![]() Two of the manufacturers carried out training sessions lasting for days with a lot of personnel. The 3DViewStation Desktop version can work on its own (as a stand-alone), or: thanks to APIs it can also integrate into any leading system.ĭesktop viewer at suppliers in manufacturing industryĪfter a thorough selection process, a manufacturer of aerospace components replaced several existing viewers with the 3DViewStation Desktop version.Īn automotive supplier for glass and elevating roofs carried out a requirements analysis and, after internet research, put three viewer manufacturers on the shortlist. We call that real Multi-CAD DMU (Digital Mockup). With our Desktop viewer you can add CAD data from various CAD systems to a model - simply via drag & drop, without preparation. But also advanced Digital Mockup, redline/markup, exploding, volume calculation, preparation for meetings, intellectual property protection, content generation for technical documentation and much more. These are navigation, selection, search & filter, measuring, dimensioning, cutting, comparison. In addition to pure viewing, many functionalities are available. The Desktop viewer will be installed on your local PC and can very quickly visualize over 60 data formats from the areas of 3D CAD, 2D CAD, images and Office. The 3DViewStation Desktop version is our most popular product. After you upload your image, you can then click on the copy image, as shown below.3DViewStation Desktop Viewer Fast, universal 3D CAD Desktop viewer for use on desktop PCs, notebooks and Windows tablets. For this, you can use the online tool Base64-Image. However, technically speaking, you can even encode/decode audio or video files too!!įirst, you need to encode your image. It’s widely used in text documents such as HTML, JavaScript, CSS, or XML scripts 2. It is one of the most popular binary-to-text encoding schemes (if not the most one). Hence, we can have all images embedded in the same notebook file.īase64 is a binary-to-text encoding algorithm to convert data (including but not limited to images) as plain text. This way, we will not be relying on any external resources for the embedded image. Unlike the previous methods, Approach 3 embeds the image as a text using the Base64 encoding algorithm. In Section 3, we rely on a URL, and any change in the original link will impact the image in the notebook. ![]() ![]() Any change in the filename or path may impact the image in the notebook. In Section 2, we used the path to a file that is saved locally. The first two approaches rely on external resources. Even if you are taken the image from your website, you should be careful not to change the image link or properties! Approach 3: Embed an image by Base64 Encode-Decode It might be difficult to retrieve the original image. So, let’s say you have an old notebook that has a broken image link. In this case, the image provider may remove the image or change the image properties without knowing it. We can add images from your local drive by providing the path to the file.įrom IPython import display display.Image( "URL of the image") Approach 1: Add an image from a local file Here, I will be using the Image class from IPython’s display module to show all images. So, we will briefly talk about the Base64 algorithm too. To contain all images used in the notebook within itself without relying on any external source, we can use the Base64 encoding algorithm to encode our images and use those encoded data to illustrate them. However, both of these methods rely on external resources. The first two approaches are pretty standard that rely on external resources to illustrate the images, and those are to use the image URL or to load an image from a local file. In this post, I will present three ways to add images to your notebook. A Jupyter Notebook can be easily converted to HTML, LaTeX, PDF, Markdown, Python, and other open standard formats 1. It’s a convenient tool to create and share documents that contain codes, equations, texts, and visualizations. The Jupyter Notebook (formerly IPython Notebooks) is a popular web-based interactive environment that was first started from the IPython project and is currently maintained by the nonprofit organization Project Jupyter. □ This article is also published on Better Programming blog.
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