• Open Source TensorFlow Models (Google I/O '17)

    Come to this talk for a tour of the latest open source TensorFlow models for Image Classification, Natural Language Processing, and Computer Generated Artwork. Along the way, Josh Gordon will share thoughts on Deep Learning, open source research, and educational resources you can use to learn more. See all the talks from Google I/O '17 here: https://goo.gl/D0D4VE Subscribe to the Google Developers channel: http://goo.gl/mQyv5L Follow Josh on Twitter: https://twitter.com/random_forests #io17 #GoogleIO #GoogleIO2017

    published: 18 May 2017
  • REAL VISION - Technology and Real Estate, Richard Gerritsen, Yardi Systems

    PropertyEU as part of the REAL VISION series, speaks to Richard Gerritsen of Yardi Systems about the growing influence of technology, data and information on the real estate sector, residential, retail markets, asset management and investment. Interviewed by Richard Betts, Publisher of PropertyEU, November 2016 Copyright: PropertyTV, PropertyEU

    published: 02 Dec 2016
  • Why Tokens Are The Biggest Opportunity In The Cryptocurrency Space | Dan Morehead Interview

    Watch the interview in full (and more) on Real Vision. Start your 7-day free trial: http://rvtv.io/2uxgNRE Dan Morehead from Pantera Capital was one of the first major investors in Bitcoin and the early cryptocurrency technology. With the advent of tokenization, Dan assesses the impact that the next wave of decentralized applications will have on the world’s most valuable data monopolies and where the winners will emerge, as the Blockchain disintermediates venture capital in a post-capitalist era. In this clip Dan Morehead explains why tokens are the biggest opportunity in the cryptocurrency space.

    published: 26 Jul 2017
  • Machine Learning with TensorFlow (GDD Europe '17)

    TensorFlow is the most popular open-source machine learning framework in the world. In this video, Andrew Gasparovic gives you an introduction to TensorFlow and goes through new things that have been developed. He also covers some use-cases demonstrating how TensorFlow is used by Google as well as out in the real-world. Check out the ‘All Sessions’ playlist for the rest of the talks that were given at GDD Europe ’17: https://goo.gl/6BFfHv Subscribe to the Google Developers channel: http://goo.gl/mQyv5L

    published: 06 Sep 2017
  • 6 Open Source Test Automation Frameworks You Need to Know

    http://www.joecolantonio.com/2016/05/10/6-open-source-test-automation-frameworks-need-know/ Before you fall into the “build your own framework” trap, be sure to check out these six open-source automation solutions. Serenity RobotFramework ReadwoodHQ Sahi Galen Framework Gauge

    published: 21 Jun 2016
  • Deep Learning Frameworks Compared

    In this video, I compare 5 of the most popular deep learning frameworks (SciKit Learn, TensorFlow, Theano, Keras, and Caffe). We go through the pros and cons of each, as well as some code samples, eventually coming to a definitive conclusion. The code for the TensorFlow vs Theano part of the video is here: https://github.com/llSourcell/tensorflow_vs_theano An article that explains the differences in more detail: https://medium.com/@sentimentron/faceoff-theano-vs-tensorflow-e25648c31800#.bg4xmz1au I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Learn more about TF Learn here: https://github.com/tflearn/tflearn and here: https://www.tensorflow.org/versions/r0.9/tutorials/tflearn/index.html Learn more about TensorFlow here: https://www.oreilly.com/learning...

    published: 01 Oct 2016
  • Open-source automated precision farming | Rory Aronson | TEDxUCLA

    Rory Aronson talks about an innovative idea that can change the entire farming industry. He is a mechanical engineer and social entrepreneur working to help solve big social and environmental challenges. Currently he is focused on FarmBot, humanity's open-source automated precision farming machine, and OpenFarm, a free and open database for farming and gardening knowledge. TEDxUCLA was organized by UCLA Extension Visual Arts http://visual.uclaextension.edu In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independe...

    published: 03 Jul 2014
  • Machine Learning APIs by Example (Google I/O '17)

