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Image Preprocessing for AI Inference

1 hour session (All Time Zones)
Presenter: Rahul Dubey

Doulos Member Technical Staff

Asia and Europe

Time: 10-11am (BST) 11am-12pm (CEST) 2.30-3.30pm (IST)


Time: 10-11am (PDT) 11am-12pm (MDT) 12-1pm (CDT) 1-2pm (EDT)

Preprocessing images to make them suitable for a trained AI model is an important step as it improves the accuracy of image inferencing.

This webinar will explore:

  • various image preprocessing requirements for AI inference and how they influence the accuracy of a trained model
  • some typical image preprocessing techniques, such as camera image signal processing, format conversion, mean subtraction and normalization
  • image processing libraries, such as OpenCV and the pipeline based multimedia framework "Gstreamer"
  • preprocessing requirements for different model frameworks, such as Caffe and TensorFlow, when using models from a Model Zoo.

At the end of the presentation you will also see a practical example of configuring image preprocessing for an RZ-V2L microprocessor from the RZ Family of MPUs from Renesas.

Rahul Dubey

Rahul Dubey - Doulos Member Technical Staff will be presenting this training webinar, which will consist of a one-hour session (see below for details) and be interactive with Q&A participation from attendees.

Attendance is free of charge

If you have any queries, please contact

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