公开(公告)号：US11580719B2

公开(公告)日：2023-02-14

申请号：US17128365

申请日：2020-12-21

Applicant: Texas Instruments Incorporated

Inventor： Kumar Desappan ,  Manu Mathew ,  Pramod Kumar Swami ,  Praveen Eppa

IPC: G06V10/28 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06N3/063 ,  G06V10/44

Abstract: A method for dynamically quantizing feature maps of a received image. The method includes convolving an image based on a predicted maximum value, a predicted minimum value, trained kernel weights and the image data. The input data is quantized based on the predicted minimum value and predicted maximum value. The output of the convolution is computed into an accumulator and re-quantized. The re-quantized value is output to an external memory. The predicted min value and the predicted max value are computed based on the previous max values and min values with a weighted average or a pre-determined formula. Initial min value and max value are computed based on known quantization methods and utilized for initializing the predicted min value and predicted max value in the quantization process.

公开(公告)号：US20220377322A1

公开(公告)日：2022-11-24

申请号：US17875305

申请日：2022-07-27

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Soyeb Nagori ,  Manu Mathew ,  Pramod Kumar Swami

IPC: H04N19/107 ,  H04N19/176 ,  H04N19/147 ,  H04N19/50

Abstract: This invention predicts that intra mode prediction is more effective for the macroblocks where motion estimation in inter mode prediction fails. This failure is indicated by a large value of the inter mode SAD. This invention performs intra mode prediction for only macro blocks have larger inter mode SADs. The definition of a large inter mode SAD differs for different content. This invention compares the inter mode SAD of a current macroblock with an adaptive threshold. This adaptive threshold depends on the average and variance of the SADs of the previous predicted frame. An adaptive threshold is calculated for each new predictive frame.

公开(公告)号：US20220327810A1

公开(公告)日：2022-10-13

申请号：US17555435

申请日：2021-12-18

Applicant: Texas Instruments Incorporated

Inventor： Soyeb Noormohammed Nagori ,  Manu Mathew ,  Debapriya Maji ,  Pramod Kumar Swami

IPC: G06V10/774 ,  G06N3/08 ,  G06V10/82

Abstract: A method for multi-label image classification in a convolutional neural network (CNN) is provided that includes forming a composite image from a plurality of clipped images, and processing the composite image by the CNN to generate a probability vector for each clipped image of the plurality of clipped images, wherein a length of a probability vector is equal to a number of classes the CNN is designed to classify.

公开(公告)号：US20220327355A1

公开(公告)日：2022-10-13

申请号：US17809677

申请日：2022-06-29

Applicant: Texas Instruments Incorporated

Inventor： Manu Mathew ,  Kumar Desappan ,  Pramod Kumar Swami

IPC: G06N3/04 ,  G06N3/08 ,  G06F17/15 ,  G06F7/544

Abstract: A method for generating a sparsified convolutional neural network (CNN) is provided that includes training the CNN to generate coefficient values of filters of convolution layers, and performing sparsified fine tuning on the convolution layers to generate the sparsified CNN, wherein the sparsified fine tuning causes selected nonzero coefficient values of the filters to be set to zero.

公开(公告)号：US11425371B2

公开(公告)日：2022-08-23

申请号：US17008247

申请日：2020-08-31

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Soyeb Nagori ,  Manu Mathew ,  Pramod Kumar Swami

IPC: H04N19/107 ,  H04N19/176 ,  H04N19/147 ,  H04N19/50

Abstract: This invention predicts that intra mode prediction is more effective for the macroblocks where motion estimation in inter mode prediction fails. This failure is indicated by a large value of the inter mode SAD. This invention performs intra mode prediction for only macro blocks have larger inter mode SADs. The definition of a large inter mode SAD differs for different content. This invention compares the inter mode SAD of a current macroblock with an adaptive threshold. This adaptive threshold depends on the average and variance of the SADs of the previous predicted frame. An adaptive threshold is calculated for each new predictive frame.

公开(公告)号：US20210287021A1

公开(公告)日：2021-09-16

申请号：US17195915

申请日：2021-03-09

Applicant: Texas Instruments Incorporated

Inventor： Prashanth Ramanathpur Viswanath ,  Deepak Kumar Poddar ,  Soyeb Nagori ,  Manu Mathew

IPC: G06K9/00

Abstract: A method for estimating time to collision (TTC) of a detected object in a computer vision system is provided that includes determining a three dimensional (3D) position of a camera in the computer vision system, determining a 3D position of the detected object based on a 2D position of the detected object in an image captured by the camera and an estimated ground plane corresponding to the image, computing a relative 3D position of the camera, a velocity of the relative 3D position, and an acceleration of the relative 3D position based on the 3D position of the camera and the 3D position of the detected object, wherein the relative 3D position of the camera is relative to the 3D position of the detected object, and computing the TTC of the detected object based on the relative 3D position, the velocity, and the acceleration.

公开(公告)号：US20210279550A1

公开(公告)日：2021-09-09

申请号：US17327988

申请日：2021-05-24

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Manu Mathew ,  Kumar Desappan ,  Pramod Kumar Swami

IPC: G06N3/04 ,  G06N3/08 ,  G06F17/15 ,  G06F7/544

Abstract: A method for convolution in a convolutional neural network (CNN) is provided that includes accessing a coefficient value of a filter corresponding to an input feature map of a convolution layer of the CNN, and performing a block multiply accumulation operation on a block of data elements of the input feature map, the block of data elements corresponding to the coefficient value, wherein, for each data element of the block of data elements, a value of the data element is multiplied by the coefficient value and a result of the multiply is added to a corresponding data element in a corresponding output block of data elements comprised in an output feature map.

公开(公告)号：US20210224658A1

公开(公告)日：2021-07-22

申请号：US17117271

申请日：2020-12-10

Applicant: Texas Instruments Incorporated

Inventor： Manu Mathew ,  Kumar Desappan ,  Soyeb Noormohammed Nagori ,  Debapriya Maji ,  Pramod Kumar Swami

IPC: G06N3/08 ,  G06N3/04

Abstract: In described examples of a method for quantizing data for a convolutional neural network (CNN) is provided. A set of data is received and quantized the using a power-of-2 parametric activation (PACT2) function. The PACT2 function arranges the set of data as a histogram and discards a portion of the data corresponding to a tail of the histogram to form a remaining set of data. A clipping value is determined by expanding the remaining set of data to a nearest power of two value. The set of data is then quantized using the clipping value. With PACT2, a model can be quantized either using post training quantization or using quantization aware training. PACT2 helps a quantized model to achieve close accuracy compared to the corresponding floating-point model.

公开(公告)号：US20210088331A1

公开(公告)日：2021-03-25

申请号：US17115079

申请日：2020-12-08

Applicant: Texas Instruments Incorporated

Inventor： Soyeb Nagori ,  Poorna Kumar ,  Manu Mathew ,  Prashanth Ramanathpur Viswanath ,  Deepak Kumar Poddar

IPC: G01C3/08 ,  G06T7/73 ,  G06T7/77 ,  G06T7/579 ,  B60R11/04 ,  G01C5/00 ,  G01C21/26 ,  G06K9/00 ,  G06K9/62

Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.

公开(公告)号：US20200327342A1

公开(公告)日：2020-10-15

申请号：US16865080

申请日：2020-05-01

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Arun Shankar Kudana ,  Manu Mathew ,  Soyeb Nagori

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62

Abstract: Advanced driver assistance systems can be designed to recognize and to classify traffic signs under real time constraints, and under a wide variety of visual conditions. This disclosure provides techniques that employ binary masks extracted by color space segmentation, with a different binary mask generated for each sign shape. Temporal tracking is employed to add robustness to the detection system. The system is generic, and is trainable to the traffic signs used in various countries.