• 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
  • OpenCV Face Detection with Raspberry Pi - Robotics with Python p.7

    Next, we're going to touch on using OpenCV with the Raspberry Pi's camera, giving our robot the gift of sight. There are many steps involved to this process, so there's a lot that is about to be thrown your way. If at any point you're stuck/lost/whatever, feel free to ask questions on the video and I will try to help where possible. There are a lot of moving parts here. If all else fails, I have hosted my Raspberry Pi image: https://drive.google.com/file/d/0B11p78NlrG-vZzdJLWYxcU5iMXM/view?usp=sharing OpenCV stands for Open Computer Vision, and it is an open source computer vision and machine learning library. To start, you will need to get OpenCV on to your Raspberry Pi. http://mitchtech.net/raspberry-pi-opencv/ Keep in mind, the "make" part of this tutorial will take 9-10 hours on a ...

    published: 01 Sep 2015
  • 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
  • Linus Torvalds: Open Source Means Spreading Vision As Well

    published: 10 Nov 2011
  • 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
  • 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
  • Reach IoT interoperability with standard and open source APIs, by Andre Bottaro

    A new world of services emerges from the data and the services delivered by the growing variety of things – devices, sensors, actuators – potentially available. The Internet of Things offers an industrial vision of this new world of services. Many labs in the world are working on an infrastructure that could host any service and connect any device. Such an infrastructure would unleash the creativity of IoT application developers and IoT device makers. This objective raises two main challenges: A first challenge is to represent the wide variety of devices in the infrastructure with common models that are known by application developers. A second challenge lies in the security and privacy that the user requires to control the combination of data and functions accessible by every application...

    published: 11 Jul 2017
  • Introduction to the Intel® Aero Compute Board and Vision Accessory Kit for UAVs

    The Intel® Aero Compute Board and the Aero Vision Accessory Kit are purpose-built for integration with any unmanned aerial vehicle (UAV). These key ingredients of the Intel® Aero Platform for UAVs are geared for developers, researchers, and UAV enthusiasts to help get applications airborne quickly*. While only the size of a standard playing card, the Compute Board features abundant storage capabilities, 802.11ac Wi-Fi, support for multiple cameras including the Intel® RealSense™ camera (R200), which is part of the optional Vision Accessory Kit, industry standard interfaces, and reconfigurable I/O to facilitate connecting to a broad variety of drone hardware subsystems. The Compute Board ships with open-source embedded Linux operating system and is offered with sample applications and API...

    published: 30 Nov 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
  • New Invention - OpenBCI An Open Source Brain Computer Interface For Makers

    OpenBCI is a versatile and affordable Arduino-compatible, 8-channel EEG platform that gives you access to high-quality, raw EEG data. Support this Project on Kickstarter: http://www.kickstarter.com/projects/openbci/openbci-an-open-source-brain-computer-interface-fo OpenBCI is a low-cost, programmable, open-source EEG platform that gives anybody with a computer access to their brainwaves. Our vision is to realize the potential of the open-source movement to accelerate innovation in brain science through collaborative hardware and software development. Behind the many lines of code and circuit diagrams, OpenBCI has a growing community of scientists, engineers, designers, makers, and a whole bunch of other people who are interested in furthering our understanding of the brain. We feel that ...

    published: 22 Dec 2013
  • Free software, free society: Richard Stallman at TEDxGeneva 2014

    It is the first TEDx talk of the founder of Free Software movement. Stallman, RMS for short, has changed the world with his vision of freedom for the digital age. He launched the GNU operating system, used with Linux as a component, and inspired the development of Creative Commons licences and Wikipedia project. In this talk, Stallman describes how nonfree programs give companies control of their users and what users can do in order to recover control over their computing. Licence: Creative Commons BY-SA-ND 3.0 CREDITS : Drawings under CC-BY-ND 3.0 created by Christian Nogareda (Kwis, Http://kwis.tumblr.com) & Valentin Pasquier (http://utopiqdream.deviantart.com) based on ideas of Richard Stallman, by himself & Ynternet.org foundation. In the spirit of ideas worth spreading, TEDx is a...

    published: 13 Jun 2014
  • License Plate Recognition with OpenCV 3 : OCR License Plate Recognition

