Joseph's concise and fast-paced 100-page book is an introduction to computer vision using Python, including the use of OpenCV, NumPy, SciPy and drivers for depth cameras such a Kinect.

You can embark on your own experimentation right now with this open source self-driving Python library ... the ability to self-drive with computer vision using machine-learning algorithms.

It relies on the latest advances in computer vision and connecting ... You can display it in Google Colab using the following Python lines. The second part is the corresponding DetectNet text ...

Learners will be able to describe the process behind classic algorithmic solutions to Computer Vision tasks and explain their pros and cons. Learners will be able to use hands-on modern machine ...

A collection of application code samples that demonstrate building computer vision application deployments, that creators can adapt to their own applications. The SDK currently supports Python and ...

The first computer vision use cases in the 1950s analyzed typed versus handwritten text. Early commercial applications focused on single images, including optical character recognition ...

However, computer vision transcends those high-profile use cases and has practical applications across the enterprise value chain. Corporations can harness the power of computer vision to solve ...

Computer vision technology has allowed restaurants to reduce long customer wait times, optimize the use of their floor space and even monitor mask compliance. For example, one startup is using ...

Facebook announced Wednesday that it's been using publicly available, hashtagged photos to train computer vision models -- and it's achieved breakthrough results. Computer vision models typically ...