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Motion tracking and compositing basics in Adobe After Effects CC: Pimple/acne removal, sign/screen replacement, Mocha AE.

About This Video:

• Image replacement in moving footage
• Enhancing an actor's face by removing and cleaning up their pimples/acne
• Removing objects from your scene
• Tracking Techniques
• Compositing Techniques
• Adding/Removing Objects In Your Footage
• An Introduction into Tracking inside Mocha AE

In Detail: Get started with real world motion tracking and compositing techniques inside Adobe After Effects CC! It will take you from the very beginning of opening. After Effects, creating a composition, importing footage, opening Mocha AE for tracking, sending data back to After Effects and performing your composite into your footage. Your instructor for this course is Will Bartlett. He has been using After Effects since 2006 for commercials, feature films, and animated creative projects. He is the founder of an established video production company in Toronto Canada and has been the Visual Effects Supervisor and Lead Visual Effects Artist on dozens of projects including feature films and television commercials. Our team will be available to answer any questions as well as help you with any issues you may come across while making your way through the course. Even if you don’t have After Effects you can still take advantage of this course by downloading a free 30 day trial from Adobe, on their website. All you need to do is create a free account with them, it only takes a minute and you will then be able to start downloading After Effects. Get started now with Adobe's visual effects program to enhance your footage today!

Motion Tracking & Compositing Techniques:

• Introduction
• Course Content and File Organization
• Mocha AE Motion Tracking
• Working With Mocha AE Data Inside after Effects
• Hiding Objects on Moving Part of Your Scene
• Removing Acne (Pimples/ Blemishes) From a Model Part 1
• Removing Acne (Pimples/ Blemishes) From a Model Part 2
• Replacing a Picture Frame Image in Moving Footage Part 1
• Replacing a Picture Frame Image in Moving Footage Part 2
• Removing an Object from a Scene in Moving Footage Part 1
• Removing an Object from a Scene in Moving Footage Part 2

Gain a working knowledge of advanced machine learning.

About This Video: Write concise Python scripts to generate captions from images. Develop an application that estimates human poses from 2D images. See deep learning methods that can be applied to a wide variety of problems in computer vision.

In Detail: Python’s wealth of powerful packages along with its clear syntax make state-of-the art computer vision and machine learning accessible to developers with a variety of backgrounds. This video course will equip you with the tools and skills to utilize the latest and greatest algorithms in computer vision, making applications that weren’t possible until recent years.In this course, you’ll continue to use TensorFlow and extend it to generate full captions from images. Later, you’ll see how to read text from license plates from real-world images using Google’s Tesseract Software. Finally, you’ll see how to track human body poses using “DeeperCut” within TensorFlow. At the end of this course, you’ll develop an application that can estimate human poses within images and will be able to take on the world with best practices in computer vision with machine learning. The code bundle for this video course is available at - https://github.com/PacktPublishing/Advanced-Computer-Vision-Projects