    Find out how you can make use of Google's machine learning expertise to power your applications. Google Cloud Platform (GCP) offers five APIs that provide access to pre-trained machine learning models with a single API call: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. Using these APIs, you can focus on adding new features to your app rather than building and training your own custom models. In this session we'll share an overview of each API and dive into code with some live demos. See all the talks from Google I/O '17 here: https://goo.gl/D0D4VE Watch more Android talks at I/O '17 here: https://goo.gl/c0LWYl Watch more Chrome talks at I/O '17 here: https://goo.gl/Q1bFGY Watch more Firebase talks at I/O '17 here: https:...

    published: 19 May 2017
  • iOS 11 ARKit + Vision Framework = ARPaint

    This is how real future of AR combined with Computer Vision may looks like. Amazing project by OSAMA ABDELKARIM ABOULHASSAN with open source code and detailed tutorial: - https://www.toptal.com/swift/ios-arkit-tutorial-drawing-in-air-with-fingers - https://github.com/oabdelkarim/ARPaint

    published: 10 Aug 2017
  • Loitor vision sensing Inertia Camera open-source project

    http://www.lodetc.com presents Loitor Inertia camera project, an Intel Realsense competitor where the price can be less than $72 for the whole module. Loitor is a 3d camera system opensource that can be packaged to run with an allwinner A83 processor, the motherboard also has a Cypress CY68013 and an STMicroelectronics STM-32 system on board. The camera can recognize 3D space for indoor and outdoor mapping. Project developers can contact Loitor here: kang791208@aliyun.com skype: kang791208@gmail.com Mobile: +86 13582312223

    published: 08 Apr 2017
  • Khang Hoang: Vision - Improve Your Workflow - JSConf.Asia 2016

    Remember the times when you needed to hardcode an API response because the actual APIs are still to be implemented? Making it impossible to simulate edge cases with the real APIs or the network? The wait is over! Khang has created just the tool for those situations. Khang works as React Native developer at Employment Hero by day. He is a JavaScript hacker & open source contributor by night. He organizes the React Native facebook community group for Vietnam. JSConf.Asia - Capitol Theatre, Singapore - 25+26 November 2016. Source: https://2016.jsconf.asia/ License: For reuse of this video under a more permissive license please get in touch with us. The speakers retain the copyright for their performances.

    published: 19 Dec 2016
  • Machine Learning: Google's Vision - Google I/O 2016

    Google has deployed practical A.I. throughout its products for the last decade -- from Translate, to the Google app, to Photos, to Inbox. The teams continue to make fundamental breakthroughs in machine learning, publishing promising new results at an accelerating pace. Now TensorFlow and Cloud Machine Learning make it even easier for researchers and developers around the world to collaborate. So as we work together to drive machine learning forward, what are the most exciting possibilities? What are the top challenges? And what's on the horizon? Join Google's machine learning leads in a discussion with veteran technology editor Tom Simonite as we explore the promise of machine learning. See all the talks from Google I/O 2016 here: https://goo.gl/olw6kV Watch more Android talks at I/O 2016...

    published: 20 May 2016
  • SP1 Real-Time Stereo Vision System

    The SP1 stereo vision system (and also its successor SceneScan) is Nerian Vision Technologies' solution for real-time depth sensing. This stand-alone device connects to two USB industrial cameras, which are set-up in a common stereo alignment. The SP1 processes the images of both cameras in real-time, using a hardware implementation of a state-of-the-art stereo matching algorithm. The computed depth map is transmitted through gigabit ethernet to an attached computer or an embedded system. Stereo vision is a passive approach to depth perception, which allows its use in situations where active 3D sensors fail. This is usually the case in situations with bright ambient light such as outdoors at sunshine. The SP1 provides the user with dense 3D sensory information even in such difficult condi...

    published: 28 Oct 2015
  • Intel's Mostafa Hagog Discusses Open-Standard Vision Processing Libraries and APIs (Preview)

