Abstract: Disclosed are example implementations of systems and methods for virtual try-on of articles of clothing. An example method of virtual try-on of articles of clothing includes ingesting information specifying articles of clothing using a first machine learning model; retrieving a stored outfit, the stored outfit comprising at least one garment; inferring a style for the stored outfit preferred by the user with a second machine learning model; generating a shopper avatar wearing the stored outfit with the inferred style based on a physique of a user; and providing the shopper avatar wearing the stored outfit with the inferred style for display to the user in a user interface.

Abstract: Disclosed are example implementations of systems and methods for virtual digital closet of available digital fashion items.

Abstract: Disclosed are example embodiments of systems and methods for virtual try-on of articles of clothing. An example method of virtual try-on of articles of clothing includes selecting a garment from a pre-existing database. The method also includes loading a photo of a source model wearing the selected garment. Additionally, the method includes generating a semantic segmentation of the model image. The method also includes extracting the selected garment from the photo of the model. Additionally, the method includes determining a correspondence between a target model and the source model by performing a feature point detection and description of the target model and the source model, and performing feature matching and correspondence validation. The method also includes performing garment warping and alignment of the extracted garment. Additionally, the method includes overlaying and rendering the garment.

Abstract: Disclosed are example embodiments of systems and methods for virtual try-on of articles of clothing. An example method of virtual try-on of articles of clothing includes selecting a garment from a pre-existing database. The method also includes loading a photo of a source model wearing the selected garment. Additionally, the method includes generating a semantic segmentation of the model image. The method also includes extracting the selected garment from the photo of the model. Additionally, the method includes determining a correspondence between a target model and the source model by performing a feature point detection and description of the target model and the source model, and performing feature matching and correspondence validation. The method also includes performing garment warping and alignment of the extracted garment. Additionally, the method includes overlaying and rendering the garment.

Abstract: Disclosed are example embodiments of systems and methods for virtual try-on of articles of clothing. An example method of virtual try-on of articles of clothing includes selecting a garment from a pre-existing database. The method also includes loading a photo of a source model wearing the selected garment. Additionally, the method includes generating a semantic segmentation of the model image. The method also includes extracting the selected garment from the photo of the model. Additionally, the method includes determining a correspondence between a target model and the source model by performing a feature point detection and description of the target model and the source model, and performing feature matching and correspondence validation. The method also includes performing garment warping and alignment of the extracted garment. Additionally, the method includes overlaying and rendering the garment.

Abstract: Disclosed are example embodiments of systems and methods for virtual try-on of articles of clothing. An example method of virtual try-on of articles of clothing includes selecting a garment from a pre-existing database. The method also includes loading a photo of a source model wearing the selected garment. Additionally, the method includes generating a semantic segmentation of the model image. The method also includes extracting the selected garment from the photo of the model. Additionally, the method includes determining a correspondence between a target model and the source model by performing a feature point detection and description of the target model and the source model, and performing feature matching and correspondence validation. The method also includes performing garment warping and alignment of the extracted garment. Additionally, the method includes overlaying and rendering the garment.

Abstract: A powered carton magazine assembly includes a lateral conveyor configured for conveying a plurality of upright folded/flat cartons in a feed direction, the lateral conveyor having a load end and an outfeed end. A picking station is located at the outfeed end of the lateral conveyor, the picking station including a downwardly angled feed path and a pick location at a lower portion of the feed path. A gating mechanism is provided at the outfeed end of the lateral conveyor for selectively controlling delivery of cartons from the lateral conveyor into the feed path. The gating mechanism may include a roller.

Abstract: A pouch feeding assembly includes a conveyor lane having a load end and a transfer end, wherein the conveyor lane includes a conveyor operable to move pouches in a conveyance direction from the load end to the transfer end, wherein the transfer end of the conveyor lane includes a downwardly facing pouch transfer window over which pouches at the transfer end are positioned. A transfer subassembly including a first transfer mechanism and a second transfer mechanism, the first transfer mechanism configured to engage a lower face of a pouch, pull at least part of the pouch down through the pouch transfer window and transfer the pouch to an infeed point of the second transfer mechanism.

Abstract: A method for populating an electronic health record, and a system configured to perform this method, comprises a step of analyzing captured raw data to classify the same according to type of health information to which it pertains; and a step of converting the raw data to a format based on input type of a data field which is associated with the classified type of health information. The method features steps of determining and displaying confidence values representative of predicted accuracies of the converted data relative to the raw data and of selection of the data field receiving the converted data; and requesting user-verification that the converted data is representative of the raw data.

Abstract: A pouch feeding assembly includes a conveyor lane having a load end and a transfer end, wherein the conveyor lane includes a conveyor operable to move pouches in a conveyance direction from the load end to the transfer end, wherein the transfer end of the conveyor lane includes a downwardly facing pouch transfer window over which pouches at the transfer end are positioned. A transfer subassembly including a first transfer mechanism and a second transfer mechanism, the first transfer mechanism configured to engage a lower face of a pouch, pull at least part of the pouch down through the pouch transfer window and transfer the pouch to an infeed point of the second transfer mechanism.