Optimizing Pose Estimation for Real-Time Performance

Technology > Software11/9/2023 7:00 PM

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This is an absolute must-attend for anyone serious about real-time pose estimation. Deploying pose estimation models in real-world applications often faces challenges related to computational constraints and real-time performance requirements. Additionally, varying environmental conditions and diverse human appearances can degrade the model's accuracy and robustness in practical scenarios. Join Eugene Khvedchenya, a Kaggle Grandmaster and deep learning engineer at Deci, for a live webinar that delves deep into the intricacies of pose estimation and offers unparalleled insights on how to optimize it for better accuracy and real-time performance. Join us to: • Discover common challenges in deployment of pose estimation models: Understand the limitations and ways to overcome them. • Learn the latest techniques & best practices: Stay updated with the most effective strategies in the industry. • Interactive Q&A: Have your pressing questions answered by our experts. Fill up the form to save your spot! Meet the speaker: Eugene Khvedchenia, Deep Learning Engineer, Deci.


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Deci - The Deep Learning Development Platform

Deci - The Deep Learning Development Platform

Deci is a platform that simplifies and accelerates the development of computer vision, generative AI, and NLP applications. It offers advanced tools to build, optimize, and deploy accurate and highly efficient models. With Deci, users can achieve unparalleled performance, shorten development time, and reduce cloud costs. The platform provides technology solutions for various industries, including automotive, smart retail, public sector, smart manufacturing, and video analytics.