    For the full version of this video, along with hundreds of others on various embedded vision topics, please visit http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2015-embedded-vision-summit-intel Mostafa Hagog, Architect at Intel, presents the "Developing High-Performance, Energy-Efficient Vision Solutions Using Open-Standard Libraries and APIs" tutorial at the May 2015 Embedded Vision Summit. Connected cameras, hand-held devices, embedded systems, and cloud services enable a world of intelligence everywhere. But to realize the potential of computer vision technology, developers face tough challenges. On the one hand, complex products must be brought to market quickly. On the other hand, computer vision applications deman...

    published: 09 Jul 2015
  • Hello World - Machine Learning Recipes #1

    Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up. Follow https://twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers: http://goo.gl/mQyv5L - Subscribe to the brand new Firebase Channel: https://goo.gl/9giPHG And here's our playlist: https://goo.gl/KewA03

    published: 30 Mar 2016
  • How computers learn to recognize objects instantly | Joseph Redmon

    Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How? Joseph Redmon works on the YOLO (You Only Look Once) system, an open-source method of object detection that can identify objects in images and video -- from zebras to stop signs -- with lightning-quick speed. In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics and even cancer detection. Check out more TED talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or ...

    published: 18 Aug 2017
  • The KITTI Vision Benchmark Suite

    This benchmark suite was designed to provide challenging realistic datasets to the computer vision community. Our benchmarks currently evaluate stereo, optical flow, visual odometry, 3D object detection and tracking. If you want to contribute results of your method(s), have a look at our evaluation webserver at: http://www.cvlibs.net/datasets/kitti

    published: 14 Mar 2012
  • Beth Noveck: Demand a more open-source government

    What can governments learn from the open-data revolution? In this stirring talk, Beth Noveck, the former deputy CTO at the White House, shares a vision of practical openness -- connecting bureaucracies to citizens, sharing data, creating a truly participatory democracy. Imagine the "writable society" ... TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: ...

    published: 27 Sep 2012
  • Compute Library: optimizing computer vision and machine learning on ARM

    Mobile compute platforms provide an exciting vehicle for the deployment of new computer vision and deep learning applications. This webinar elaborates on real industry use-cases where the adoption of optimized low-level primitives for ARM processors has enabled improved performance and optimal use of heterogeneous system resources.

    published: 24 May 2017
  • Open Source Technology Improvement Fund - 100 & Change Pitch

    This is OSTIF's pitch video for the 100 & Change competition by the MacArthur Foundation. In this short video, we talk about the world issue that we wish to solve and our strategy for a lasting real solution. You can learn more about our organization, and how to donate or contribute to the project at https://ostif.org

    published: 01 Oct 2016
  • [c¼h] OpenCV - Open Source Computer Vision

    In einem kurzen Vortrag stelle ich die OpenCV Library vor und erläutere, warum sie nicht nur für Bildverarbeitung und maschinelles Sehen, sondern auch im Bereich des wissenschaftlichen Rechnens nützlich sein kann. https://www.noname-ev.de/chaotische_viertelstunde.html?latest=269#c14h_252

    published: 18 May 2016
  • Object Detection and Recogition

    http://www.willowgarage.com/blog/2010/09/20/scalable-object-recognition

    published: 31 Aug 2010
  • Lets Make a Night Vision Camera Effect

    A night vision image effect for unity 3d inspired by the Outlast games. The code for this effect is open source and available on my GitHub page here: https://github.com/WorldOfZero/UnityVisualizations This video includes assets from the Extreme Sewer Kit asset on the Unity asset store. If you want to add it to your project then here is the link: https://www.assetstore.unity3d.com/en/#!/content/21882

    published: 04 May 2017
  • Basic Face Detection and Face Recognition Using OpenCV

    Detect faces and their eyes, nose and mouth in a web cam feed. Then calculate the rotation of each face. Next you can also capture the faces and store them in a format suitable for recognition. I then demonstrate working face recognition. This is done using OpenCV, the code is open-source and you can get it at: https://code.google.com/p/visual-control/ If you use it I would be happy to receive a notification of that. If you modify it, you are very welcome to commit your changes! Look at my website for a basic post of the framework: http://toefel.nl/projects/computer-vision-framework/ If you have trouble compiling OpenCV with visual studio 2010, look at: http://www.youtube.com/watch?v=XeBhwbRoKvk For information about compiling Boost with visual studio 2010, look at: http...

