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How to Deliver Real-time Object Detection on a NVIDIA Jetson Device

Original video produced by the Edge AI and Vision Alliance here.

Both connected to an NVIDIA Jetson Xavier NX, hear from Nave Assaf, Deep Learning Engineer at Deci, how our DeciDet model ran almost 3 times faster while also delivering 1% better accuracy compared to YOLOX.

Do you want to get similar results to your use case? Let’s chat!

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")