Enviar pesquisa
Carregar
Vips 4mar09f
•
Transferir como ODP, PDF
•
0 gostou
•
81 visualizações
G
gueste0f4265f
Seguir
draft f of LGM09 talk on vips
Leia menos
Leia mais
Tecnologia
Arte e fotografia
Denunciar
Compartilhar
Denunciar
Compartilhar
1 de 19
Baixar agora
Recomendados
draft e of talk on VIPS for lgm09
Vips 4mar09e
Vips 4mar09e
guest0f52728
Sanjiv Satoor, Sr. Manager, NVIDIA talks about evolution of the modern graphics architectures with a focus on GPUs.
Evolution of the modern graphics architectures with a focus on GPUs | Turing1...
Evolution of the modern graphics architectures with a focus on GPUs | Turing1...
Persistent Systems Ltd.
Dad i want a supercomputer on my next
Dad i want a supercomputer on my next
Akash Sahoo
draft f of LGM09 talk on vips
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of the vips talk for lgm09
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of LGM09 talk on vips
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of the vips talk for lgm09
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
Recomendados
draft e of talk on VIPS for lgm09
Vips 4mar09e
Vips 4mar09e
guest0f52728
Sanjiv Satoor, Sr. Manager, NVIDIA talks about evolution of the modern graphics architectures with a focus on GPUs.
Evolution of the modern graphics architectures with a focus on GPUs | Turing1...
Evolution of the modern graphics architectures with a focus on GPUs | Turing1...
Persistent Systems Ltd.
Dad i want a supercomputer on my next
Dad i want a supercomputer on my next
Akash Sahoo
draft f of LGM09 talk on vips
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of the vips talk for lgm09
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of LGM09 talk on vips
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
draft f of the vips talk for lgm09
Vips 4mar09f
Vips 4mar09f
gueste0f4265f
Realtimeimageprocessing
Realtimeimageprocessing
Gopi Nath
IA à portée de la main !
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM France Lab
Graphical network Simulator
Gns3
Gns3
Bahaa Aladdin
ISGC2015@Taipei
AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...
Ryousei Takano
Image processing in machine vision is a challenging task because often real-time requirements have to be met in these systems. To accelerate the processing tasks in machine vision and to reduce data transfer latencies, new architectures for embedded systems in intelligent cameras are required. Furthermore, innovative processing approaches are necessary to realize these architectures efficiently. Marching Pixels are such a processing scheme, based on Organic Computing principles, and can be applied for example to determine object centroids in binary or gray-scale images. In this paper, we present a processing pipeline for smart camera systems utilizing such Marching Pixel algorithms. It consists of a buffering template for image pre-processing tasks in a FPGA to enhance captured images and an ASIC for the efficient realization of Marching Pixel approaches. The ASIC achieves a speedup of eight for the realization of Marching Pixel algorithms, compared to a common medium performance DSP platform.
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
sipij
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Romeo Kienzler
Multi Processor Architecture for image processing
Multi Processor Architecture for image processing
ideas2ignite
: In this Paper, A novel architecture for automotive vision using an embedded device will be implemented on ARM9 Board with highly computing capabilities and low processing power. Currently, achieving real-time image processing routines such as convolution, thresholding, edge detection and some of the complex media applications is a challenging task in embedded Device, because of limited memory. An open software framework, Linux OS is used in embedded devices to provide a good starting point for developing the multitasking kernel, integrated with communication protocols, data management and graphical user interface for reducing the total development time. To resolve the problems faced by the image processing applications in embedded Device a new application environment was developed. This environment provides the resources available in the operating system which runs on the hardware with complex image processing libraries. This paper presents the capture of an image from the USB camera, applied to image processing algorithms to Detect Human Upper Body. The application (GUI) Graphical User Interface was designed using Qt and ARM Linux gcc Integrated Development Environment (IDE) for implementing image processing algorithm using Open Source Computer Vision Library (OpenCV). This developed software integrated in mobiles by the cross compilation of Qt and the OpenCV software for Linux Operating system. The result utilized by Viola and Jones Algorithm with Haar Features of the image using OpenCV.
Implementation of embedded arm9 platform using qt and open cv for human upper...
Implementation of embedded arm9 platform using qt and open cv for human upper...