    published: 12 Feb 2011
developed with YouTube
Open Source TensorFlow Models (Google I/O '17)

Open Source TensorFlow Models (Google I/O '17)

  • Order:
  • Duration: 33:37
  • Updated: 18 May 2017
  • views: 39430
videos
Come to this talk for a tour of the latest open source TensorFlow models for Image Classification, Natural Language Processing, and Computer Generated Artwork. Along the way, Josh Gordon will share thoughts on Deep Learning, open source research, and educational resources you can use to learn more. See all the talks from Google I/O '17 here: https://goo.gl/D0D4VE Subscribe to the Google Developers channel: http://goo.gl/mQyv5L Follow Josh on Twitter: https://twitter.com/random_forests #io17 #GoogleIO #GoogleIO2017
https://wn.com/Open_Source_Tensorflow_Models_(Google_I_O_'17)
REAL VISION - Technology and Real Estate, Richard Gerritsen, Yardi Systems

REAL VISION - Technology and Real Estate, Richard Gerritsen, Yardi Systems

  • Order:
  • Duration: 7:09
  • Updated: 02 Dec 2016
  • views: 94
videos
PropertyEU as part of the REAL VISION series, speaks to Richard Gerritsen of Yardi Systems about the growing influence of technology, data and information on the real estate sector, residential, retail markets, asset management and investment. Interviewed by Richard Betts, Publisher of PropertyEU, November 2016 Copyright: PropertyTV, PropertyEU
https://wn.com/Real_Vision_Technology_And_Real_Estate,_Richard_Gerritsen,_Yardi_Systems
Why Tokens Are The Biggest Opportunity In The Cryptocurrency Space | Dan Morehead Interview

Why Tokens Are The Biggest Opportunity In The Cryptocurrency Space | Dan Morehead Interview

  • Order:
  • Duration: 4:06
  • Updated: 26 Jul 2017
  • views: 1042
videos
Watch the interview in full (and more) on Real Vision. Start your 7-day free trial: http://rvtv.io/2uxgNRE Dan Morehead from Pantera Capital was one of the first major investors in Bitcoin and the early cryptocurrency technology. With the advent of tokenization, Dan assesses the impact that the next wave of decentralized applications will have on the world’s most valuable data monopolies and where the winners will emerge, as the Blockchain disintermediates venture capital in a post-capitalist era. In this clip Dan Morehead explains why tokens are the biggest opportunity in the cryptocurrency space.
https://wn.com/Why_Tokens_Are_The_Biggest_Opportunity_In_The_Cryptocurrency_Space_|_Dan_Morehead_Interview
Machine Learning with TensorFlow (GDD Europe '17)

Machine Learning with TensorFlow (GDD Europe '17)

  • Order:
  • Duration: 32:35
  • Updated: 06 Sep 2017
  • views: 25833
videos
TensorFlow is the most popular open-source machine learning framework in the world. In this video, Andrew Gasparovic gives you an introduction to TensorFlow and goes through new things that have been developed. He also covers some use-cases demonstrating how TensorFlow is used by Google as well as out in the real-world. Check out the ‘All Sessions’ playlist for the rest of the talks that were given at GDD Europe ’17: https://goo.gl/6BFfHv Subscribe to the Google Developers channel: http://goo.gl/mQyv5L
https://wn.com/Machine_Learning_With_Tensorflow_(Gdd_Europe_'17)
6 Open Source Test Automation Frameworks You Need to Know

6 Open Source Test Automation Frameworks You Need to Know

  • Order:
  • Duration: 5:53
  • Updated: 21 Jun 2016
  • views: 16328
videos
http://www.joecolantonio.com/2016/05/10/6-open-source-test-automation-frameworks-need-know/ Before you fall into the “build your own framework” trap, be sure to check out these six open-source automation solutions. Serenity RobotFramework ReadwoodHQ Sahi Galen Framework Gauge
https://wn.com/6_Open_Source_Test_Automation_Frameworks_You_Need_To_Know
Deep Learning Frameworks Compared

