Abstract: A mobile device attachment adapted for a mobile device and a container for food or liquid is provided. The mobile device attachment includes a magnetic connecting member and a connecting member. The magnetic connecting member is selectively magnetically connected to the mobile device and adapted to extend in an escaping direction. The connecting member is disposed between the container and the magnetic connecting member. The mobile device has an image capturing range. When the magnetic connecting member extends in the escaping direction, the container, the magnetic connecting member and the connecting member are located outside the image capturing range. Besides, a container including the mobile device attachment is also provided.

Abstract: Methods of treating a disease caused by a positive strand RNA virus. The methods include administering to a subject in need thereof an effective amount of a compound of Formula I or Formula II.

Abstract: A method of performing automatic tuning on a deep learning model includes: utilizing an instruction-based learned cost model to estimate a first type of operational performance metrics based on a tuned configuration of layer fusion and tensor tiling; utilizing statistical data gathered during a compilation process of the deep learning model to determine a second type of operational performance metrics based on the tuned configuration of layer fusion and tensor tiling; performing an auto-tuning process to obtain a plurality of optimal configurations based on the first type of operational performance metrics and the second type of operational performance metrics; and configure the deep learning model according to one of the plurality of optimal configurations.

Abstract: An encoder may be configured to receive a first input from a user. The encoder may include a first user input area. A configurator may be configured to communicate with the encoder and the encoder may be configured to communicate with a CPU. The encoder may receive the first input from the user at the first user input area based on an encoder configuration defined by the configurator. The encoder may communicate the first input to the CPU based on the encoder configuration defined by the configurator. A panel may be configured to receive a first input from a user. The panel may include a plurality of input areas. A portable computing device may comprise a configurator. The portable computing device may be configured to communicate with a CPU.

Abstract: An encoder may be configured to receive a first input from a user. The encoder may include a first user input area. A configurator may be configured to communicate with the encoder and the encoder may be configured to communicate with a CPU. The encoder may receive the first input from the user at the first user input area based on an encoder configuration defined by the configurator. The encoder may communicate the first input to the CPU based on the encoder configuration defined by the configurator. A panel may be configured to receive a first input from a user. The panel may include a plurality of input areas. A portable computing device may comprise a configurator. The portable computing device may be configured to communicate with a CPU.

Abstract: An encoder may be configured to receive a first input from a user. The encoder may include a first user input area. A configurator may be configured to communicate with the encoder and the encoder may be configured to communicate with a CPU. The encoder may receive the first input from the user at the first user input area based on an encoder configuration defined by the configurator. The encoder may communicate the first input to the CPU based on the encoder configuration defined by the configurator. A panel may be configured to receive a first input from a user. The panel may include a plurality of input areas. A portable computing device may comprise a configurator. The portable computing device may be configured to communicate with a CPU.

Abstract: An interactive image processing system including a first infrared camera, a second infrared camera, an image processing circuit, a vision processing unit, an image signal processor, a central processing unit, and a memory device is disclosed. The present disclosure calculates depth data according to infrared images generated by the first and second infrared cameras to improve depth quality.

Abstract: An encoder may be configured to receive a first input from a user. The encoder may include a first user input area. A configurator may be configured to communicate with the encoder and the encoder may be configured to communicate with a CPU. The encoder may receive the first input from the user at the first user input area based on an encoder configuration defined by the configurator. The encoder may communicate the first input to the CPU based on the encoder configuration defined by the configurator. A panel may be configured to receive a first input from a user. The panel may include a plurality of input areas. A portable computing device may comprise a configurator. The portable computing device may be configured to communicate with a CPU.

Abstract: An apparatus for interactive image processing including a first camera, a second camera, an image processing circuit, a vision processing unit, an image signal processor, a central processing unit, and a memory device is disclosed. The present disclosure utilizes the image processing circuit to calculate depth data according to raw images generated by the first and second cameras at the front-end of the interactive image processing system, so as to ease the burden of depth calculation by the digital signal processor in the prior art.

