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Training a TensorFlow2 model with Keras

Training a TensorFlow2 model with Keras

In this tutorial, we’ll train a MobileNetV2 TensorFlow model with Keras so that it can be applied to our problem. We’ll then be able to use it in real time to classify new images. For this tutorial, we assume that you have followed the previous tutorials:...
Object recognition with Yolo and OpenCV

Object recognition with Yolo and OpenCV

In this tutorial, we’ll look at how to perform object recognition with Yolo and OpenCV, using a neural network pre-trained with deep learning. We saw in a previous tutorial how to recognize simple shapes using computer vision. This method only works for certain...
Prepare an image bank for Model training

Prepare an image bank for Model training

To prepare an image database for training a neural network in object recognition, you need to recognize the images in the database yourself. This means giving them a label and a recognition zone. This tutorial follows on from the article Creating an image bank....
Object recognition with TensorFlow and OpenCV

Object recognition with TensorFlow and OpenCV

In this tutorial, we’ll look at how to perform object recognition with TensorFlow and OpenCV, using a neural network pre-trained with deep learning. We saw in a previous tutorial how to recognise simple shapes using computer vision. This method only works for...
Text recognition with Python

Text recognition with Python

In this tutorial, we’ll look at how to recognize text from images using Python and Tesseract. Tesseract is a tool for recognizing characters, and therefore text, contained in an image (OCR, Optical Character Recognition). Installing Tesseract Under Linux To...