    In this tutorial I show how to use the Tesseract - Optical Character Recognition (OCR) in conjunction with the OpenCV library to detect text on a license plate recognition application. Tesseract is an optical character recognition engine for various operating systems. It is free software, released under the Apache License, Version 2.0, and development has been sponsored by Google since 2006. Tesseract is considered one of the most accurate open source OCR engines currently available. The Tesseract engine was originally developed as proprietary software at Hewlett Packard labs in Bristol, England and Greeley, Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some migration from C to C++ in 1998. A lot of the code was written in C, and then some m...

    published: 18 Feb 2015
  • 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
  • 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
  • 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
  • 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
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: 84
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
OpenCV Face Detection with Raspberry Pi - Robotics with Python p.7

OpenCV Face Detection with Raspberry Pi - Robotics with Python p.7

  • Order:
  • Duration: 22:09
  • Updated: 01 Sep 2015
  • views: 143012
videos
Next, we're going to touch on using OpenCV with the Raspberry Pi's camera, giving our robot the gift of sight. There are many steps involved to this process, so there's a lot that is about to be thrown your way. If at any point you're stuck/lost/whatever, feel free to ask questions on the video and I will try to help where possible. There are a lot of moving parts here. If all else fails, I have hosted my Raspberry Pi image: https://drive.google.com/file/d/0B11p78NlrG-vZzdJLWYxcU5iMXM/view?usp=sharing OpenCV stands for Open Computer Vision, and it is an open source computer vision and machine learning library. To start, you will need to get OpenCV on to your Raspberry Pi. http://mitchtech.net/raspberry-pi-opencv/ Keep in mind, the "make" part of this tutorial will take 9-10 hours on a Raspberry Pi Model B+. The Raspberry Pi 2 will do it in more like 2-4 hours. Either way, it will take a while. I just did it overnight one night. Text-based version and sample code: http://pythonprogramming.net/raspberry-pi-camera-opencv-face-detection-tutorial/ http://pythonprogramming.net https://twitter.com/sentdex
https://wn.com/Opencv_Face_Detection_With_Raspberry_Pi_Robotics_With_Python_P.7
iOS 11 ARKit + Vision Framework = ARPaint

iOS 11 ARKit + Vision Framework = ARPaint

  • Order:
  • Duration: 1:01
  • Updated: 10 Aug 2017
  • views: 136
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
Linus Torvalds: Open Source Means Spreading Vision As Well

Linus Torvalds: Open Source Means Spreading Vision As Well

  • Order:
  • Duration: 3:45
  • Updated: 10 Nov 2011
  • views: 4195
videos
https://wn.com/Linus_Torvalds_Open_Source_Means_Spreading_Vision_As_Well
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: 12259
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
Compute Library: optimizing computer vision and machine learning on ARM

Compute Library: optimizing computer vision and machine learning on ARM

  • Order:
  • Duration: 49:12
  • Updated: 24 May 2017
  • views: 887
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
Reach IoT interoperability with standard and open source APIs, by Andre Bottaro

Reach IoT interoperability with standard and open source APIs, by Andre Bottaro

  • Order:
  • Duration: 31:39
  • Updated: 11 Jul 2017
  • views: 35
videos
A new world of services emerges from the data and the services delivered by the growing variety of things – devices, sensors, actuators – potentially available. The Internet of Things offers an industrial vision of this new world of services. Many labs in the world are working on an infrastructure that could host any service and connect any device. Such an infrastructure would unleash the creativity of IoT application developers and IoT device makers. This objective raises two main challenges: A first challenge is to represent the wide variety of devices in the infrastructure with common models that are known by application developers. A second challenge lies in the security and privacy that the user requires to control the combination of data and functions accessible by every application and user. The presentation will provide a vision of an open end-to-end architecture providing standard APIs on a cloud platform and a home gateway to host any application and connect any device. Among the standard organizations and industrial alliances, oneM2M standard specifications are being adopted as a reference architecture by the IoT industry. The implementation of oneM2M standard features in eclipse OM2M will be detailed, especially the use of an abstraction layer using oneM2M Smart Device Template and the end-to-end access right management discriminating both applications and users when accessing devices. This infrastructure is currently prototyped thanks to the integration of open source software bricks provided by eclipse OM2M (http://www.eclipse.org/om2m/) open initiative.
https://wn.com/Reach_Iot_Interoperability_With_Standard_And_Open_Source_Apis,_By_Andre_Bottaro
Introduction to the Intel® Aero Compute Board and Vision Accessory Kit for UAVs

