Abstract: Systems, apparatus, articles of manufacture, and methods to evaluate video quality based on trained neural networks are disclosed. An example apparatus disclosed herein obtains, using a trained neural network, target features corresponding to a target video, the target features based on one or more layers of the trained neural network. The example apparatus also obtains, using the trained neural network, reference features corresponding to a reference video, the reference features based on the one or more layers of the trained neural network, the reference video associated with the target video. The example apparatus further outputs a quality metric for the target video based on the target features, the reference features, and a set of weights. In some examples, the apparatus optionally outputs an error map for the target video.

Abstract: Example methods and systems to process input/output (I/O) requests in a distributed storage system in a virtualized computing environment are disclosed. One example method includes executing a first thread to destage one or more data writes, wherein the one or more data writes correspond to a first bucket; executing a second thread to destage the one or more data deletes, wherein the one or more data deletes correspond to a second bucket; in response to executing the first thread, buffering write I/Os associated with the one or more data writes in a logical queue; in response to executing the second thread, buffering delete I/Os associated with the one or more data deletes in the logical queue; and adjusting a number of slots in the logical queue dedicated to buffer the delete I/Os based on a relationship between the first bucket and the second bucket.

Abstract: Systems, apparatuses and methods may provide for technology that determines a texture similarity between a target output image and an initial rendered image, updates one or more scene parameters to increase the texture similarity between the target output image and the initial rendered image, generates a modified rendered image based on the updated scene parameter(s), and sends the modified rendered image to one or more displays of an augmented reality (AR) headset, wherein the modified rendered image visually blends with an environmental image to obtain the target output image.

Abstract: Example methods and systems to process input/output (I/O) requests in a distributed storage system in a virtualized computing environment are disclosed. One example method includes executing a first thread to destage one or more data writes, wherein the one or more data writes correspond to a first bucket; executing a second thread to destage the one or more data deletes, wherein the one or more data deletes correspond to a second bucket; in response to executing the first thread, buffering write I/Os associated with the one or more data writes in a logical queue; in response to executing the second thread, buffering delete I/Os associated with the one or more data deletes in the logical queue; and adjusting a number of slots in the logical queue dedicated to buffer the delete I/Os based on a relationship between the first bucket and the second bucket.

Abstract: Methods and systems for generating a planogram for a retail facility include an electronic device having a display screen and a camera. After a product physically stocked on a shelf on the sales floor of the retail store and contemplated to be replaced on the shelf by a better performing product is identified, a diminished reality virtual image of the location on the shelf where the product is physically positioned (but with the product to be replaced being omitted) is generated on the display screen. A virtual list including suggested replacement products selectable to virtually replace the product is then generated on the display screen, enabling selection of a replacement product. Then, based on the selected replacement product, a planogram is generated for the retail facility, with the selected replacement product being virtually displayed at the location from which the product physically positioned on the shelf was virtually removed.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to assess quality of produce at a facility. In some embodiments, there is provided a system for assessing quality of produce at a facility including a produce assessment station configured to provide a staging area to determine a quality classification of a target produce. By one approach, the produce assessment station includes a fixed surface; a rotatable base, a first arm comprising a microphone; a second arm comprising a tapping device; and a local control circuit. In one configuration, the local control circuit configured to rotate the rotatable base at a particular angle and at a particular time interval and receive audio data from the microphone. By one approach, the system includes a plurality of sensors and a portable device configured to provide a signal to the local control circuit to initiate the quality classification of the target produce.

Abstract: Methods and systems for generating a planogram for a retail facility include an electronic device having a display screen and a camera. After a product physically stocked on a shelf on the sales floor of the retail store and contemplated to be replaced on the shelf by a better performing product is identified, a diminished reality virtual image of the location on the shelf where the product is physically positioned (but with the product to be replaced being omitted) is generated on the display screen. A virtual list including suggested replacement products selectable to virtually replace the product is then generated on the display screen, enabling selection of a replacement product. Then, based on the selected replacement product, a planogram is generated for the retail facility, with the selected replacement product being virtually displayed at the location from which the product physically positioned on the shelf was virtually removed.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to assess quality of produce at a facility. In some embodiments, there is provided a system for assessing quality of produce at a facility including a produce assessment station configured to provide a staging area to determine a quality classification of a target produce. By one approach, the produce assessment station includes a fixed surface; a rotatable base, a first arm comprising a microphone; a second arm comprising a tapping device; and a local control circuit. In one configuration, the local control circuit configured to rotate the rotatable base at a particular angle and at a particular time interval and receive audio data from the microphone. By one approach, the system includes a plurality of sensors and a portable device configured to provide a signal to the local control circuit to initiate the quality classification of the target produce.