In my previous post, " Text Analysis with IBM Cloud Code Engine" you learned how to create an IBM Cloud™ Code Engine project, select the project and deploy Code Engine entities - applications and jobs to the project
In my previous post, " Text Analysis with IBM Cloud Code Engine" you learned how to create an IBM Cloud™ Code Engine project, select the project and deploy Code Engine entities - applications and jobs to the project. You also learned how to bind IBM Cloud services (e.g., IBM Cloud Object Storage and Natural Language Understanding) to your Code Engine entities to analyze your text files uploaded to Cloud Object Storage.
In this post, you will deploy an image classification application, upload images to IBM Cloud Object Storage and then classify the uploaded images using a pre-defined MobileNet Tensorflow.js model without any training. The images are classified with labels from the ImageNet database.
On your machine, launch a terminal or command prompt and run the below commands to clone the GitHub repository and then move it to the cloned repo folder:
git clone https://github.com/VidyasagarMSC/image-classification-code-engine cd image-classification-code-engine
Before building and pushing your container images, plan your image registry:
<DOCKER_ACCOUNT_NAME>with your own Docker account name:
vidyasagarmsc/*. For example:
docker pull vidyasagarmsc/frontend.
Follow the steps in the solution tutorial and use this code sample to learn about IBM Cloud Code Engine by deploying an image classification application.
Use the container images built from this code sample. Replace
Instead of uploading a text file, upload an image (.jpeg, .png) to COS. For sample images, check the images folder in this repo.
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This article is an end-to-end example of training, testing and saving a machine learning model for image classification using the TensorFlow python package.
This is a tutorial about how we can implement IBM Cloud Storage in our Ruby on Rails 6 projects. We can upload images and manage these assets with Rails. In this tutorial we are going to build a simple app. We can upload a kitty photo and vote for that photo (this tutorial only includes the part of creating a new Rails app, configuring it to save our photo on the cloud, and showing it on an image tag; the design and the part for the photo will be included in the app but is not shown in this tutorial).
In this article, we will discuss how IBM Cloud offering can help build data Infrastructure on the cloud. With the recent acquisition of Red Hat by IBM, IBM is standardizing on Red Hat OpenShift container platform as its platform for cloud native, container based, Kubernetes Orchestration.