Introduction to the Intel® Aero Compute Board and Vision Accessory Kit for UAVs

  • Order:
  • Duration: 3:20
  • Updated: 30 Nov 2016
  • views: 8817
videos
The Intel® Aero Compute Board and the Aero Vision Accessory Kit are purpose-built for integration with any unmanned aerial vehicle (UAV). These key ingredients of the Intel® Aero Platform for UAVs are geared for developers, researchers, and UAV enthusiasts to help get applications airborne quickly*. While only the size of a standard playing card, the Compute Board features abundant storage capabilities, 802.11ac Wi-Fi, support for multiple cameras including the Intel® RealSense™ camera (R200), which is part of the optional Vision Accessory Kit, industry standard interfaces, and reconfigurable I/O to facilitate connecting to a broad variety of drone hardware subsystems. The Compute Board ships with open-source embedded Linux operating system and is offered with sample applications and APIs for flight and vision interfaces, reducing hurdles for developers of sophisticated drone applications. Learn more about the Intel® Aero Compute Board: http://intel.ly/2fAkLTJ Learn more about the Intel® Aero Ready to Fly Drone http://intel.ly/2fAouRb Subscribe to the Intel Software YouTube Channel: http://bit.ly/22yjKtG
https://wn.com/Introduction_To_The_Intel®_Aero_Compute_Board_And_Vision_Accessory_Kit_For_Uavs
[c¼h] OpenCV - Open Source Computer Vision

[c¼h] OpenCV - Open Source Computer Vision

  • Order:
  • Duration: 30:29
  • Updated: 18 May 2016
  • views: 120
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
New Invention - OpenBCI An Open Source Brain Computer Interface For Makers

New Invention - OpenBCI An Open Source Brain Computer Interface For Makers

  • Order:
  • Duration: 5:33
  • Updated: 22 Dec 2013
  • views: 17119
videos
OpenBCI is a versatile and affordable Arduino-compatible, 8-channel EEG platform that gives you access to high-quality, raw EEG data. Support this Project on Kickstarter: http://www.kickstarter.com/projects/openbci/openbci-an-open-source-brain-computer-interface-fo OpenBCI is a low-cost, programmable, open-source EEG platform that gives anybody with a computer access to their brainwaves. Our vision is to realize the potential of the open-source movement to accelerate innovation in brain science through collaborative hardware and software development. Behind the many lines of code and circuit diagrams, OpenBCI has a growing community of scientists, engineers, designers, makers, and a whole bunch of other people who are interested in furthering our understanding of the brain. We feel that the biggest challenges in understanding what makes us who we are cannot be solved by a company, an institution, or even an entire field of science. Rather, we believe these discoveries will be made through an open forum of shared knowledge and concerted effort by people from many different disciplines. By donating to this Kickstarter you will be supporting our efforts to make the existing OpenBCI hardware ready for mass production and available to the general public. In addition, you will be joining the OpenBCI community where people of all ages, locations, and backgrounds can contribute to unlocking the mysteries of the human brain. Brain-computer interfacing (BCI) is a relatively new field of science with a seemingly limitless range of applications. Medical grade BCIs are often used in assisting people with damage to their cognitive or sensory-motor functions, however, more and more we are seeing affordable BCIs emerge in neurotherapy applications that assist people with ADHD, anxiety, phobia, depression, and other common psychological ailments. Both neurofeedback and biofeedback are starting to be used more frequently by artists, musicians, dancers, and other creative individuals who want to find new ways of connecting people with the world around them, making more immersive experiences. There's great potential for research in psychology and behavior studies with portable EEG devices that can record brain activity in real-world environments. As the tools for interfacing the brain become more widely available, we will see BCIs come out of medical facilities and labs and become a bigger part of our everyday lives. We envision BCIs revolutionizing everything from neural gaming and augmented reality to meditation and concentration aids. We hope to see OpenBCI lead to toys and tools we haven't even thought of yet! Over the past summer we developed working prototypes of the OpenBCI board and verified its functionality and signal quality. We currently have a fully-functional Arduino Shield design, which links the electrical signals of your brain to the limitless power of computation. Now we want to take it to the next level. With your help, we will be able to add wireless bluetooth connectivity to the OpenBCI board to enhance its safety and make it more portable and wearable. We also want to integrate a reprogrammable microcontroller onto the board, as well as a SD card slot for local data storage capability. All of these pieces are tested and in place, we just need your help to leverage manufacturing at scale to make OpenBCI affordable and accessible to everyone. Lastly, like any open-source initiative, the OpenBCI board is only as powerful as the people that use it. We are asking you to join us in revolutionizing the way our minds interface with the world around us by joining the OpenBCI community and letting your voice and mind be heard. OpenBCI is a versatile and affordable Arduino-compatible, 8-channel EEG platform that gives you access to high-quality, raw EEG data. Support this Project on Kickstarter: http://www.kickstarter.com/projects/openbci/openbci-an-open-source-brain-computer-interface-fo
https://wn.com/New_Invention_Openbci_An_Open_Source_Brain_Computer_Interface_For_Makers
Free software, free society: Richard Stallman at TEDxGeneva 2014

