coolest thing I've done in my unfunded nonprofit. But it was too buggy to fly. Kicked it out of the nest too early, but to the best of my knowledge it was the first deep learning food recognition app. Looking for philanthropists if anyone wants to help me study diabetes with apps like this.
For anyone keen to learn more about object detection (and deep learning in general), I just finished working through an excellent free MOOC taught by Jeremy Howard (former chief scientist at Kaggle) - you basically learn how to fine-tune a convolutional neural network with your own data (e.g. hotdog vs not hotdog) in lesson 2! http://course.fast.ai/lessons/lesson2.html
I can't recommend that course enough! I attended it in person and got a lot out of it. Jeremy & Rachel were also enormously kind & helpful outside of class.
