In this last chapter of the book, we have seen how to create web applications using Python web frameworks and discovered the potential of web frameworks like Flask. More specifically, we have developed several web computer vision and web deep learning applications using OpenCV, Keras, and Flask and learned how to ingrate it with them to provide the web applications machine learning and deep learning capabilities. Additionally, we have also covered how to deploy a Flask application to the cloud using PythonAnywhere, which provides capabilities for web hosting. Finally, we have also seen how to perform requests (for example, GET and POST) from the browser (GET requests) and, also, programmatically (GET and POST requests) to create a web face API using OpenCV and Flask, and to create a deep learning API using OpenCV.
- Tech Categories
- Best Sellers
- New Releases
- Books
- Videos
- Audiobooks
Tech Categories Popular Audiobooks
- Articles
- Newsletters
- Free Learning
You're reading from Mastering OpenCV 4 with Python
Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.
Read more about Alberto Fernández Villán
Unlock this book and the full library FREE for 7 days
Author (1)
Alberto Fernndez Villn is a software engineer with more than 12 years of experience in developing innovative solutions. In the last couple of years, he has been working in various projects related to monitoring systems for industrial plants, applying both Internet of Things (IoT) and big data technologies. He has a Ph.D. in computer vision (2017), a deep learning certification (2018), and several publications in connection with computer vision and machine learning in journals such as Machine Vision and Applications, IEEE Transactions on Industrial Informatics, Sensors, IEEE Transactions on Industry Applications, IEEE Latin America Transactions, and more. As of 2013, he is a registered and active user (albertofernandez) on the Q&A OpenCV forum.
Read more about Alberto Fernández Villán