Free software, free society: Richard Stallman at TEDxGeneva 2014

  • Order:
  • Duration: 13:40
  • Updated: 13 Jun 2014
  • views: 142718
videos
It is the first TEDx talk of the founder of Free Software movement. Stallman, RMS for short, has changed the world with his vision of freedom for the digital age. He launched the GNU operating system, used with Linux as a component, and inspired the development of Creative Commons licences and Wikipedia project. In this talk, Stallman describes how nonfree programs give companies control of their users and what users can do in order to recover control over their computing. Licence: Creative Commons BY-SA-ND 3.0 CREDITS : Drawings under CC-BY-ND 3.0 created by Christian Nogareda (Kwis, Http://kwis.tumblr.com) & Valentin Pasquier (http://utopiqdream.deviantart.com) based on ideas of Richard Stallman, by himself & Ynternet.org foundation. 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/Free_Software,_Free_Society_Richard_Stallman_At_Tedxgeneva_2014
License Plate Recognition with OpenCV 3 : OCR License Plate Recognition

License Plate Recognition with OpenCV 3 : OCR License Plate Recognition

  • Order:
  • Duration: 6:52
  • Updated: 18 Feb 2015
  • views: 101704
videos
In this tutorial I show how to use the Tesseract - Optical Character Recognition (OCR) in conjunction with the OpenCV library to detect text on a license plate recognition application. Tesseract is an optical character recognition engine for various operating systems. It is free software, released under the Apache License, Version 2.0, and development has been sponsored by Google since 2006. Tesseract is considered one of the most accurate open source OCR engines currently available. The Tesseract engine was originally developed as proprietary software at Hewlett Packard labs in Bristol, England and Greeley, Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some migration from C to C++ in 1998. A lot of the code was written in C, and then some more was written in C++. Since then all the code has been converted to at least compile with a C++ compiler. Very little work was done in the following decade. It was then released as open source in 2005 by Hewlett Packard and the University of Nevada, Las Vegas (UNLV). Tesseract development has been sponsored by Google since 2006. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people in their user community and an estimated number of downloads exceeding 7 million. The library is used extensively in companies, research groups and by governmental bodies. email: fpiscani@stemapks.com twitter: https://twitter.com/Cesco345 git: https://github.com/cesco345
https://wn.com/License_Plate_Recognition_With_Opencv_3_Ocr_License_Plate_Recognition
Basic Face Detection and Face Recognition Using OpenCV

Basic Face Detection and Face Recognition Using OpenCV

  • Order:
  • Duration: 2:39
  • Updated: 12 Feb 2011
  • views: 203213
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
Hello World - Machine Learning Recipes #1

Hello World - Machine Learning Recipes #1

  • Order:
  • Duration: 6:53
  • Updated: 30 Mar 2016
  • views: 761977
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
The KITTI Vision Benchmark Suite

The KITTI Vision Benchmark Suite

  • Order:
  • Duration: 4:56
  • Updated: 14 Mar 2012
  • views: 17187
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
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: 2580
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
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