OpenCV library

AI DevCon 2018

Fri, 11 May 2018 12:00:00 +0000

As many of you know, Intel is now one of the biggest sponsors of OpenCV, and gets really serious about AI and CV. OpenCV community, i.e. you, are invited to attend Intel AI DevCon 2018 in San Francisco on May 23-24th:

“Connect with top minds in data science, machine and deep learning, application development, and research to hear the latest perspectives and see practical implementations that break barriers between theory and real-world function. Get two full days of hands-on training on TensorFlow, MXNet, AWS DeepLens and more, see real-world demos by GE, Lenovo, NASA FDL, Ferrari Challenge and others, and hear leading-edge research from experts including Professor Yisong Yue from Caltech and Matt Zeiler, Founder and CEO of Clarifai.”

OpenCV and Intel Computer Vision SDK (https://software.intel.com/en-us/computer-vision-sdk), which includes OpenCV, will be mentioned in the keynotes and during the demos.

More details and the registration information are available at https://www.intel.com/content/www/us/en/events/ai/devcon.html.

OpenCV 3.4.1

Tue, 27 Feb 2018 11:00:00 +0000

We are glad to present the first 2018 release of OpenCV, v3.4.1, with further improved DNN module and many other improvements and bug fixes. Overall, about 250 patches have been integrated and over 200 issues have been closed since OpenCV 3.4.0. See the changelog for details.

Big thanks to everyone who contributed:

opencv

Alexander Alekhin, Dmitry Kurtaev, Li Peng, Maksim Shabunin, Fangjun Kuang, Vitaly Tuzov, luz.paz, Namgoo Lee, Tomoaki Teshima, Arjan van de Ven, Glue Crow, LaurentBerger, Sayed Adel, Suleyman TURKMEN, Alessandro de Oliveira Faria (A.K.A.CABELO), Arthur Williams, Gregory Morse, Hamdi Sahloul, Pavel Rojtberg, Rostislav Vasilikhin, Steven, Woody Chow, berak, csukuangfj, oqtvs, victor-ludorum, wxzs5, Aaron Bray, Aditya Rohan, Alexander Nesterov, Ali Sentas, Ce Zheng, Chris Hall, Coralie RACHEX, Csaba Keszegh, David Koller, Elena Gvozdeva, Eric Wang, Erik Man, Florian Echtler, GlueCrow, Harshal Nishar, Jozef Mlich, Jun Zhao, Li, Peng, Mark Harfouche, Moshe, PalkoNazar, Patrik Huber, Philipp Hasper, Ryo Suzuki, Rémi Ratajczak, SarenT, Stanislaw Halik, Sui Libin, Tom Becker, Travers, Vinay Sharma, Ya-Chiu Wu, catree, denmatfoton, elenagvo, jasjuang, mworchel, razerhell, sergeybe, take1014, tobycollins, woody.chow, yuki takehara

opencv_contrib

Pavel Rojtberg, Hamdi Sahloul, Alexander Alekhin, KUANG Fangjun, Maksim Shabunin, Vitaly Tuzov, berak, catree, Adam, Andrej Muhič, Fangjun Kuang, John Cant, Kv Manohar, Plamen Dimitrov, Suleyman TURKMEN, Yujun Shi, adrianheron, caseymcc, klchang

Download

As usual, the latest version can be cloned from github: https://github.com/opencv/opencv/tree/3.4.1 or downloaded in a form of binary package in the case of Windows, Android or iOS from SourceForge:

Windows self-extracting archive: sourceforge

iOS framework: sourceforge

Android SDK: sourceforge

Yours truly,
OpenCV dev team

OpenCV 3.4

Sat, 23 Dec 2017 11:00:00 +0000

Right before the Christmas and New Year holidays, we are glad to present the latest and the greatest OpenCV 3.4.

What's new

Further improvements in the DNN module include faster R-CNN support, Javascript bindings and acceleration of OpenCL implementation.
We've implemented a disk cache and manual loading for precompiled OpenCL kernel binaries, it can greatly reduce initialization time of many applications and allow to run OpenCL implementations on embedded platforms without JIT compiler.
One more bit-exact algorithm has been implemented. New 8-bit bilinear resize will lay stable base for complex computer vision pipelines across variety of platforms.
One more GSoC project has been integrated - it adds implementations of new background subtraction algorithms.
~250 patches have been merged since OpenCV 3.3.1 and over 200 issues have been closed

More details about the changes and new functionality in OpenCV 3.4 can be found at https://github.com/opencv/opencv/wiki/ChangeLog.

