Computer Vision
A conventional video or picture captures the three dimensional world in two dimensions losing crucial information regarding depth which many applications now demand Depth estimation is a challenging problem and
The AI community generously shares code model architectures and even models trained on large datasets We are standing on the shoulders of giants which is why the industry is adopting
The Intel OpenVINO Toolkit provides many great functionalities for Deep Learning model optimization inference and deployment Perhaps the most interesting and practical tool among them is the Deep Learning DL
Traditionally Deep Learning models are trained on high end GPUs But for inference Intel CPUs and edge devices like NVidia s Jetson and Intel Movidius VPUs are preferred Most of
Deep Learning models inferencing on video stream inputs in computer vision applications are mostly used for object detection image segmentation and image classification In many cases we fail to get