Abstract: A system and a method for processing images related to depth are provided. In the method, a first image sensor generates a first image. A second image sensor generates a second image. A first image processing circuit generates depth data corresponding to one or more objects identified in the first and the second image. The first image processing circuit generates a first data packet including two of the first image, the second image, and the depth data. A second image processing circuit receives the first data packet. The second image processing circuit performs stereo matching on the first image and the second image. Therefore, the efficiency of processing data could be improved.

Abstract: An apparatus for interactive image processing including a first camera, a second camera, an image processing circuit, a vision processing unit, an image signal processor, a central processing unit, and a memory device is disclosed. The present disclosure utilizes the image processing circuit to calculate depth data according to raw images generated by the first and second cameras at the front-end of the interactive image processing system, so as to ease the burden of depth calculation by the digital signal processor in the prior art.

Abstract: An apparatus for interactive image processing including a first camera, a second camera, an image processing circuit, a vision processing unit, an image signal processor, a central processing unit, and a memory device is disclosed. The present disclosure utilizes the image processing circuit to calculate depth data according to raw images generated by the first and second cameras at the front-end of the interactive image processing system, so as to ease the burden of depth calculation by the digital signal processor in the prior art.

Abstract: An interactive image processing system including a first infrared camera, a second infrared camera, an image processing circuit, a vision processing unit, an image signal processor, a central processing unit, and a memory device is disclosed. The present disclosure calculates depth data according to infrared images generated by the first and second infrared cameras to improve depth quality.

Abstract: An encoder may be configured to receive a first input from a user. The encoder may include a first user input area. A configurator may be configured to communicate with the encoder and the encoder may be configured to communicate with a CPU. The encoder may receive the first input from the user at the first user input area based on an encoder configuration defined by the configurator. The encoder may communicate the first input to the CPU based on the encoder configuration defined by the configurator. A panel may be configured to receive a first input from a user. The panel may include a plurality of input areas. A portable computing device may comprise a configurator. The portable computing device may be configured to communicate with a CPU.

Abstract: An encoder may be configured to receive a first input from a user. The encoder may include a first user input area. A configurator may be configured to communicate with the encoder and the encoder may be configured to communicate with a CPU. The encoder may receive the first input from the user at the first user input area based on an encoder configuration defined by the configurator. The encoder may communicate the first input to the CPU based on the encoder configuration defined by the configurator. A panel may be configured to receive a first input from a user. The panel may include a plurality of input areas. A portable computing device may comprise a configurator. The portable computing device may be configured to communicate with a CPU.

Abstract: A method and an electronic device for rating outfit are provided. In the method, a plurality of candidate items are received, and each two of the candidate items are paired to create a plurality of questions, where each of the questions includes two candidate items among the candidate items. The questions are respectively transmitted to a plurality of raters in a group, and a selection of each of the raters on the two candidate items in the received question is received. A number of times that each of the candidate items is selected is aggregated, and accordingly the candidate items are sorted to form a recommending series. In addition, a rating for at least one of the candidate items is received, and the raters who selected the candidate item matching the rating are searched to serve as the raters for a subsequent outfit rating.

Abstract: The present disclosure provides a method for recognition. The method includes inputting a melody and obtaining pitch tracking information of the melody; obtaining beat information of the melody; determining a clarity value according to the pitch tracking information; implementing a first comparison process first to filter a first set of candidate songs from a database and then implementing a second comparison process to filter a second set of candidate songs from the first set of candidate songs if the clarity value is larger than a predetermined threshold; and determining at least one final candidate song from the second set of candidate songs.

Abstract: The present disclosure provides a method for recognition. The method includes inputting a melody and obtaining pitch tracking information of the melody; obtaining beat information of the melody; determining a clarity value according to the pitch tracking information; implementing a first comparison process first to filter a first set of candidate songs from a database and then implementing a second comparison process to filter a second set of candidate songs from the first set of candidate songs if the clarity value is larger than a predetermined threshold; and determining at least one final candidate song from the second set of candidate songs.