Krunal Patel
39245196 intro-es-iii
39245196 intro-es-iii
Embeddedbvp
Deep learning continues to push the state of the art in domains such as video analytics, computer vision, and speech recognition. Deep networks are powered by amazing levels of representational power, feature learning, and abstraction. This approach comes at the cost of a significant increase in required compute power, which makes the AWS cloud an excellent environment for training. Innovators in this space are applying deep learning to a variety of applications. One such innovator, Vilynx, a startup based in Palo Alto, realized that the current pre-roll advertising-based models for mobile video weren’t returning publishers' desired levels of engagement. In this session, we explain the algorithmic challenges of scaling across multiple nodes, and what Intel is doing on AWS to overcome them. We describe the benefits of using AWS CloudFormation to set up a distributed training environment for deep networks. We also showcase Vilynx’s contributions to video discoverability, and explain how Vilynx uses AWS tools to understand video content. This session is sponsored by Intel.
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
Amazon Web Services
In this deckfrom the 2017 DDN User Group meeting at ISC, Judit Planas, Postdoctoral Researcher at Ecole Polytechnique Federale de Lausanne (EPFL) presents I/O Challenges in Brain Tissue Simulation (IME Neuromapp). Learn more: https://insidehpc.com/2017/08/video-io-challenges-brain-tissue-simulation/ and http://ddn.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
I/O Challenges in Brain Tissue Simulation
I/O Challenges in Brain Tissue Simulation
inside-BigData.com
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Editor IJCATR
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Editor IJCATR
The expanding demand for imaging- and vision-based systems in mobile, IoT and automotive products is making the need for multi camera and sensor fusion systems look for novel ways to gather and process multiple data streams while still fitting into the mobile interface. The CSI-2 protocol allows camera sensor and processed image data to be combined into a single data stream using interleaving, allowing the application processor to extract the image data using the virtual channel or data type information. In this presentation, Richard Sproul of Cadence Design Systems will highlight some of the key details and requirements for a system with image processing of multi camera/sensor systems.
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI Alliance
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows: 1) image capture 2) image transfer 3) image processing 4) sensor calibration A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
Christopher Diamantopoulos
DIGITAL SIGNAL PROCESSOR MANUFACTURING COMPANIES AND PRODUCT
Assignmentdsp
Assignmentdsp
Amit Kumar
The current paper is mainly about maintaining a secure environment and also free from thefts that are happening in our home. The present paper discusses about the detection of intruders with the help of the various devices and software.. OpenCV(open source computer vision) is the major software that is being used in our present work. For detecting faces we are using various algorithms like Haar cascade, linear SVM, deep neural network etc. The main method that we have proposed in our work is, if any person comes in front of the pi camera, first it will look for potential matches that we have already stored in our system If the module finds a match then it continues to record until any intruder comes. If the face is not recognized then the unknown person’s face will be captured and a snap shot will be sent to the user’s email. The device is developed using Raspberry Pi b+ with 1.4 GHz quad core processor, raspberry pi camera module and a Wireless dongle to communicate with user’s email. OpenCV, Rassberry pi, python
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IJTRET-International Journal of Trendy Research in Engineering and Technology
Jan Jongboom - Run your JS app for years on a coin cell. Presentation given during JSConf.asia 2016 in Singapore about mbed, JerryScript, IoT, Johnny Five and JavaScript.
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Jan Jongboom
Comprehensive study of parallel, cluster, distributed, grid and cloud computing paradigms
Distributed Computing
Distributed Computing
Sudarsun Santhiappan
Linea de scaners y unidades de captura de imagenes, lider mundial de fabricación alemana, image access, wide format scanners http://www.PrintLAT.com http://www.imageaccess.com
Image Access by PrintLAT
Image Access by PrintLAT
PrintLAT
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
apidays
Mais conteúdo relacionado
Semelhante a Vips 4mar09f
Realtimeimageprocessing
Realtimeimageprocessing
Gopi Nath
IA à portée de la main !
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM France Lab
Graphical network Simulator
Gns3
Gns3
Bahaa Aladdin
ISGC2015@Taipei
AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...