Contributors

Here is the list of contributors, based on git logs:

opencv

Alexander Alekhin, Dmitry Kurtaev, Maksim Shabunin, Li Peng, elenagvo, Vitaly Tuzov, Suleyman TURKMEN, catree, Tomoaki Teshima, Sayed Adel, LaurentBerger, Vladislav Sovrasov, Wu Zhiwen, Pavel Rojtberg, Rostislav Vasilikhin, Vadim Pisarevsky, tribta, Bhanudutta, Fakabbir Amin, Mattia Rizzolo, Ryan Fox, Shinya Ishikawa, berak, dtmoodie, Akhilesh Kumar, Alexander Nesterov, Alexander Rybnikov, Amro, Andrey Smorodov, Arthur Pastel, Cartucho, Christof Kaufmann, David Geldreich, Elena Gvozdeva, Florian Echtler, Hamdi Sahloul, Haritha, Iago Suárez, Igor Wodiany, Ivan Pozdeev, Jacob MacRitchie, James Perkins, Jcrist99, Jiri Horner, Jonathan Viney, Juha Reunanen, KUANG Fangjun, Mikhail Paulyshka, Muhammad Abdullah, Nickola, Pushkal Katara, Riyuzakii, Roman Cattaneo, Shresth Verma, Simon Guo, Wei Hao, Wu, Zhiwen, alessandro faria, gdkessler, klchang, woody.chow, wxzs5, zhijackchen, zhongwuzw

opencv_contrib

sghoshcvc, Vladislav Sovrasov, Alexander Alekhin, Vitaly Tuzov, berak, Hamdi Sahloul, Maksim Shabunin, Pavel Rojtberg, Suman Ghosh, LaurentBerger, Leonardo BrÃ¡s, Suleyman TURKMEN, Adam Gradzki, Anup Parikh, Dmitry Kurtaev, Egor Pugin, Leonardo lontra, Oleg Kalachev, Vladislav Samsonov, cDc, fiammante, klchang, kurnianggoro, kushalvyaskv, sukhad-app

Download

The latest version can be downloaded from SourceForge and GitHub:

Windows self-extracting archive: sourceforge

iOS framework: sourceforge

Android SDK: sourceforge

The source code for all platforms can be downloaded from GitHub: zip and tar.gz

Sincerely yours and with the best wishes to you for 2018,
OpenCV dev team

OpenCV 3.3

Thu, 03 Aug 2017 16:00:00 +0000

Hello everybody,

We are proud to present you the latest and greatest OpenCV 3.3 release.

Changes

The main news is that we promoted DNN module from opencv_contrib to the main repository, improved and accelerated it a lot. An external BLAS implementation is not needed anymore. For GPU there is experimental DNN acceleration using Halide (http://halide-lang.org). The detailed information about the module can be found in our wiki: Deep Learning in OpenCV.
OpenCV can now be built as C++ 11 library using the flag ENABLE_CXX11. Some cool features for C++ 11 programmers have been added.
We've also enabled quite a few AVX/AVX2 and SSE4.x optimizations in the default build of OpenCV thanks to the feature called 'dynamic dispatching'. The DNN module also has some AVX/AVX2 optimizations.
Intel Media SDK can now be utilized by our videoio module to do hardware-accelerated video encoding/decoding. MPEG1/2, as well as H.264 are supported.
Embedded into OpenCV Intel IPP subset has been upgraded from 2015.12 to 2017.2 version, resulting in ~15% speed improvement in our core & imgproc perf tests.
716 Pull Requests have been merged and 588 Issues in our bug tracker have been closed since OpenCV 3.2. Additionally, we've run OpenCV through some strict static analyser tools and fixed the detected problems. So, OpenCV 3.3 should hopefully be very stable and dependable release.

More details about the changes and new functionality in OpenCV 3.3 can be found at https://github.com/opencv/opencv/wiki/ChangeLog.

