Using TensorFlow with Intel RealSense Depth Cameras

There are many situations where using a depth camera as input into a machine learning system can offer additional benefits and features – as we previously discussed in a prior blog post “What does Depth Bring to Machine Learning.” Depth cameras have a number of advantages for a variety of machine learning problems, including lighting invariance. Depth cameras can easily adapt to a wide variety of lighting conditions, something that 2D models must be trained to compensate for. A depth camera also allows differentiation between items of different size as well as easier background segmentation, allowing the separation of individual items regardless of how complicated the background is.

 

To learn more please read this report.

Using TensorFlow with Intel RealSense Depth Cameras

To Unlock Please Provide the Following

 

Must Read