Ryousei Takano
Image processing in machine vision is a challenging task because often real-time requirements have to be met in these systems. To accelerate the processing tasks in machine vision and to reduce data transfer latencies, new architectures for embedded systems in intelligent cameras are required. Furthermore, innovative processing approaches are necessary to realize these architectures efficiently. Marching Pixels are such a processing scheme, based on Organic Computing principles, and can be applied for example to determine object centroids in binary or gray-scale images. In this paper, we present a processing pipeline for smart camera systems utilizing such Marching Pixel algorithms. It consists of a buffering template for image pre-processing tasks in a FPGA to enhance captured images and an ASIC for the efficient realization of Marching Pixel approaches. The ASIC achieves a speedup of eight for the realization of Marching Pixel algorithms, compared to a common medium performance DSP platform.
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
sipij
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Romeo Kienzler
Multi Processor Architecture for image processing
Multi Processor Architecture for image processing
ideas2ignite
: In this Paper, A novel architecture for automotive vision using an embedded device will be implemented on ARM9 Board with highly computing capabilities and low processing power. Currently, achieving real-time image processing routines such as convolution, thresholding, edge detection and some of the complex media applications is a challenging task in embedded Device, because of limited memory. An open software framework, Linux OS is used in embedded devices to provide a good starting point for developing the multitasking kernel, integrated with communication protocols, data management and graphical user interface for reducing the total development time. To resolve the problems faced by the image processing applications in embedded Device a new application environment was developed. This environment provides the resources available in the operating system which runs on the hardware with complex image processing libraries. This paper presents the capture of an image from the USB camera, applied to image processing algorithms to Detect Human Upper Body. The application (GUI) Graphical User Interface was designed using Qt and ARM Linux gcc Integrated Development Environment (IDE) for implementing image processing algorithm using Open Source Computer Vision Library (OpenCV). This developed software integrated in mobiles by the cross compilation of Qt and the OpenCV software for Linux Operating system. The result utilized by Viola and Jones Algorithm with Haar Features of the image using OpenCV.
Implementation of embedded arm9 platform using qt and open cv for human upper...
Implementation of embedded arm9 platform using qt and open cv for human upper...
Krunal Patel
39245196 intro-es-iii
39245196 intro-es-iii
Embeddedbvp
Deep learning continues to push the state of the art in domains such as video analytics, computer vision, and speech recognition. Deep networks are powered by amazing levels of representational power, feature learning, and abstraction. This approach comes at the cost of a significant increase in required compute power, which makes the AWS cloud an excellent environment for training. Innovators in this space are applying deep learning to a variety of applications. One such innovator, Vilynx, a startup based in Palo Alto, realized that the current pre-roll advertising-based models for mobile video weren’t returning publishers' desired levels of engagement. In this session, we explain the algorithmic challenges of scaling across multiple nodes, and what Intel is doing on AWS to overcome them. We describe the benefits of using AWS CloudFormation to set up a distributed training environment for deep networks. We also showcase Vilynx’s contributions to video discoverability, and explain how Vilynx uses AWS tools to understand video content. This session is sponsored by Intel.
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
Amazon Web Services
In this deckfrom the 2017 DDN User Group meeting at ISC, Judit Planas, Postdoctoral Researcher at Ecole Polytechnique Federale de Lausanne (EPFL) presents I/O Challenges in Brain Tissue Simulation (IME Neuromapp). Learn more: https://insidehpc.com/2017/08/video-io-challenges-brain-tissue-simulation/ and http://ddn.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
I/O Challenges in Brain Tissue Simulation
I/O Challenges in Brain Tissue Simulation
inside-BigData.com
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Editor IJCATR
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most of the ALPR systems are built using proprietary tools like Matlab. This paper presents an alternative method of implementing ALPR systems using Free Software including Python and the Open Computer Vision Library.
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Editor IJCATR
The expanding demand for imaging- and vision-based systems in mobile, IoT and automotive products is making the need for multi camera and sensor fusion systems look for novel ways to gather and process multiple data streams while still fitting into the mobile interface. The CSI-2 protocol allows camera sensor and processed image data to be combined into a single data stream using interleaving, allowing the application processor to extract the image data using the virtual channel or data type information. In this presentation, Richard Sproul of Cadence Design Systems will highlight some of the key details and requirements for a system with image processing of multi camera/sensor systems.
