In this guide you will learn how to apply Neural Style Transfer with OpenCV and Python to both images and video streams.

A new paper discusses some of the recent trends in deep learning based natural language processing (NLP) systems and applications. The focus is on the review and comparison of models and methods that have achieved state-of-the-art (SOTA) results on various…

We implement Scale and Translate augmentation techniques, and what to do if a portion of your bounding box is outside the image after the augmentation.

This Object Detection Tutorial will provide you a detailed and comprehensive knowledge of Object Detection and how we can leverage Tensorflow for the same.

TensorFlow tutorial is the third blog in the series. It includes all the basics of TensorFlow. It also talks about how to create a simple linear model.

Note: This article is intended for beginner and above machine learning enthusiasts. In other words, you need to have at least some level…

In this guide you will learn how to use dlib to efficiently track multiple objects in video in real-time.

Use OpenCV to track objects in video using OpenCV's 8 object tracking algorithms, including CSRT, KCF, Boosting, MIL, TLD, MedianFlow, MOSSE, and GOTURN. Python + OpenCV object tracking code included.

The Mission Newsletter, 10/29/18