Deep Learning Frameworks Compared

  • Order:
  • Duration: 5:45
  • Updated: 01 Oct 2016
  • views: 88410
videos
In this video, I compare 5 of the most popular deep learning frameworks (SciKit Learn, TensorFlow, Theano, Keras, and Caffe). We go through the pros and cons of each, as well as some code samples, eventually coming to a definitive conclusion. The code for the TensorFlow vs Theano part of the video is here: https://github.com/llSourcell/tensorflow_vs_theano An article that explains the differences in more detail: https://medium.com/@sentimentron/faceoff-theano-vs-tensorflow-e25648c31800#.bg4xmz1au I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Learn more about TF Learn here: https://github.com/tflearn/tflearn and here: https://www.tensorflow.org/versions/r0.9/tutorials/tflearn/index.html Learn more about TensorFlow here: https://www.oreilly.com/learning/hello-tensorflow More on Keras here: http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/ More on SciKit Learn here: http://scikit-learn.org/stable/tutorial/ More on Caffe here: http://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html More on Theano here: https://github.com/Newmu/Theano-Tutorials Thanks for watching guys, I do this for you. If you like my videos, feel free to support me on Patreon and please LIKE, SUBSCRIBE, COMMENT, AND SHARE! https://www.patreon.com/user?u=3191693
https://wn.com/Deep_Learning_Frameworks_Compared
Open-source automated precision farming | Rory Aronson | TEDxUCLA

Open-source automated precision farming | Rory Aronson | TEDxUCLA

  • Order:
  • Duration: 9:22
  • Updated: 03 Jul 2014
  • views: 29229
videos
Rory Aronson talks about an innovative idea that can change the entire farming industry. He is a mechanical engineer and social entrepreneur working to help solve big social and environmental challenges. Currently he is focused on FarmBot, humanity's open-source automated precision farming machine, and OpenFarm, a free and open database for farming and gardening knowledge. TEDxUCLA was organized by UCLA Extension Visual Arts http://visual.uclaextension.edu In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
https://wn.com/Open_Source_Automated_Precision_Farming_|_Rory_Aronson_|_Tedxucla
Machine Learning APIs by Example (Google I/O '17)

Machine Learning APIs by Example (Google I/O '17)

  • Order:
  • Duration: 37:06
  • Updated: 19 May 2017
  • views: 125164
videos
Find out how you can make use of Google's machine learning expertise to power your applications. Google Cloud Platform (GCP) offers five APIs that provide access to pre-trained machine learning models with a single API call: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. Using these APIs, you can focus on adding new features to your app rather than building and training your own custom models. In this session we'll share an overview of each API and dive into code with some live demos. See all the talks from Google I/O '17 here: https://goo.gl/D0D4VE Watch more Android talks at I/O '17 here: https://goo.gl/c0LWYl Watch more Chrome talks at I/O '17 here: https://goo.gl/Q1bFGY Watch more Firebase talks at I/O '17 here: https://goo.gl/pmO4Dr Subscribe to the Google Developers channel: http://goo.gl/mQyv5L #io17 #GoogleIO #GoogleIO2017
https://wn.com/Machine_Learning_Apis_By_Example_(Google_I_O_'17)
iOS 11 ARKit + Vision Framework = ARPaint

iOS 11 ARKit + Vision Framework = ARPaint

  • Order:
  • Duration: 1:01
  • Updated: 10 Aug 2017
  • views: 708
videos
This is how real future of AR combined with Computer Vision may looks like. Amazing project by OSAMA ABDELKARIM ABOULHASSAN with open source code and detailed tutorial: - https://www.toptal.com/swift/ios-arkit-tutorial-drawing-in-air-with-fingers - https://github.com/oabdelkarim/ARPaint
https://wn.com/Ios_11_Arkit_Vision_Framework_Arpaint
Loitor vision sensing Inertia Camera open-source project

