Discover and read the best of Twitter Threads about #tflite
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4/10 - Cut & paste your surroundings to Photoshop
Code: github.com/cyrildiagne/ar…
Book: @HOLOmagazine
Garment: SS17 by @thekarentopacio
Type: Sainte Colombe by @MinetYoann @ProductionType
Technical Insights: ↓
#ML #AR #AI #AIUX #Adobe #Photoshop
Code: github.com/cyrildiagne/ar…
Book: @HOLOmagazine
Garment: SS17 by @thekarentopacio
Type: Sainte Colombe by @MinetYoann @ProductionType
Technical Insights: ↓
#ML #AR #AI #AIUX #Adobe #Photoshop
The secret sauce here is BASNet (Qin et al, CVPR 2019) for salient object detection and background removal.
The accuracy and range of this model are stunning and there are many nice use cases so I packaged it as a micro-service / docker image: github.com/cyrildiagne/ba…
The accuracy and range of this model are stunning and there are many nice use cases so I packaged it as a micro-service / docker image: github.com/cyrildiagne/ba…
And again, the OpenCV SIFT trick to find where the phone is pointing at the screen.
I also packaged it as a small python library: github.com/cyrildiagne/sc…
Send a camera image + a screenshot and you get accurate x, y screen coordinates!
I also packaged it as a small python library: github.com/cyrildiagne/sc…
Send a camera image + a screenshot and you get accurate x, y screen coordinates!
✨💡 This is an ace idea from @sarah_edo! 💕
👩💻 Be on the lookout for a @TensorFlow Advent Calendar tomorrow, as well, highlighting meaningful, high-impact projects and papers from our community. If you'd like for yours to be considered, please shoot me an @-mention!
👩💻 Be on the lookout for a @TensorFlow Advent Calendar tomorrow, as well, highlighting meaningful, high-impact projects and papers from our community. If you'd like for yours to be considered, please shoot me an @-mention!
✨#TFadvent begins today! 😄
For our first project, I'd like to highlight this accessibility example from @shekitup that uses @TensorFlowJS to interpret sign language—and then translates those signs into input that can be used by a home assistant! 🗣️✨
medium.com/tensorflow/get…
For our first project, I'd like to highlight this accessibility example from @shekitup that uses @TensorFlowJS to interpret sign language—and then translates those signs into input that can be used by a home assistant! 🗣️✨
medium.com/tensorflow/get…
🎁 Day #2 of #TFadvent:
🤖 Check out this project from a recent hackathon at @ColbyCollege! The team trained a @TensorFlow model to learn muscle movements, then used that model to send signals to a prosthetic arm, controlling one finger at a time. ✨
👉: m.facebook.com/notes/daviscon…
🤖 Check out this project from a recent hackathon at @ColbyCollege! The team trained a @TensorFlow model to learn muscle movements, then used that model to send signals to a prosthetic arm, controlling one finger at a time. ✨
👉: m.facebook.com/notes/daviscon…
✨🧠 The ecosystem that has grown up around @TensorFlow in the last few years blows my mind. There's just so much functionality, compared to some of the other, newer frameworks.
👉Consider this an ever-expanding thread for me to take notes + wrap my brain around products. Ready?
👉Consider this an ever-expanding thread for me to take notes + wrap my brain around products. Ready?
1) @TensorFlow Extended (TFX)
It's no secret that I 💕 #TFX and all of its tooling for deploying machine learning models into production. If you care about keeping your models up-to-date and monitoring them, you should check out the product + its paper.
tensorflow.org/tfx/?hl=zh-cn
It's no secret that I 💕 #TFX and all of its tooling for deploying machine learning models into production. If you care about keeping your models up-to-date and monitoring them, you should check out the product + its paper.
tensorflow.org/tfx/?hl=zh-cn
2) @TensorFlow Hub
If you want to train your model on a small data set, or improve generalization, you'll need to use something called transfer learning. #TFHub modules make it easy—and are available in an #OSS marketplace: tfhub.dev.
site: tensorflow.org/hub/
If you want to train your model on a small data set, or improve generalization, you'll need to use something called transfer learning. #TFHub modules make it easy—and are available in an #OSS marketplace: tfhub.dev.
site: tensorflow.org/hub/
