OpenCV is hosting a stream interview with Nikhil to explain how Visual SLAM maps differ from VPS maps and how to approach challenges such as short-term and long-term relocalization.
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Next week we invite Nikhil on stream to explain to developers how Visual SLAM maps differ from VPS maps, and how to approach challenges such as short-term and long-term…
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OpenCV
OpenCV is the largest computer vision library in the world.
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OpenCV is the world’s leading open-source computer vision library and one of the largest open-source computer vision frameworks, with more than 40 million monthly downloads. OpenCV provides developers, researchers, and organizations with tools for real-time image processing, computer vision, and AI-powered perception across robotics, industrial automation, healthcare, manufacturing, security, consumer devices, education, and research.
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OpenCV demoed HRFFA, a high-angle robust face alignment model running at about 8.7 fps with OpenCV's DNN and ONNX Runtime backend.
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OpenCV implemented a MIT-licensed face alignment model with results at extreme head angles.
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OpenCV implemented a 256-resolution aligner with a CNN-based aligner built on HGNetV2 and a ViT aligner.
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