Loitor vision sensing Inertia Camera open-source project

  • Order:
  • Duration: 4:19
  • Updated: 08 Apr 2017
  • views: 875
videos
http://www.lodetc.com presents Loitor Inertia camera project, an Intel Realsense competitor where the price can be less than $72 for the whole module. Loitor is a 3d camera system opensource that can be packaged to run with an allwinner A83 processor, the motherboard also has a Cypress CY68013 and an STMicroelectronics STM-32 system on board. The camera can recognize 3D space for indoor and outdoor mapping. Project developers can contact Loitor here: kang791208@aliyun.com skype: kang791208@gmail.com Mobile: +86 13582312223
https://wn.com/Loitor_Vision_Sensing_Inertia_Camera_Open_Source_Project
Khang Hoang: Vision - Improve Your Workflow - JSConf.Asia 2016

Khang Hoang: Vision - Improve Your Workflow - JSConf.Asia 2016

  • Order:
  • Duration: 20:53
  • Updated: 19 Dec 2016
  • views: 2630
videos
Remember the times when you needed to hardcode an API response because the actual APIs are still to be implemented? Making it impossible to simulate edge cases with the real APIs or the network? The wait is over! Khang has created just the tool for those situations. Khang works as React Native developer at Employment Hero by day. He is a JavaScript hacker & open source contributor by night. He organizes the React Native facebook community group for Vietnam. JSConf.Asia - Capitol Theatre, Singapore - 25+26 November 2016. Source: https://2016.jsconf.asia/ License: For reuse of this video under a more permissive license please get in touch with us. The speakers retain the copyright for their performances.
https://wn.com/Khang_Hoang_Vision_Improve_Your_Workflow_Jsconf.Asia_2016
Machine Learning: Google's Vision - Google I/O 2016

Machine Learning: Google's Vision - Google I/O 2016

  • Order:
  • Duration: 44:45
  • Updated: 20 May 2016
  • views: 141561
videos
Google has deployed practical A.I. throughout its products for the last decade -- from Translate, to the Google app, to Photos, to Inbox. The teams continue to make fundamental breakthroughs in machine learning, publishing promising new results at an accelerating pace. Now TensorFlow and Cloud Machine Learning make it even easier for researchers and developers around the world to collaborate. So as we work together to drive machine learning forward, what are the most exciting possibilities? What are the top challenges? And what's on the horizon? Join Google's machine learning leads in a discussion with veteran technology editor Tom Simonite as we explore the promise of machine learning. See all the talks from Google I/O 2016 here: https://goo.gl/olw6kV Watch more Android talks at I/O 2016 here: https://goo.gl/Uv3jls Watch more Chrome talks at I/O 2016 here: https://goo.gl/JoMLpB Watch more Firebase talks at I/O 2016 here: https://goo.gl/JTH9Fr Subscribe to the Google Developers Channel: http://goo.gl/mQyv5L #io16 #GoogleIO #GoogleIO2016
https://wn.com/Machine_Learning_Google's_Vision_Google_I_O_2016
SP1 Real-Time Stereo Vision System

SP1 Real-Time Stereo Vision System

  • Order:
  • Duration: 2:26
  • Updated: 28 Oct 2015
  • views: 11945
videos
The SP1 stereo vision system (and also its successor SceneScan) is Nerian Vision Technologies' solution for real-time depth sensing. This stand-alone device connects to two USB industrial cameras, which are set-up in a common stereo alignment. The SP1 processes the images of both cameras in real-time, using a hardware implementation of a state-of-the-art stereo matching algorithm. The computed depth map is transmitted through gigabit ethernet to an attached computer or an embedded system. Stereo vision is a passive approach to depth perception, which allows its use in situations where active 3D sensors fail. This is usually the case in situations with bright ambient light such as outdoors at sunshine. The SP1 provides the user with dense 3D sensory information even in such difficult conditions. For industries where changing and difficult lighting conditions are common, such as in the logistics sectors, the SP1 provides a viable solution for acquiring 3D sensory information. Another key advantage of the SP1 is its versatility. Other 3D sensor systems are designed for observing one pre-defined volume. For industrial plants that process products of very different sizes, or for customers which need to cover an unusual measurement range, available 3D sensors might not be sufficient. The SP1 allows the user to control the covered volume through the choice of camera distance and optics. The user also has a choice over the image sensor, which he can pick according his requirements. The camera setup can be adjusted at any point if the application requirements change. This makes camera calibration critical. Many existing stereo cameras are shipped pre-calibrated and do not allow for a re-calibration by the user. The SP1, on the other hand, provides an easy user interface that facilitates a re-calibration within minutes. Hence, depth measuring can be resumed shortly after the camera setup has been adjusted. Find out more at: https://nerian.com/products/scenescan-stereo-vision/
https://wn.com/Sp1_Real_Time_Stereo_Vision_System
Intel's Mostafa Hagog Discusses Open-Standard Vision Processing Libraries and APIs (Preview)

Intel's Mostafa Hagog Discusses Open-Standard Vision Processing Libraries and APIs (Preview)

  • Order:
  • Duration: 3:57
  • Updated: 09 Jul 2015
  • views: 269
videos
For the full version of this video, along with hundreds of others on various embedded vision topics, please visit http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2015-embedded-vision-summit-intel Mostafa Hagog, Architect at Intel, presents the "Developing High-Performance, Energy-Efficient Vision Solutions Using Open-Standard Libraries and APIs" tutorial at the May 2015 Embedded Vision Summit. Connected cameras, hand-held devices, embedded systems, and cloud services enable a world of intelligence everywhere. But to realize the potential of computer vision technology, developers face tough challenges. On the one hand, complex products must be brought to market quickly. On the other hand, computer vision applications demand both high performance and extreme energy-efficiency. Open standard libraries and APIs like OpenCL, OpenVX, and OpenCV offer the promise of faster and easier development. But can these libraries and APIs also enable high-performance, energy-efficient implementations? In this presentation, Mostafa highlights which aspects of vision software development tend to be similar across different types of platforms (e.g., mobile vs. cloud) and which tend to be different—and why. Using real-world examples, he explores how open standard libraries and APIs can be used to speed application development while minimizing loss of performance and energy efficiency—or in some cases, even improving them.
https://wn.com/Intel's_Mostafa_Hagog_Discusses_Open_Standard_Vision_Processing_Libraries_And_Apis_(Preview)
Hello World - Machine Learning Recipes #1

Hello World - Machine Learning Recipes #1

  • Order:
  • Duration: 6:53
  • Updated: 30 Mar 2016
  • views: 910157
videos
Six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up. Follow https://twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers: http://goo.gl/mQyv5L - Subscribe to the brand new Firebase Channel: https://goo.gl/9giPHG And here's our playlist: https://goo.gl/KewA03
https://wn.com/Hello_World_Machine_Learning_Recipes_1
How computers learn to recognize objects instantly | Joseph Redmon

How computers learn to recognize objects instantly | Joseph Redmon

  • Order:
  • Duration: 7:38
  • Updated: 18 Aug 2017
  • views: 127954
videos
Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How? Joseph Redmon works on the YOLO (You Only Look Once) system, an open-source method of object detection that can identify objects in images and video -- from zebras to stop signs -- with lightning-quick speed. In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics and even cancer detection. Check out more TED talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED
https://wn.com/How_Computers_Learn_To_Recognize_Objects_Instantly_|_Joseph_Redmon
The KITTI Vision Benchmark Suite

The KITTI Vision Benchmark Suite

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  • Duration: 4:56
  • Updated: 14 Mar 2012
  • views: 18993
videos
This benchmark suite was designed to provide challenging realistic datasets to the computer vision community. Our benchmarks currently evaluate stereo, optical flow, visual odometry, 3D object detection and tracking. If you want to contribute results of your method(s), have a look at our evaluation webserver at: http://www.cvlibs.net/datasets/kitti
https://wn.com/The_Kitti_Vision_Benchmark_Suite
Beth Noveck: Demand a more open-source government

