General Structure The general structure that is used by most of the deep neural network models for semantic segmentation is similar to the one illustrated in the diagram below. The architecture goes through

This is the first in a series of lessons about semantic segmentation. Semantic segmentation involves understanding not just what happens to be in the scene, but also what regions of the image those things

Summary OpenCV is a really good library to use for processing video files and real time video sources from a webcam in python. Setting it up, however (at least on ubuntu), can be a little tricky. It is

1. Summary This post will cover how to avoid headaches with Tensorflow's built in evaluation metrics operations such as tf.metrics.accuracy() tf.metrics.precision() tf.metrics.recall() tf.metrics.mean_iou()

Description This blog post will go through the steps needed to perform transfer learning using the Inception V3 architecture in python using Tensorflow. There are actually several types of transfer learning,