OBJECT DETECTION DEVICE, METHOD, AND PROGRAM

    公开(公告)号:US20240119605A1

    公开(公告)日:2024-04-11

    申请号:US18275786

    申请日:2021-02-09

    Abstract: A calculation unit (22) sets each frame, of a moving image including a plurality of frames, as a target frame, calculates a motion vector with reference to a reference frame over an entirety of the target frames, and calculates an index indicating a magnitude of change between a key frame and the target frame, which is represented by using the motion vector, a judgement unit (25) judges whether or not the calculated index is equal to or greater than a predetermined threshold value, a first detection unit (27) detects a region indicating an object from the target frame by using an object detection model in a case in which the index is equal to greater than the threshold value, a second detection unit (28) detects a region on the target frame, which is obtained by correcting a position of a region detected in the reference frame by using the motion vector in a case in which the index is less than the threshold value, and an output unit (30) outputs information of the region detected by the first detection unit (27) and information of the region detected by the second detection unit (28).

    OBJECT DETECTION DEVICE, OBJECT DETECTION METHOD, AND OBJECT DETECTION PROGRAM

    公开(公告)号:US20240370694A1

    公开(公告)日:2024-11-07

    申请号:US18561276

    申请日:2021-05-26

    Abstract: An object detection device subjects fixed-length data having a decimal point position set therein to an arithmetic processing corresponding to respective layers in a plurality of layers configuring a multilayer neural network to which an input image is input, the arithmetic processing being performed in accordance with a processing algorithm for the multilayer neural network to which an input image is input. In the arithmetic processing, the object detection device counts the upper limit number of saturations, which is a number of times that upper limit value of a value range determined by the decimal point position is exceeded, and the lower limit number of saturations, which is a number of times that the lower limit value of the value range is not reached. The object detection device counts the upper limit number of saturation layers, which is a number of layers in which the upper limit number of saturations is one or larger, and the lower limit number of saturation layers, which is a number of layers in which the lower limit number of saturations is one or larger. The object detection device changes at least one of the upper limit saturation threshold, which is the threshold of the upper limit number of saturations or the lower limit saturation threshold, which is the threshold of the lower limit number of saturations, when at least one of the upper limit saturation threshold or the lower limit saturation threshold is determined not to be optimal based on an amount of change in the upper limit number of saturation layers and an amount of change in the lower limit number of saturation layers. The object detection device sets the decimal point position for each layer in the plurality of layers, based on a result of the determination.

    DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND DATA PROCESSING PROGRAM

    公开(公告)号:US20240135155A1

    公开(公告)日:2024-04-25

    申请号:US18269528

    申请日:2020-12-28

    CPC classification number: G06N3/063

    Abstract: In a data processing device, a fixed-point position control unit determines, as first control. The fixed-point position control unit causes a detection calculation unit to perform calculation processing on processing target data at a processing point in time. The saturation rate control unit instructs, as second control to be repeated by the fixed-point position control unit, the fixed-point position control unit to move at least the fixed-point position as control to increase a lower limit saturation rate proportional to a magnitude of a counted lower limit counter value with respect to a result of the first control. The fixed-point position control unit performs, as the second control, a predetermined determination on the basis of the instruction from the saturation rate control unit and the metadata, determines the fixed-point position moved for each layer, and causes calculation processing to be performed.

    OPERATION CIRCUIT, OPERATION METHOD, AND PROGRAM

    公开(公告)号:US20240054181A1

    公开(公告)日:2024-02-15

    申请号:US18256005

    申请日:2020-12-09

    CPC classification number: G06F17/16 G06F7/50

    Abstract: One aspect of the present invention is an operation circuit for performing a convolution operation of input feature map information supplied as a plurality of channels and coefficient information supplied as a plurality of channels, the operation circuit including a set including at least two channels of an output feature map based on output channels and at least three sub-operation circuits, wherein at least two sub-operation circuits are allocated for each set, the sub-operation circuits included in the set execute processing of a convolution operation of the coefficient information and the input feature map information included in the set, when a specific channel of the output feature map is a zero matrix, a sub-operation circuit that performs a convolution operation of the zero matrix executes processing of a convolution operation of the coefficient information and the input feature map information to be supplied next from a channel of the output feature map and a channel of the input feature map included in the set, and a result of the convolution operation is output for each channel of the output feature map.