Beth Noveck: Demand a more open-source government

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  • Duration: 17:24
  • Updated: 27 Sep 2012
  • views: 19380
videos
What can governments learn from the open-data revolution? In this stirring talk, Beth Noveck, the former deputy CTO at the White House, shares a vision of practical openness -- connecting bureaucracies to citizens, sharing data, creating a truly participatory democracy. Imagine the "writable society" ... TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
https://wn.com/Beth_Noveck_Demand_A_More_Open_Source_Government
Compute Library: optimizing computer vision and machine learning on ARM

Compute Library: optimizing computer vision and machine learning on ARM

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  • Duration: 49:12
  • Updated: 24 May 2017
  • views: 1610
videos
Mobile compute platforms provide an exciting vehicle for the deployment of new computer vision and deep learning applications. This webinar elaborates on real industry use-cases where the adoption of optimized low-level primitives for ARM processors has enabled improved performance and optimal use of heterogeneous system resources.
https://wn.com/Compute_Library_Optimizing_Computer_Vision_And_Machine_Learning_On_Arm
Open Source Technology Improvement Fund - 100 & Change Pitch

Open Source Technology Improvement Fund - 100 & Change Pitch

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  • Duration: 1:31
  • Updated: 01 Oct 2016
  • views: 138
videos
This is OSTIF's pitch video for the 100 & Change competition by the MacArthur Foundation. In this short video, we talk about the world issue that we wish to solve and our strategy for a lasting real solution. You can learn more about our organization, and how to donate or contribute to the project at https://ostif.org
https://wn.com/Open_Source_Technology_Improvement_Fund_100_Change_Pitch
[c¼h] OpenCV - Open Source Computer Vision

[c¼h] OpenCV - Open Source Computer Vision

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  • Duration: 30:29
  • Updated: 18 May 2016
  • views: 147
videos
In einem kurzen Vortrag stelle ich die OpenCV Library vor und erläutere, warum sie nicht nur für Bildverarbeitung und maschinelles Sehen, sondern auch im Bereich des wissenschaftlichen Rechnens nützlich sein kann. https://www.noname-ev.de/chaotische_viertelstunde.html?latest=269#c14h_252
https://wn.com/C¼H_Opencv_Open_Source_Computer_Vision
Object Detection and Recogition

Object Detection and Recogition

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  • Duration: 1:30
  • Updated: 31 Aug 2010
  • views: 166405
videos
http://www.willowgarage.com/blog/2010/09/20/scalable-object-recognition
https://wn.com/Object_Detection_And_Recogition
Lets Make a Night Vision Camera Effect

Lets Make a Night Vision Camera Effect

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  • Duration: 29:11
  • Updated: 04 May 2017
  • views: 541
videos
A night vision image effect for unity 3d inspired by the Outlast games. The code for this effect is open source and available on my GitHub page here: https://github.com/WorldOfZero/UnityVisualizations This video includes assets from the Extreme Sewer Kit asset on the Unity asset store. If you want to add it to your project then here is the link: https://www.assetstore.unity3d.com/en/#!/content/21882
https://wn.com/Lets_Make_A_Night_Vision_Camera_Effect
Basic Face Detection and Face Recognition Using OpenCV

Basic Face Detection and Face Recognition Using OpenCV

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  • Duration: 2:39
  • Updated: 12 Feb 2011
  • views: 210702
videos
Detect faces and their eyes, nose and mouth in a web cam feed. Then calculate the rotation of each face. Next you can also capture the faces and store them in a format suitable for recognition. I then demonstrate working face recognition. This is done using OpenCV, the code is open-source and you can get it at: https://code.google.com/p/visual-control/ If you use it I would be happy to receive a notification of that. If you modify it, you are very welcome to commit your changes! Look at my website for a basic post of the framework: http://toefel.nl/projects/computer-vision-framework/ If you have trouble compiling OpenCV with visual studio 2010, look at: http://www.youtube.com/watch?v=XeBhwbRoKvk For information about compiling Boost with visual studio 2010, look at: http://www.youtube.com/watch?v=5AmwIwedTCM I found the information and explanations about face detection, face tracking and face recognition from Robin Hewitt very useful: http://www.cognotics.com/opencv/servo_2007_series/index.html
https://wn.com/Basic_Face_Detection_And_Face_Recognition_Using_Opencv
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