Contributors

As usual, we would like to thank everybody who contributed to the library in one or another way! Here is the list of contributors, based on git logs:

opencv

Alexander Alekhin, Vladislav Sovrasov, Tomoaki Teshima, Vitaly Tuzov, Maksim Shabunin, Fangjun KUANG, chacha21, LaurentBerger, berak, Rostislav Vasilikhin, catree, dkurt, Matthias Grundmann, Pavel Rojtberg, Pyotr Chekmaryov, Vadim Pisarevsky, Woody Chow, Aleksandr Rybnikov, atinfinity, Hamdi Sahloul, vskarlsruhe, Jiri Horner, KUANG, Fangjun, Michele Cancilla, StevenPuttemans, Dal Rupnik, Naba Kumar, Pavel Vlasov, chrizandr, saskatchewancatch, Claudio, Jaime O. Rios, Peter Würtz, PkLab.net, Suleyman TURKMEN, Wenju He, Yuriy Solovyov, abratchik, nnorwitz, oulenz, Alexander Broemmer, Artem Lukoyanov, Chaoshuai Lu, Drew Hintz, Kerry Billingham, LukeZhu, Matt Bennett, Philipp Hasper, Rink Springer, Sergiu Deitsch, Tetragramm, Tong Ke, Utkarsh Sinha, jveitchmichaelis, lewisjb, mshabunin, tribta, utibenkei, ville-v, ziggy90127, Adeel, Adeel Ahmad, Alessandro Gentilini, Alexander Duda, Amro, André Mewes, Anupam Sobti, Arek, Arkadiusz Raj, Arnaud Brejeon, BadrinathS, Bragadeesh, Brian Armstrong, Bryce Evans, Cartucho, Christof Kaufmann, David Carlier, Dinar, Dinar Ahmatnurov, Dmitry Kurtaev, Duncan Barber, Egor Pugin, Fernando Iglesias Garcia, Frank de Brabander, Gabriel B. Nunes, Guilherme William Guedes, Hans Gaiser, Ilija Puaca, Ismo Puustinen, James Clarke, Jejos, Jeremy Maitin-Shepard, Jinay Patel, Jiří Sejkora, Jon Eyolfson, Jose Gómez, Juha Reunanen, Julian Exner, Julian Tanke, Kene Udeh, Kuan-Yi Li, Kyle Fleming, Lorena García, Louie Helm, Mark Szumowski, Martin Ganeff, Neil Shipp, Neio Zhou, Nicholas Nadeau, Ninad P.Chaudhari, Paolo Perkovic, Pascal Thomet, Patrik Huber, Piotr Semenov, PkLab, Raj Natarajan, Robert Bragg, Robin Chavignat, Ryan Pavlik, Ryuhei Mori, Sadika Sumanapala, Satoshi Tanaka, Sergey, Shuyu Liang, Sixela David, Steve, Steven Puttemans, Tim King, Tony Lian, Tony Theodore, Vadzim Piatrou, Werner Palfinger, Yakun Wang, Yuval Langer, Zhiwei Su, brian-armstrong-discord, cDc, cclauss, daB0bby, gylns, hailong-wang, huangqinjin, insoow, ionut, jexner, jqly, krishraghuram, kvaghel1, likan999, logic1988, mrquorr, mschoeneck, msk-repo01, n001519, neok-m4700, orisano, puqeko, q, remi, rmensing, sovrasov, umbraclet16, vartenkov, wykvictor, wzw, xuning0, ylemkimon, zongwave

opencv_contrib

Vladislav Sovrasov, Alexander Alekhin, Aleksandr Rybnikov, Hamdi Sahloul, dkurt, Vadim Pisarevsky, berak, LaurentBerger, Maksim Shabunin, Balint Cristian, arrybn, Dmitry Kurtaev, Li Peng, Pavel Rojtberg, Pavel Vlasanek, Philipp Hasper, Suleyman TURKMEN, jexner, Kumataro, Steven Puttemans, Vladislav Samsonov, Woody Chow, atinfinity, lhelontra, mshabunin, np-csu, olivierpascal, Diego, Edgar Riba, Erik Sandrén, Erwan Normand, Haaris, Jcrist99, Jeremy Nicola, Julian Exner, Justin Hotchkiss Palermo, Kiran Pradeep, Leonardo lontra, Lorena García, Max-Wang, Natsuki Kawai, Rostislav Vasilikhin, Sergey, StevenPuttemans, Tham, Yorwba, Yuriy Obukh, abratchik, catree, goldstar616, logic1988, nyanp, oqtvs, saskatchewancatch, szk1509, utibenkei

Download

The latest version can be downloaded from SourceForge and GitHub:

Windows self-extracting archive: sourceforge

iOS framework: sourceforge

Android SDK: sourceforge

The source code for all platforms can be downloaded from GitHub: zip and tar.gz

Sincerely yours,
OpenCV dev team

Embedded Vision Summit 2017 - Making OpenCV code run fast

Fri, 31 Mar 2017 14:00:00 +0000

OpenCV is de-facto standard framework for CV developers, with 16+ year-long history, ~1M lines of code, 1000s of algorithms and tens of 1000s unit tests. While OpenCV delivers decent performance out-of-the-box for classical algorithms on desktops, it does not provide sufficient performance for modern CV algorithms, such as a suite of deep learning algorithms, as well as lack on performance on embedded platforms. We offer a short-term solution for the performance problem using T-API (transparent API) - OpenCL-based acceleration layer in OpenCV. We'll demonstrate how to use this technology using a popular CV problem - pedestrian detection. OpenCL is a standard tool to program modern parallel hardware, from CPU and GPU to specialized DSPs and even FPGA. In search of a long-term solution to performance problem we experiment with alternative approaches, such as Halide. We expect Halide to address existing OpenCL issues, namely the lack of performance-portability and complexity of use for non-experts because Halide provides higher abstraction level and convenience of use. We will demonstrate early experimental results of using Halide. Should this approach prove successful, we will include support for Halide into the next versions of OpenCV. Importantly, OpenCV now includes support for OpenVX, which we use to accelerate some image processing pipelines as well as deep nets execution.

Links:

OpenCV 3.2

Fri, 23 Dec 2016 15:19:00 +0000

Dear OpenCV users!

1 year after 3.1 release and after the OpenCV core team has moved back to Intel we are pleased to announce OpenCV 3.2 release, with tons of improvements and bug fixes. 969 patches have been merged and 478 issues (bugs & feature requests) have been closed.

Big thanks to everyone who participated! If you contributed something but your name is missing, please, let us know.

Merry Christmas and Happy New Year!

Changes

The detailed list of changes since 3.1 can be found at https://github.com/opencv/opencv/wiki/ChangeLog. Here is the short summary:

Results from 11 GSoC 2016 projects have been submitted to the library:

Ambroise Moreau (Delia Passalacqua) – sinusoidal patterns for structured light and phase unwrapping module
Alexander Bokov (Maksim Shabunin) – DIS optical flow (excellent dense optical flow algorithm that is both significantly better and significantly faster than Farneback’s algorithm – our baseline), and learning-based color constancy algorithms implementation
Tyan Vladimir (Antonella Cascitelli) – CNN based tracking algorithm (GOTURN)
Vladislav Samsonov (Ethan Rublee) – PCAFlow and Global Patch Collider algorithms implementation
João Cartucho (Vincent Rabaud) – Multi-language OpenCV Tutorials in Python, C++ and Java
Jiri Horner (Bo Li) – New camera model and parallel processing for stitching pipeline
Vitaliy Lyudvichenko (Anatoly Baksheev) – Optimizations and improvements of dnn module
Iric Wu (Vadim Pisarevsky) – Base64 and JSON support for file storage. Use names like “myfilestorage.xml?base64” when writing file storage to store big chunks of numerical data in base64-encoded form.
Edgar Riba (Manuele Tamburrano, Stefano Fabri) – tiny_dnn improvements and integration
Yida Wang (Manuele Tamburrano, Stefano Fabri) – Quantization and semantic saliency detection with tiny_dnn
Anguelos Nicolaou (Lluis Gomez) – Word-spotting CNN based algorithm

Big thanks to all the participants!

There have been many contributions besides GSoC:

Greatly improved and accelerated dnn module in opencv_contrib:

Many new layers, including deconvolution, LSTM etc.
Support for semantic segmentation and SSD networks with samples.
TensorFlow importer + sample that runs Inception net by Google.

