Tag · 3 posts
#inference
ResNet50v2 classification in Go with a local container
To quickly go to the code, go here. Otherwise, keep reading… In a previous blog post, I wrote about classifying images with the ResNet50v2 model from the ONNX Model Zoo. In that post, the container ran on a Kubernetes cluster with GPU nodes. The nodes had an NVIDIA v100 GPU. The actual classification was done…
aiRecognizing images with Azure Machine Learning and the ONNX ResNet50v2 model
Featured image from: https://medium.com/comet-app/review-of-deep-learning-algorithms-for-object-detection-c1f3d437b852 In a previous post, I discussed the creation of a container image that uses the ResNet50v2 model for image classification. If you want to perform tasks such as localization or segmentation, there are other models that serve that purpose. The image was built with GPU support. Adding GPU support was pretty…
aiCreating a GPU container image for scoring with Azure Machine Learning
In a previous post, I discussed how you can add an existing Kubernetes cluster to an Azure Machine Learning workspace. Adding an existing cluster is necessary when the workspace does not support auto creation of a cluster. That is the case when you want to use the Standard_NC6s_v3 virtual machine image. I also used a…
ai