    BUFFER APPARATUS
    7.
    发明申请

    公开(公告)号:US20210258591A1

    公开(公告)日:2021-08-19

    申请号:US16973741

    申请日:2019-06-04

    Abstract: A buffer device stores, in relation to a first area and a second area, which are partial areas respectively located on an identical line of an encoding target frame, and a third area, which is a partial area on the line below the identical line, reference image data for each search range of a reference frame that is referred to during motion search processing executed in order of the first area, the second area, and the third area, the buffer device including a memory for storing the reference image data, and a buffer control unit which, when the motion search processing is executed on the second area, executes control so that among the reference image data included in a first search range that is referred to during the motion search processing of the first area, the reference image data included in a third search range that is referred to during the motion search processing of the third area are left in the memory without being deleted.

    DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND DATA PROCESSING PROGRAM

    公开(公告)号:US20250036715A1

    公开(公告)日:2025-01-30

    申请号:US18715083

    申请日:2021-12-03

    Abstract: There is provided a data processing device 10 that performs a convolution operation of two pieces of input data of 2M×N bits (N is a positive integer and M is a natural number) width with a minimum accuracy of the convolution operation being N bits, and performs processing corresponding to a plurality of the consecutive M, the data processing device 10 including: a product-sum operation unit 101 that performs a product-sum operation according to the value of M; a shifter 102 that performs shift processing on a result of a product-sum operation of the product-sum operation unit 101 in a case where the value of M is not 0; an addition unit 103 that performs addition processing on each output of the shifter 102 or the product-sum operation unit 101 according to the value of M; a selector 105 that selects an output from the addition unit 103 according to the value of M; a cumulative addition unit 106 that cumulatively adds the outputs from the selector 105; and a cumulative addition memory 107 that stores outputs from the cumulative addition unit 106 in a process of a convolution operation.

    CONVOLUTIONAL NEURAL NETWORK INFERENCE PROCESSING DEVICE AND CONVOLUTIONAL NEURAL NETWORK INFERENCE PROCESSING METHOD

    公开(公告)号:US20240289593A1

    公开(公告)日:2024-08-29

    申请号:US18572329

    申请日:2021-06-25

    CPC classification number: G06N3/0464

    Abstract: A first aspect of the present disclosure is a convolutional neural network inference processing device that performs processing in a convolutional neural network including a plurality of convolution layers and a residual layer that adds intermediate data related to the plurality of convolution layers as an addition target to a processing result by the plurality of convolution layers for each tile that is data obtained by dividing input data into a predetermined size, the convolutional neural network inference processing device including an inconsistency data storage unit that stores inconsistency data that is data at a portion where there is inconsistency between the processing result and the intermediate data, a past layer data storage unit that stores past layer data that is an addition target in a residual layer generated using inconsistency data related to the tile for which processing has been performed in a past and the intermediate data, and a processing unit that performs processing by the plurality of convolution layers and processing by the residual layer that adds the past layer data to the processing result.

    DATA PROCESSING DEVICE, DATA PROCESSING METHOD, AND DATA PROCESSING PROGRAM

    公开(公告)号:US20240232593A9

    公开(公告)日:2024-07-11

    申请号:US18269528

    申请日:2020-12-28

    CPC classification number: G06N3/063

    Abstract: In a data processing device, a fixed-point position control unit determines, as first control. The fixed-point position control unit causes a detection calculation unit to perform calculation processing on processing target data at a processing point in time. The saturation rate control unit instructs, as second control to be repeated by the fixed-point position control unit, the fixed-point position control unit to move at least the fixed-point position as control to increase a lower limit saturation rate proportional to a magnitude of a counted lower limit counter value with respect to a result of the first control. The fixed-point position control unit performs, as the second control, a predetermined determination on the basis of the instruction from the saturation rate control unit and the metadata, determines the fixed-point position moved for each layer, and causes calculation processing to be performed.

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