More image formats and camera backends supported
Interactive camera calibration app
Multiple algorithms implemented in opencv_contrib
Supported latest OSes, including Ubuntu 16.04 LTS and OSX 10.12
Lot’s of optimizations for IA and ARM archs using parallelism, vector instructions and new OpenCL kernels.
OpenCV now can use vendor-provided OpenVX and LAPACK/BLAS (including Intel MKL, Apple’s Accelerate, OpenBLAS and Atlas) for acceleration

Contributors

We would like to sincerely thank everybody who helped us to prepare the release, who submitted new functionality, patches, who submitted bug reports, who mentored the students, who donated to OpenCV.org, the companies who funded development and everybody else to helped us in one or another way.

This is a list of the contributors, based on the git logs:

opencv

Alexander Alekhin, Vitaly Tuzov, Tomoaki Teshima, Maksim Shabunin, Vladislav Sovrasov, Ilya Lavrenov, Rostislav Vasilikhin, k-shinotsuka, StevenPuttemans, Pavel Rojtberg, MYLS, Marina Noskova, catree, Alexander Smorkalov, Suleyman TURKMEN, Vladislav Vinogradov, apavlenko, berak, Alexandr Kondratev, mshabunin, Dan, Pavel Vlasov, Valeriy Van, atinfinity, matze, Li Peng, abratchik, Roman Donchenko, Vadim Pisarevsky, Aleksandar Atanasov, Philipp Hasper, ArkadiuszRaj, Francisco Facioni, LaurentBerger, PkLab.net, sourin, E Sommerlade, Eric Zavesky, Ishank gulati, Matthew Self, Philip, Tetragramm, Amro, Andrey Pavlenko, Arthur Cinader, Christoph Spörk, Dikay900, Marian Zajko, alcinos, daB0bby, filipsladek, ohnozzy, Alexander Karsakov, Andreas Franek, Arek, Arkadiusz Raj, Dimitrios Katsaros, Eric Sommerlade, Gilles Rochefort, Juha Reunanen, Marek Smigielski, Mathieu Barnachon, Matthew Skolaut, Philippe FOUBERT, Sergei Nosov, Vitaliy Lyudvichenko, Your Name, a-andre, anirudt, aravind, kurenai, panxiaochun, shruthikashyap, thierry, will hunt, Прун Виктор, Addison Elliott, Alexander Shishkov, Anatoly Orlov, Asal Mirzaieva, Bleach666, Bob Paulin, Cartucho, Dan Moodie, David Wolever, Declan Moran, Dmitry Trifonov, DozyC, Elad Joseph, Elif Albuz, Eric Liao, Erich Keane, Hajo Nils Krabbenhöft, Hannes, Jan Starzynski, Joe Howse, Jose Luis Guardiola, Josh Lubawy, Lucas Solomon, Naba Kumar, Patrick Snape, Patrik Huber, Peter Rekdal Sunde, Piotr Semenov, Quentin, Randy J. Ray, Robbert Klarenbeek, Rok Mandeljc, Sean McBride, Sergiu Deitsch, Steven Puttemans, Susmit, Teng Cao, emiswelt, jiakai, lewgate, mschoeneck, shengyu, takacsd, Aaron Simmons, Adam Rankin, Alexander Fedorov, AlexeyAB, Ankit Yadav, Anton V. Shokurov, Anush Elangovan, Artyom Lebedev, Balint Cristian, Bernd Kuhls, BinMatrix, Bleach, Bram Ton, CSBVision, Christian Kapeller, Colin Finck, Dmitry Mozgin, Dmitry-Me, Dustin Spicuzza, Eduardo Arnold, Elena Gvozdeva, Elena Shipunova, Emanuel Jöbstl, Eugene Khvedchenya, Evan Heidtmann, Feng Zhoutian, Finfa811, Fraser Harris, Graham Fyffe, Gregory Kramida, Gregory Morse, Guillaume Jacob, Guy Sheffer, HMM@T430s-x64, Han Hu, Ian MacLeod, Ivar Clemens, JR Heard, Jake Kesinger, Jason von Nieda, Jcrist99, Jeff McBride, Jeroen Kromwijk, Jiri Horner, Josep Bosch, Juan Pablo Aveggio, Julien Dehos, Julien Dubiel, Julien Nabet, Kai Hugo Hustoft Endresen, Kerry Billingham, Kevin Hughes, Kevin, Hu, KeySecure, Kotrix, Krishnaraj Bhat, Leonardo BrÃ¡s, Leonid Volnitsky, Louis Letourneau, Luis Roberto Morales Iglesias, LukeZhu, Matt Leotta, Matthew Cook, Matthieu FT, Matěj Šmíd, Michael Shtutman, Morrison, Nikolay Polyarniy, Noel Eck, Oded Green, Oliver Schreer, Oskari Vinko, Patrick Spettel, Peter Entwistle, Philipp Nordhus, Philippe Renon, Pierre Dulac, Pranav Ganorkar, Prayag Verma, Péter Trombitás, Rahul Chhabra, S. Garrido, Sean Li, Sergey Alexandrov, Simmo Saan, Simon Hänisch, Sovrasov, Stephane Thiell, Steven E Wright, Tauranis, Thierry Fauck, Thomas Schenker, Tomi, Tsukasa Sugiura, Vadzim Piatrou, Vincent Rabaud, WANG Guoqin, Xiaolei Yu, Zhenqing, Hu, Zhigang Gong, ahb, arybnikov, bedbad, chacha21, danil-tolkachev, debjan, dharezlak, fegorsch, ggargov, guoxuedong, jacobdang, joao.faro, logic1988, look4pritam, monoid911, mpkh, mrquorr, mvukad, parismita, qiao, renu285, rishirajsurti, robertxwu, sarthak, solosuper, stbnps, themightyoarfish, viodetools, yigitsoy, yoffy, Özgür Can

