Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Computer Vision Projects with OpenCV and Python 3

You're reading from   Computer Vision Projects with OpenCV and Python 3 Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow

Arrow left icon
Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789954555
Length 182 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Matthew Rever Matthew Rever
Author Profile Icon Matthew Rever
Matthew Rever
Arrow right icon
View More author details
Toc

Table of Contents (9) Chapters Close

Preface 1. Setting Up an Anaconda Environment FREE CHAPTER 2. Image Captioning with TensorFlow 3. Reading License Plates with OpenCV 4. Human Pose Estimation with TensorFlow 5. Handwritten Digit Recognition with scikit-learn and TensorFlow 6. Facial Feature Tracking and Classification with dlib 7. Deep Learning Image Classification with TensorFlow 8. Other Books You May Enjoy

Speeding up computation with your GPU

In this section, we'll talk briefly about speeding up computations with your GPU. The good news is that TensorFlow is actually very smart about using the GPU, so if you have everything set up, then it's pretty simple.

Let's see what things look like if we have the GPU properly set up. First, import TensorFlow as follows:

import tensorflow

Next, we print tensorflow.Session(). This just gives us information about our CPU and GPU (if it is properly set up):

print(tensorflow.Session())

The output is as follows:

As we can see from the output, we're using a laptop with a GeForce GTX 970M, which is CUDA-compatible. This is needed in order to run TensorFlow with the GPU. If everything is set up properly, you will see a message very similar to the preceding output for your GPU, your card model, and details about it such as its...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime