Abstract: A system and method for controlling characteristics of collected image data are disclosed. The system and method include performing pre-processing of an image using GPUs, configuring an optic based on the pre-processing, the configuring being designed to account for features of the pre-processed image, acquiring an image using the configured optic, processing the acquired image using GPUs, and determining if the processed acquired image accounts for feature of the pre-processed image, and the determination is affirmative, outputting the image, wherein if the determination is negative repeating the configuring of the optic and re-acquiring the image.

Abstract: A method and apparatus of performing processing in an image capturing device includes receiving an image by the image capturing device. The image is filtered to generate a first visible light component and a second infrared component. A decontamination is performed on the infrared component to generate a decontaminated infrared component, and an interpolation is performed on the visible component to generate an interpolated visible component, both of which are provided to an image signal processor (ISP) for further processing.

Abstract: Systems, apparatuses, and methods for implementing a low latency long short-term memory (LSTM) machine learning engine using sequence interleaving techniques are disclosed. A computing system includes at least a host processing unit, a machine learning engine, and a memory. The host processing unit detects a plurality of sequences which will be processed by the machine learning engine. The host processing unit interleaves the sequences into data blocks and stores the data blocks in the memory. When the machine learning engine receives a given data block, the machine learning engine performs, in parallel, a plurality of matrix multiplication operations on the plurality of sequences in the given data block and a plurality of coefficients. Then, the outputs of the matrix multiplication operations are coupled to one or more LSTM layers.

Abstract: A processing device is provided which comprises memory configured to store data and a plurality of processor cores in communication with each other via first and second hierarchical communication links. Processor cores of a first hierarchical processor core group are in communication with each other via the first hierarchical communication links and are configured to store, in the memory, a sub-portion of data of a first matrix and a sub-portion of data of a second matrix. The processor cores are also configured to determine a product of the sub-portion of data of the first matrix and the sub-portion of data of the second matrix, receive, from another processor core, another sub-portion of data of the second matrix and determine a product of the sub-portion of data of the first matrix and the other sub-portion of data of the second matrix.

Abstract: A processing device is provided which includes memory and a processor comprising a plurality of processor cores in communication with each other via first and second hierarchical communication links. Each processor core in a group of the processor cores is in communication with each other via the first hierarchical communication links. Each processor core is configured to store, in the memory, one of a plurality of sub-portions of data of a first matrix, store, in the memory, one of a plurality of sub-portions of data of a second matrix, determine an outer product of the sub-portion of data of the first matrix and the sub-portion of data of the second matrix, receive, from another processor core of the group of processor cores, another sub-portion of data of the second matrix and determine another outer product of the sub-portion of data of the first matrix and the other sub-portion of data of the second matrix.

Abstract: A system and method for controlling characteristics of collected image data are disclosed. The system and method include performing pre-processing of an image using GPUs, configuring an optic based on the pre-processing, the configuring being designed to account for features of the pre-processed image, acquiring an image using the configured optic, processing the acquired image using GPUs, and determining if the processed acquired image accounts for feature of the pre-processed image, and the determination is affirmative, outputting the image, wherein if the determination is negative repeating the configuring of the optic and re-acquiring the image.

Abstract: A method and apparatus of performing processing in an image capturing device includes receiving an image by the image capturing device. The image is filtered to generate a first visible light component and a second infrared component. A decontamination is performed on the infrared component to generate a decontaminated infrared component, and an interpolation is performed on the visible component to generate an interpolated visible component, both of which are provided to an image signal processor (ISP) for further processing.

Abstract: A system and method for controlling characteristics of collected image data are disclosed. The system and method include performing pre-processing of an image using GPUs, configuring an optic based on the pre-processing, the configuring being designed to account for features of the pre-processed image, acquiring an image using the configured optic, processing the acquired image using GPUs, and determining if the processed acquired image accounts for feature of the pre-processed image, and the determination is affirmative, outputting the image, wherein if the determination is negative repeating the configuring of the optic and re-acquiring the image.

Abstract: A flexible, user-friendly computer-implemented image processing system is provided. The system includes a process to receive an image rendering request. The image rendering request includes an indication of raw image data and an indication of desired rendering output characteristics. A rendering process is configured to process the raw image data to generate at least one rendered image, based on an indication of a particular image acquisition device employed to generate the raw image data. In accordance with some embodiments, the rendering process includes a plurality of rendering sub-processes. Each sub-process corresponds to a separate image acquisition device, and the rendering process is configured to process the raw image data based on the sub-process corresponding to the indication of the particular image acquisition device employed to generate the raw image data.

Abstract: A system operates on a computing resource that is accessible to a plurality of clients via a communication network. A storage service of the system operates on the computing resource and is configured to store unrendered image data corresponding to scenes. The unrendered image data may be, for example, raw image data or scene colorimetric data. A rendering service of the system also operates on the computing resource and is configured to process the unrendered image data to generate rendered images. In particular, the rendering service processes the unrendered image data responsive to requests from the clients communicated over the communication network, and the rendering processing is based on rendering parameters determined in accordance with the client requests. In addition, a printing service may be provided to transform the rendered images into a tangible form, in accordance with printing requests from the clients.