Launch OpenCV projects on PLON!

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Anyone who tried building any type of real-time computer vision project had to work the Open Source Computer Vision library. It’s a great free for use (BSD license) tool which runs smoothly with a range of Deep Learning frameworks like TensorFlow, Torch/PyTorch and Caffe.

OpenCV on PLON

We use it often and from our own experience, we know that working with it can sometimes be demanding due to the difficulties during the installation process. That’s why we are very happy to launch the OpenCV template on PLON!  You can now use it right away without any installation process. Just start your project by choosing the correct template and you are ready to build you image recognition models on our platform.

Launch OpenCV on PLON

You can also find an example on how to use OpenCV for finding circles in pictures in the explore section.

Happy computing!

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Cifar-10 Classification using Keras Tutorial

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The CIFAR-10 data set consists of 60000 32×32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.

Recognizing photos from the cifar-10 collection is one of the most common problems in the today’s  world of machine learning. I’m going to show you – step by step – how to build multi-layer artificial neural networks that will recognize images from a cifar-10  set with an accuracy of about 80% and visualize it.

If you want to check the whole project in your browser just open it in your browser using PLON –  our data science platform.

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Weather data visualization for San Francisco Bay Area – a Python Pandas and Matplotlib Tutorial

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Weather data is a great type of input when starting to learn tools and technologies for your data science skills. This project will introduce us to the basics of Pandas and Matplotlib Python libraries using data for San Francisco, San Mateo, Santa Clara, Mountain View and San Jose in California.

If you are interested in checking out the whole project you can run it  in your browser using our PLON Platform.

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