Image processing (part 7) Convolution Neural Networks – CNN
In this article we will see step by step how to create and use a convolutional neural network (CNN) to classify images.
All to understand and practice A.I. in a simple way
In this article we will see step by step how to create and use a convolutional neural network (CNN) to classify images.
In this post you’ll figure out how it’s easy to make facial recognition inside a video flow with OpenCV.
In this article we will see how to automate image straightening with blue Prism and Python.
In this article I show you how in a few lines of Python code you can straighten a document that has for example been scanned crooked.
Discover in a short demo how Blur Prism Decipher IDP allows you to easily automate the classification and then the extraction of data from unstructured documents (scanned for example).
In this article we will see how we will be able to recover information (photo, and other information) from a scanned identity card. In this article we will use the OpenCV and tesseract libraries with Python.
Find out in this article how to use OpenCV to easily do facial recognition in a image.
Find out in this article how to use tesseract in relatively complex cases with Python and OpenCV.
In this post, I suggest you create a web service (RESTFul) in Python which will retrieve an image (JPEG) to analyze and process it in order to return the constituent elements.