July 15, 2022

FREE Webinar Hosted by Renesas

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

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

This webinar will explore:

• Various image preprocessing requirements for AI inference and how they influence the accuracy of a trained model Toolchain
• 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