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Date: Tuesday, June 14, 2022
Time: 9:00am - 10:00am PT
Duration: 1 hour
Time: 9:00am - 10:00am PT
Duration: 1 hour
This webinar presents interoperatibilty between VPI and PyTorch and showcases how easy it is to use VPI algorithms in PyTorch applications. We take as an example a Python-based application which captures an input video and uses VPI to reduce noise, improving object detection done by PyTorch. The input video frames are shared from VPI to PyTorch and back without copying data.
- How to program VPI with Python
- How to use the Temporal Noise Reduction computer vision algorithm in VPI
- How to share data between VPI and PyTorch avoiding copies
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speaker
André de Almeida Maximo
Sr. System Software Engineer, Computer VisionAndre Maximo is a system engineer at NVIDIA focused on software for embedded platforms. He previously worked for research centers at multiple industrial companies helping shape artificial intelligence across different industries. In his free time, Andre likes to run and read fictional books.
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