opencv_contrib

Vitaliy Lyudvichenko, Alexander Alekhin, Anna Petrovicheva, Vladislav Samsonov, Vladislav Sovrasov, Gary Bradski, Pavel Rojtberg, berak, Balint Cristian, Maksim Shabunin, Suleyman TURKMEN, apetrovichev, lluisgomez, Alexander Bokov, Amro, StevenPuttemans, mshabunin, Jinhan Lee, Patrick Snape, Rok Mandeljc, Steve Nicholson, folz, vbystricky, LaurentBerger, Maximilien Cuony, Prof. Dr. Rudolf Haussmann, Vadim Pisarevsky, Vitaly Tuzov, Yuki Furuta, catree, sbokov, Aleksandr Rybnikov, Alexey Spizhevoy, AmbroiseMoreau, Amy Winston, Andrea Merello, Bartek Pawlik, Bleach, Bleach666, Christian Richardt, Daniel Ching, Dikay900, Eric Zavesky, Eugene Mamin, Geoff, Gregor Kovalcik, Gregory Kramida, Gunshi Gupta, Han Hu, Konstantin Volokh, Kotrix, Kumataro, Lorena García, MambaWong, Marek Smigielski, Martin Nowak, Minh Ngo, Nicu Stiurca, Pavel Vlasanek, Rostislav Vasilikhin, Sarthak Ahuja, Sunglok Choi, Thomas Schulz, VBystricky, Vasilikhin, Vladimir, Wu Jiang, Zhou Chao, abratchik, alessiodore, andrewk-mccann, aravind, baisheng lai, comdiv, damir, edgarriba, jasjuang, jhlee525, lukaszi89, lych77, samontab, sht3ch, tharunkalwa.

Special thanks goes to:

Intel corp, our alma mater and our new home. Now we’ve got more resources to work on the project and it shows!
Alexander Bokov, Pavel Rojtberg, K-Shinotsuka and Tomoaki Teshima for excellent new functionality and optimizations they brought to the library!

