Patent ID: 11961198
Assignee: DHANA INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 25:
26. The method as claimed in claim 25, wherein the implementation of the CapsNet for carrying out the segmentation operation and computation of the body measurements of the second user type comprises the steps of:
inputting, to the CapsNet, an image of a dimension ‘512×512’ (height (H) and width (W)) providing the determined body portion of the second user type;
passing the image to the Conv1 layer of the CapsNet, wherein the Conv1 is of a dimension ‘512×512×1×128’, and wherein the Conv1 layer has 128, 9×9 convolution kernels with a stride of 1 and comprises a Rectified Linear Unit (ReLU) activation;
passing the output of the Conv1 layer as an input to the Conv2, wherein the Conv2 layer is of a dimension ‘512×512×1×128’, and wherein the Conv2 layer has 128, 9×9 convolution kernels with the stride of 1 and comprises the ReLU activation;
selecting by the Conv1 layer and Conv2 layer, a pixel size of the body image and running a window of a pre-determined size through the body image associated with the second input type, starting from left side and going to the right side of the image, pixel by pixel, which converts pixel intensities to the activities of local feature detectors, wherein running of window segments the body image into multiple small images, which are combined together for determining an output image; providing the output image from the Conv2 layer as an input to a primary capsule layer of a dimension ‘512×512×32×8’;
providing an output from the primary capsule layer as an input to a segmentation capsule (SegCaps) layer, wherein the Segcaps layer is of a dimension ‘512×512×1×16’;
processing by the SegCaps layer, the received input and providing an output to a reconstruction convolution layer having a dimension of ‘512×512×128’ for generating the second mask image; and
processing further by the SegCaps layer, the received input image for computing length of one or more vectors associated with the received input image for providing a segmented output image having a dimension of ‘512×512’ for determining body measurements of the second user type, and wherein a CapsNet loss function (lk), associated with a Capsule k, is computed.