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI Alliance
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows: 1) image capture 2) image transfer 3) image processing 4) sensor calibration A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
Christopher Diamantopoulos
DIGITAL SIGNAL PROCESSOR MANUFACTURING COMPANIES AND PRODUCT
Assignmentdsp
Assignmentdsp
Amit Kumar
The current paper is mainly about maintaining a secure environment and also free from thefts that are happening in our home. The present paper discusses about the detection of intruders with the help of the various devices and software.. OpenCV(open source computer vision) is the major software that is being used in our present work. For detecting faces we are using various algorithms like Haar cascade, linear SVM, deep neural network etc. The main method that we have proposed in our work is, if any person comes in front of the pi camera, first it will look for potential matches that we have already stored in our system If the module finds a match then it continues to record until any intruder comes. If the face is not recognized then the unknown person’s face will be captured and a snap shot will be sent to the user’s email. The device is developed using Raspberry Pi b+ with 1.4 GHz quad core processor, raspberry pi camera module and a Wireless dongle to communicate with user’s email. OpenCV, Rassberry pi, python
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IJTRET-International Journal of Trendy Research in Engineering and Technology
Jan Jongboom - Run your JS app for years on a coin cell. Presentation given during JSConf.asia 2016 in Singapore about mbed, JerryScript, IoT, Johnny Five and JavaScript.
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Jan Jongboom
Comprehensive study of parallel, cluster, distributed, grid and cloud computing paradigms
Distributed Computing
Distributed Computing
Sudarsun Santhiappan
Linea de scaners y unidades de captura de imagenes, lider mundial de fabricación alemana, image access, wide format scanners http://www.PrintLAT.com http://www.imageaccess.com
Image Access by PrintLAT
Image Access by PrintLAT
PrintLAT
Semelhante a Vips 4mar09f
(20)
Realtimeimageprocessing
Realtimeimageprocessing
IBM Cloud Paris Meetup - 20190520 - IA & Power
IBM Cloud Paris Meetup - 20190520 - IA & Power
Gns3
Gns3
AIST Super Green Cloud: lessons learned from the operation and the performanc...
AIST Super Green Cloud: lessons learned from the operation and the performanc...
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
A Smart Camera Processing Pipeline for Image Applications Utilizing Marching ...
Real-time DeepLearning on IoT Sensor Data
Real-time DeepLearning on IoT Sensor Data
Multi Processor Architecture for image processing
Multi Processor Architecture for image processing
Implementation of embedded arm9 platform using qt and open cv for human upper...
Implementation of embedded arm9 platform using qt and open cv for human upper...
39245196 intro-es-iii
39245196 intro-es-iii
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
AWS re:Invent 2016: Deep Learning at Cloud Scale: Improving Video Discoverabi...
I/O Challenges in Brain Tissue Simulation
I/O Challenges in Brain Tissue Simulation
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
Automatic License Plate Recognition using OpenCV
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
MIPI DevCon 2016: MIPI CSI-2 Application for Vision and Sensor Fusion Systems
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...
Assignmentdsp
Assignmentdsp
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
IMAGE PROCESSING BASED INTRUDER DETECTION USING RASPBERRY PI
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Run your JavaScript app for years on a coin cell - JSConf.asia 2016
Distributed Computing
Distributed Computing
Image Access by PrintLAT
Image Access by PrintLAT
Último
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
apidays
Explore how multimodal embeddings work with Milvus. We will see how you can explore a popular multimodal model - CLIP - on a popular dataset - CIFAR 10. You use CLIP to create the embeddings of the input data, Milvus to store the embeddings of the multimodal data (sometimes termed “multimodal embeddings”), and we will then explore the embeddings.
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
Zilliz
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2
In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Architecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Rustici Software
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
ICT role in education and it's challenges. In which we learn about ICT, it's impact, benefits and challenges.
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Orbitshub
Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Angeliki Cooney
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
Último
(20)
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Architecting Cloud Native Applications
Architecting Cloud Native Applications
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Vips 4mar09f
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
GUI
15.
16.
GUI
17.
18.
19.
Baixar agora
![VIPS: An Image Processing Library for Large, and Not So Large, Images ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Presented by Nicolas Robidoux LGM Montreal, 2009 http://www.vips.ecs.soton.ac.uk](https://image.slidesharecdn.com/vips-4mar09f-090414084913-phpapp02/85/Vips-4mar09f-1-320.jpg)
![Introduction ,[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)