Download

The latest version can be downloaded from SourceForge and GitHub:

Windows self-extracting archive: sourceforge

iOS framework: sourceforge

Android SDK: sourceforge

The source code for all platforms can be downloaded from GitHub: zip and tar.gz

People's Choice Award at CVPR 2016

Mon, 27 Jun 2016 07:27:28 +0000

OpenCV will be running the People's Choice Award, sponsored by Intel, at CVPR 2016, to update and extend the OpenCV library. Vote every day for your favorite CVPR posters and papers! Your votes will be used to pick the best, most-wanted and up-to-date implementations in major areas of computer vision for the entire community. After the conference's last day, we will tally the people’s vote for the paper you’d most like to see implemented (you may vote for as many as you want). The top 5 winners will be awarded a modest monetary prize for winning, with the possibility to gain a larger prize for presenting the code as a pull request to OpenCV by December 1st 2016. The prizes are as follows:

1st winner: $500; Submit code: $6000
2nd winner: $300; Submit code: $4000
3rd winner: $100; Submit code: $2000
4th winner: $50; Submit code: $2000
5th winner: $50; Submit code: $2000

Intel acquires Itseez

Fri, 27 May 2016 06:02:47 +0000

On May 25, Intel signed a definitive agreement to acquire Itseez, Inc., an expert in Computer Vision (CV) algorithms and implementations for embedded and specialized hardware. Itseez contributes software tuning and integration in many market-leading products shipping today from cars to security systems and more. This acquisition furthers Intel’s efforts to win in IoT market segments like automotive and video, where the ability to electronically perceive and understand images paves the way for innovation and opportunity.

Itseez will become a key ingredient for Intel’s Internet of Things Group (IOTG) roadmap, and will help Intel's customers create innovative deep-learning based CV applications like autonomous driving, digital security and surveillance, and industrial inspection. Itseez is also a key contributor to computer vision standards initiatives including OpenCV and OpenVX. Together, we’ll step up our contribution to these standards bodies - defining a technology bridge that helps the industry move more quickly to OpenVX-based products.

As the Internet of Things evolves, we see three distinct phases emerging. The first is to make everyday objects smart – this is well underway with everything from smart toothbrushes to smart car seats now available. The second is to connect the unconnected, with new devices connecting to the cloud and enabling new revenue, services, and savings. New devices like cars and watches are being designed with connectivity and intelligence built into the device. The third is just emerging where devices will require constant connectivity and will need the intelligence to make real-time decisions based on their surroundings. This is the “autonomous era,” and machine learning and computer vision will become critical for all kinds of machines – cars among them.

Intel is focused on delivering end-to-end IoT solutions addressing devices, networks and the cloud. The IoT future we’re building for our customers is exciting, and the talented team at Itseez will help us get there, faster.

https://newsroom.intel.com/editorials/intel-acquires-computer-vision-for-iot-automotive/

Service outage

Wed, 11 May 2016 05:59:03 +0000

http://answers.opencv.org and http://code.opencv.org are down due to hardware failure. We will restore these services by the end of the week.

Itseez announces release of Accelerated CV library

Mon, 25 Apr 2016 10:46:42 +0000

Optimized specifically for ARM platform, ACV provides rapid acceleration of OpenCV based products with minimal impacts on existing code base.

Itseez, Inc., a leading developer of computer vision technology, has introduced Accelerated CV (ACV) library, a set of most popular computer vision functions from well known OpenCV library. Optimized specifically for ARM platform, ACV provides rapid acceleration of OpenCV based products with minimal impacts on existing code base.

ACV acts as a layer on top of OpenCV library and allows application to use both interfaces. Accelerated functions are called from ACV and non-accelerated functions are still called from OpenCV. Accelerated CV provides same API as existing OpenCV functions. Subsequently, there is no need to change code for new calling conventions or parameter types.

ACV supplies over 60 functions used in real life products and requested by customers. Essentially, set of function corresponds to actual state of computer vision algorithms.

Few most important implemented functions:

Resize, Warp Perspective, Warp Affine, Remap, Image pyramids
FAST features, Harris Corners, Good features to track, Canny edge detection
Blur, Sobel and Scharr operators, Median and Gaussian blur, Filter 2D
LBP cascade classifier, SVM classifier, Match Template, Lucas-Kanade optical flow
Morphology, math and bitwise functions

“Computer vision on ARM based SoCs is demanded but challenging due to compute resource limitations. Optimization activities require in-depth knowledge of hardware platforms and computer vision functions – something that we have developed throughout the years at Itseez”, said Yury Gorbachev, Principal Engineer, Itseez. “We are excited to provide our customers with a solution that speeds up OpenCV based products in a matter of hours with almost no code modification.”

For more information about Accelerated CV and its functions, visit: http://itseez.com/products/accelerated-cv.