- This is a pure Tensorflow implementation of Deep Photo Styletransfer, the torch implementation could be found here
This implementation support L-BFGS-B (which is what the original authors used) and Adam in case the ScipyOptimizerInterface incompatible when Tensorflow upgrades to higher version.
- is to generate segmented intermediate result like torch file neuralstyle_seg.
- uses this intermediate result to generate final result like torch file deepmatting_seg.
- Run to see a list of all options
This repository doesn’t offer image segmentation script and simply use the segmentation image from the torch version.
- Here are more results from tensorflow algorithm (from left to right are input, style, torch results and tensorflow results)
If you find this code useful for your research, please cite:
Feel free to contact me if there is any question (Yang Liu firstname.lastname@example.org).
deep-photo-styletransfer-tf – Tensorflow (Python API) implementation of Deep Photo Style Transfer
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- Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images.
- Google is trying to offer the best of simplicity and performance — the models being released today have performed well in benchmarking and have become regularly used in research.
- The handful of models included in the detection API include heavy duty inception-based convolutional neural networks and streamlined models designed to operate on less sophisticated machines — a MobileNets single shot detector comes optimized to run in real-time on a smartphone.
- Earlier this week Google announced its MobileNets family of lightweight computer vision models.
- Google, Facebook and Apple have been pouring resources into these mobile models.
Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying..
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- Sharing our vision of the future, including advances in research and innovation.
- Our goal is to make our innovations accessible to as many people as possible.
- When technology starts with people and serves people, it makes progress.
- We also want to promote innovative and responsible uses of digital technologies – prudent innovation – that improve everyday life for everyone.
- Innovation and periods of rapid change have always raised questions.
Continue reading “Innovation endorsed by Orange: welcome to tomorrow’s world”
- & &
Decades ago, if you were writing about robots, it was probably in one of two forms: either a science fiction narrative, or something short about the handful of robots that could be purchased for home or recreational use.
- Home devices can recognize and respond to speech, prosthetic technology has been dramatically advanced, and our very understanding of what constitutes a robot has significantly changed.
- With these advances in technology have come other questions, some pertaining to the nature of intelligence, some relating to the lines between humanity and machines, and still more that use our research into robotics to explore what makes us human.
- So, with that in mind, here’s a look at a handful of the best books on artificial intelligence, dealing with questions of robots, body modification, the Singularity, and more.
- Crank up Flight of the Conchords’s song set after a robot uprising and dig in.
Thinking Machines: 7 of the Best Books on Artificial Intelligence
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- Facebook’s new automatic alternative text uses artificial intelligence to recognize objects and people in photos.
- On most Facebook images, the only text available for screen readers is the status posted along with the photos.
- By applying artificial intelligence algorithms, Facebook is able to scan each image and pull out some information about what it depicts.
- It can recognize objects from its library of 100 with from 80 percent confidence to 99 percent confidence.
- The machine helps the users, and the users help the machine
Facebook is using artificial intelligence to power accessibility features for the blind or visually impaired, by automatically generating captions for any photo on Facebook.
Continue reading “How Artificial Intelligence Will Translate Facebook Photos For The Blind”
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- Read the Kindle edition on any Kindle device or with a free Kindle Reading App .
- You can also see more Kindle MatchBook titles or look up all of your Kindle MatchBook titles .
- Gifting of the Kindle edition at the Kindle MatchBook price is not available.
- Amazon Best Sellers Rank: #468,850 Paid in Kindle Store ( See Top 100 Paid in Kindle Store )
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- 1:17 PM Snapchat releases a new web tool for making custom geofilters
- 8:00 AM Lytro releases the first footage shot by its VR camera
- 3:17 PM EU could hit Apple with multi-billion-euro tax avoidance bill
- 5:57 AM Lightning strike kills 323 reindeer in Norway
- 3:10 PM PewDiePie is starring in a new game about being a YouTube star
Google DeepMind is launching a project to reduce the time it takes doctors to prepare treatment for head and neck cancers. Alphabet’s London-based artificial intelligence division has partnered… Continue reading “Google DeepMind wants to use machine learning to help treat certain cancers”