Abstract: Methods and devices are provided for processing image data on a sub-frame portion basis using layers of a convolutional neural network. The processing device comprises memory and a processor. The processor is configured to receive frames of image data comprising sub-frame portions, schedule a first sub-frame portion of a first frame to be processed by a first layer of the convolutional neural network when the first sub-frame portion is available for processing, process the first sub-frame portion by the first layer and continue the processing of the first sub-frame portion by the first layer when it is determined that there is sufficient image data available for the first layer to continue processing of the first sub-frame portion. Processing on a sub-frame portion basis continues for subsequent layers such that processing by a layer can begin as soon as sufficient data is available for the layer.

Abstract: A method and apparatus for adjusting a display includes receiving a video stream. The video stream is analyzed for one or more environmental conditions. Based upon the analysis, a portion of the display is adjusted.

Abstract: A method for removing reflections from images is disclosed. The method includes identifying one or more segments of an image, the one or more segments including a reflection; identifying one or more features of the one or more segments; removing the one or more features from the segments to generate one or more sanitized segments; and combining the one or more sanitized segments with the image to generate a sanitized image.

Abstract: A technique for processing images is disclosed. The technique includes determining depth information for an image; identifying a depth threshold; and modifying content of the image based on a comparison of the depth information and the depth threshold.

Abstract: Methods and devices are provided for processing image data on a sub-frame portion basis using layers of a convolutional neural network. The processing device comprises memory and a processor. The processor is configured to receive frames of image data comprising sub-frame portions, schedule a first sub-frame portion of a first frame to be processed by a first layer of the convolutional neural network when the first sub-frame portion is available for processing, process the first sub-frame portion by the first layer and continue the processing of the first sub-frame portion by the first layer when it is determined that there is sufficient image data available for the first layer to continue processing of the first sub-frame portion. Processing on a sub-frame portion basis continues for subsequent layers such that processing by a layer can begin as soon as sufficient data is available for the layer.

Abstract: Programming hardware registers using a pipelined register bus, and related methods, systems, and apparatuses are disclosed. In one aspect, a method for communicating over a register bus comprises initiating, at a register bus master, a request comprising an address, and passing the request from the register bus master to a first register bus slave of a processor module via a register bus. The method further comprises decoding the address at a module core of the processor module, and determining whether the address corresponds to the processor module. The method also comprises, responsive to determining that the address corresponds to the processor module, processing the request by the module core, and passing the same request as-is to a second register bus slave. The method additionally comprises, responsive to determining that the address does not correspond to the processor module, passing the same request as-is to the second register bus slave.