CAFFE (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at UC Berkeley. It is open source, under a BSD license. It is written in C++, with a Python interface.
Type of optical sensor with lens and image signal processors, providing low-latency data feed to the dashboard and / or to further processing for computer vision tasks. Lens and ISP will vary depending on application, e.g. surround view cameras are likely to have a wider lens and thus capture more… read more