Introduction Deep learning tools are extensively used in vision applications across most industries, ranging from facial recognition on mobile devices to Tesla’s self-driving cars. However, using the right tools is paramount when working on these applications, as it requires in-depth knowledge and specialization. After reading this article, you’ll understand what deep learning tools are, why […]
How to use OpenCV with OpenVINO
Guest post by Aleksandr Voron To keep OpenVINO™ Toolkit focused on optimizing and deploying inference, we no longer include OpenCV and DL Streamer in our distribution packages. But not to worry! Both OpenCV and DL Streamer continue to work with OpenVINO and in this blog post we will explain how. In the 2022.1 release of OpenVINO™, OpenCV became an optional […]
OpenCV Face Detection: Cascade Classifier vs. YuNet
Written by CHEN Zhangjie (Junior, Department of Computer Science and Engineering) Face Detection is a computer vision task in which a computer program detects the presence of human faces and also finds their locations in an image or a video stream. The technology has been rapidly advancing and maturing with various models being developed. The […]
Computer Vision Annotation Tool Product Tour
Awhile ago we told you how the Computer Vision Annotation Tool (CVAT) has been spun out on its own, thanks in large part to our friends at Intel for years of supporting the project. In this video, we show how to use the relaunched CVAT.ai online tool – how to sign up, upload your data, […]
Mobile AI Frameworks from Modelplace
Recently we’ve told you a lot about Modelplace, the AI model marketplace, and even shown some of its features on our webinar series. Today we’re excited to share the next big offering from this important community resource: Drop-in AI frameworks for iOS with fully functional sample apps. With these products, downloadable from get.modelplace.ai, you’ll be […]
Modelplace 2.0, powered by OpenCV, is here
Since the launch last year, the AI model marketplace at Modelplace.AI has been improving by leaps and bounds. The number of models continues to grow along with performance boosts and new features such as model comparison benchmarks. Today we’re excited to tell you about the biggest change yet: Modelplace 2.0. We’ve rethought the entire presentation […]
Computer Vision Annotation Tool (CVAT) has a New Home
Fast and accurate data annotation is crucial for the success of any AI project. For the last five years, Intel has developed one of the world’s most popular open-source annotation tools, the Computer Vision Annotation Tool (CVAT), and hosted the tool on CVAT.org. Intel engineers have worked diligently to bring many features to the tool […]
7 Key Considerations to Develop a Scalable Annotation Pipeline
Whether for medical imaging, autonomous driving, agriculture automation, or robotics, scaling a computer vision (CV) project is tough and takes tons of micromanaging, tracking, and analysis for the best results. The data is usually annotated in batches because of the volume and multiplicity of iterations needed along the way. The batches undergo several revisions for […]
Evaluating OpenCV’s new RANSACs
Spoiler: They’re much better now! OpenCV RANSAC is dead. Long live the OpenCV USAC! Last year a group of researchers including myself from UBC, Google, CTU in Prague and EPFL published a paper “Image Matching across Wide Baselines: From Paper to Practice“, which, among other messages, has shown that OpenCV RANSAC for fundamental matrix estimation […]
OpenVINO model optimization
Are you looking for a fast way to run neural network inferences on Intel platforms? Then OpenVINO toolkit is exactly what you need. It provides a large number of optimizations that allow blazingly fast inference on CPUs, VPUs, integrated graphics, and FPGAs. In the previous post, we’ve learned how to prepare and run DNN models […]
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