AI Pipeline – AI Pipeline Image App Setup and Operation Part 1-2
In the previous chapter, you learned about the SWAGGER API, which can be used to test the neural...
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Category: AI Pipeline
AI Pipeline – Tensorflow Object Detection Training GUI – SWAGGER API testing the neural network
After the previous article explained how to train a neural network with your own training data,...
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AI Pipeline – Tensorflow Object Detection Training GUI – Usage
In the previous article you have configured and installed the Training Suite on your computer. In...
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AI Pipeline – Tensorflow Object Detection Training GUI Run
The BMW Tensorflow Object Detection Training GUI is already installed on your computer and you...
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AI Pipeline – Tensorflow-Object-Detection-Training-GUI Installation
The BMW Tensorflow Object Detection Training GUI is the heart of the No-Code AI pipeline. It is...
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AI Pipeline – Labeltool Lite Handling
This article is about how to use the Labeltool Lite. In the previous article you have prepared the...
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AI Pipeline – Labeltool Lite Preparation
After the successful installation of the Labelingtool Lite, as described in the previous article,...
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AI Pipeline – Labeltool Lite Installation
After you have updated your Ubuntu installation and installed the additional software packages, it...
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AI Pipeline – Software Installation of the No-Code AI Pipeline
After you have already worked through the introduction to the topic of which hardware do I need...
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AI Pipeline – Hardware Example Configurations
With the first part around the topic hardware now follows the second part which presents concrete...
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AI Pipeline – Hardware Basics
The knowledge and hardware requirements for using the No-Code AI pipeline are not particularly...
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AI Pipeline – The Three Components
With the three modules of the No-Code AI Pipeline, it is possible for you to directly enter the...
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- AI Box – Concept
How do we make AI explainable? Without going into the theory of artificial intelligence, it can be experienced together with the AI Box, making it easier to understand and explain. How does the AI Box do that? With your own hands and through direct experience, artificial intelligence becomes explainable. It becomes clear what it can […] - TensorFlow 2 Detection Model Zoo
This article is not ready and just a collection of some important URLs … TensorFlow 2 Detection Model Zoo - AI Pipeline – AI Pipeline Image App Setup and Operation Part 1-2
In the previous chapter, you learned about the SWAGGER API, which can be used to test the neural network. Since the operation via the SWAGGER interface is not ideal and the REST API calls are suitable for writing your own application, a colleague of mine has written the AI Pipeline Image App. The AI Pipeline […] - AI Pipeline – Tensorflow Object Detection Training GUI – SWAGGER API testing the neural network
After the previous article explained how to train a neural network with your own training data, this article is about calling the neural network, i.e. testing it. Since the AI Pipeline has API interfaces, we will use exactly this API interface for this test and let the objects be recognized on a test image, i.e. […] - AI Pipeline – Tensorflow Object Detection Training GUI – Usage
In the previous article you have configured and installed the Training Suite on your computer. In the following article, we will explain how to use the Training Suite. The goal is to train a neural network with your own images that were previously labeled in the Labeltool Lite. In case you are worried that this […]