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Real-time smart video analytics application development and edge device deployment is a tricks task. In the last few years, the industry players built platforms to support this activity. Notable examples include NVIDIA Metropolis, Intel’s OpenVINO, and AWS Panorama. While these solutions make some aspects of the video-analytics application development more straightforward, there are still many issues to deal with before deploying a video analytics application in production. This post introduces SpyGlass, the first in a series of open-source tools to make developing AWS Panorama application simpler.

From the code, we managed to generate a rectangular card with a play button (images sourced from Unsplash). Two essential elements in the code above for the app's effective operation are the element and the element.

In the root of your project, create a new folder called images and add some images. You can use the images from the example project on GitHub or you can find license free images on unsplash.

Reference links: Unsplash, Pexels, Burst, The Stocks, Pixabay

Images are sourced from Unsplash.

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Since I wanted to have thumbnails for each post (the file it uses is defined by the thumbnail field in the front matter), I decided to add some code that copies the files from our posts folder to the assets folder in Angular. This way, we can easily reference them in our Angular code. However, some of the image files I would download from Unsplash.com (fantastic public domain images btw) were huge and would take a few seconds to load in the browser. So, I delegated this task to gulp, where the files would first be piped to imagemin and then copied to the assets folder. This optimized the images for faster load times. My gulpfile.mjs looks like this:

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