METHODS AND SYSTEMS FOR ANALYZING IMAGES IN CONVOLUTIONAL NEURAL NETWORKS

    公开(公告)号:US20200302217A1

    公开(公告)日:2020-09-24

    申请号:US16898972

    申请日:2020-06-11

    Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.

    Bandwidth controlled data synchronization for image and vision processor

    公开(公告)号:US10776167B2

    公开(公告)日:2020-09-15

    申请号:US15269952

    申请日:2016-09-19

    Abstract: A hardware thread scheduler (HTS) is provided for a multiprocessor system. The HTS is configured to schedule processing of multiple threads of execution by resolving data dependencies between producer modules and consumer modules for each thread. Pattern adaptors may be provided in the scheduler that allows mixing of multiple data patterns across blocks of data. Transaction aggregators may be provided that allow re-using the same image data by multiple threads of execution while the image date remains in a given data buffer. Bandwidth control may be provided using programmable delays on initiation of thread execution. Failure and hang detection may be provided using multiple watchdog timers.

    Methods and systems for analyzing images in convolutional neural networks

    公开(公告)号:US10713522B2

    公开(公告)日:2020-07-14

    申请号:US16400149

    申请日:2019-05-01

    Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.

    THREAD SCHEDULING FOR MULTITHREADED DATA PROCESSING ENVIRONMENTS

    公开(公告)号:US20190286483A1

    公开(公告)日:2019-09-19

    申请号:US16298709

    申请日:2019-03-11

    Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement thread scheduling for multithreaded data processing environments are disclosed. Example thread schedulers disclosed herein for a data processing system include a buffer manager to determine availability of respective buffers to be acquired for respective processing threads implementing respective functional nodes of a processing flow, and to identify first ones of the processing threads as stalled due to unavailability of at least one buffer in the respective buffers to be acquired for the first ones of the processing threads. Disclosed example thread schedulers also include a thread execution manager to initiate execution of second ones of the processing threads that are not identified as stalled.

    METHODS AND SYSTEMS FOR ANALYZING IMAGES IN CONVOLUTIONAL NEURAL NETWORKS

    公开(公告)号:US20190258891A1

    公开(公告)日:2019-08-22

    申请号:US16400149

    申请日:2019-05-01

    Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.

    Methods and systems for analyzing images in convolutional neural networks

    公开(公告)号:US10325173B2

    公开(公告)日:2019-06-18

    申请号:US16108237

    申请日:2018-08-22

    Abstract: A method for analyzing images to generate a plurality of output features includes receiving input features of the image and performing Fourier transforms on each input feature. Kernels having coefficients of a plurality of trained features are received and on-the-fly Fourier transforms (OTF-FTs) are performed on the coefficients in the kernels. The output of each Fourier transform and each OTF-FT are multiplied together to generate a plurality of products and each of the products are added to produce one sum for each output feature. Two-dimensional inverse Fourier transforms are performed on each sum.

    ADAPTIVE BILATERAL (BL) FILTERING FOR COMPUTER VISION

    公开(公告)号:US20190130534A1

    公开(公告)日:2019-05-02

    申请号:US16178200

    申请日:2018-11-01

    Abstract: A method for filtering noise for imaging includes receiving an image frame having position and range data. A filter size divides the frame into filter windows for processing each of the filter windows. For the first pixel, a space to the center pixel and a range difference between this pixel and the center pixel is determined and used for choosing a selected weight from weights in a 2D weight LUT including weighting for space and range difference, a filtered range value is calculated by applying the selected 2D weight to the pixel, and the range, filtered range value and selected 2D weight are summed. The determining, choosing, calculating and summing are repeated for at least the second pixel. A total sum of contributions from the first and second pixel are divided by the sum of selected 2D weights to generate a final filtered range value for the center pixel.

Patent Agency Ranking