From 8dd67276420b96785b609821de527fc31b2f0db6 Mon Sep 17 00:00:00 2001 From: david Date: Wed, 14 Feb 2024 10:24:13 -0700 Subject: [PATCH] Omniverse add plugin link --- image-projects/nvidia-omniverse-replicator.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/image-projects/nvidia-omniverse-replicator.md b/image-projects/nvidia-omniverse-replicator.md index 8e07906..de3a77c 100644 --- a/image-projects/nvidia-omniverse-replicator.md +++ b/image-projects/nvidia-omniverse-replicator.md @@ -190,7 +190,9 @@ This resulted in the following Generated Dataset: | ------------------------------------------------------------------------- | ------------------------------------------------------------------------ | | ![](../.gitbook/assets/nvidia-omniverse-replicator/annotating\_image.png) | ![](../.gitbook/assets/nvidia-omniverse-replicator/image\_in\_queue.png) | -We uploaded the generated images to Edge Impulse Studio, where we annotated the dataset into different classes. We carefully annotated each dataset version and trained using the **Yolov5** object detection model. We tried a couple of input sizes ranging from 320, 512 and 1024 pixels before settling on **320 pixels**. Edge Impulse provided an excellent version control system for models, which enabled us to track model performance across different dataset versions and hyperparameters. +We manually uploaded the generated images to Edge Impulse Studio, where we annotated the dataset into different classes, but there is also an Omniverse plugin that can be installed to automate the upload process. Information about the plugin installation process and usage [can be found here](https://docs.edgeimpulse.com/docs/integrations/nvidia-omniverse). + +We carefully annotated each dataset version and trained using the **Yolov5** object detection model. We tried a couple of input sizes ranging from 320, 512 and 1024 pixels before settling on **320 pixels**. Edge Impulse provided an excellent version control system for models, which enabled us to track model performance across different dataset versions and hyperparameters. | Create Impulse | Generate Feature | | ----------------------------------------------------------------------- | --------------------------------------------------------------------------- |