Abstract: A low-illuminance video processing method, a low-illuminance video processing device and a storage medium are disclosed. The method includes: acquiring a same number of preceding frame images and subsequent frame images corresponding to a current video frame of a low-illuminance video to obtain a frame image set corresponding to the current video frame, and performing traversal on the low-illuminance video to obtain frame image sets corresponding to all video frames; after performing image alignment on all frame images in the frame image sets corresponding to all video frames, inputting the frame image sets into a pre-trained low-illuminance image enhancement model to obtain enhanced frame images; and generating an enhanced video based on the enhanced frame images.

Abstract: A video coding method, a network device, and a computer-readable storage medium are disclosed. The method includes: performing reinforcement learning network training on an acquired image sequence to obtain optimized coding unit partitioning information corresponding to the image sequence; obtaining game result information corresponding to optimized coding contents according to the optimized coding contents, reference coding contents, and a preset evaluation index, with the optimized coding contents being obtained according to the optimized coding unit partitioning information, and the reference coding contents being obtained according to the image sequence; and when it is determined that the game result information meets a preset game condition, determining a coding mode corresponding to the optimized coding unit partitioning information as a video coding mode for the image sequence.

Abstract: Disclosed are a method and apparatus for training an image restoration model, an electronic device, and a computer-readable storage medium. The method for training an image restoration model includes: pre-processing training images to obtain a low-illumination image sample set (110); determining, based on low-illumination image samples in the low-illumination image sample set and the image restoration model, a weight coefficient of the image restoration model (120), wherein the image restoration model is a neural network model determined on a U-Net network and a deep residual network; and adjusting the image restoration model according to the weight coefficient, and further training the adjusted image restoration model using the low-illumination image samples until the image restoration model restores parameters of all the low-illumination image samples in the low-illumination image sample set into a preset range (130).

Abstract: The present disclosure provides a method for training an image enhancement model, the image enhancement model includes an enhancement module including convolution branches corresponding to brightness intervals; and the method includes: inputting a sample image to the image enhancement model, and acquire a result image output by the image enhancement model; calculating losses including an image loss of the result image relative to a Ground Truth image, and a first constraint loss of brightness histogram constraint of each of the convolution branches of an image output from each of the convolution branches relative to the Ground Truth image; adjusting the enhancement module according to the losses; and in a case where a training end condition is not met, returning to the operation of inputting the sample image to the image enhancement model. The present disclosure further provides an image enhancement method and a computer-readable medium.

Abstract: The disclosure discloses Oscillospiraceae sp. LBM10036 capable of utilizing multiple substrates and application thereof, and belongs to the fields of microbial technology and Baijiu brewing. The microorganism Oscillospiraceae sp. LBM10036 of the disclosure was preserved in the Guangdong Microbial Culture Collection Center on Sep. 21, 2020, with the preservation number GDMCC No. 61202. The Oscillospiraceae sp. LBM10036 of the disclosure has the capability to utilize diverse substrates and high product specificity, adapts to low pH, and can efficiently synthesize caproic acid under a pH of 5.0-5.5. The strain used in the disclosure can be used for strengthening microorganisms in pit mud, and improving the quality of degraded pit mud, to improve the quality of Strong aroma-type Baijiu, and also can be used for producing caproic acid from a variety of sugars and lactic acid by microbial fermentation.

Abstract: The disclosure discloses Oscillospiraceae sp. LBM10036 capable of utilizing multiple substrates and application thereof, and belongs to the fields of microbial technology and Baijiu brewing. The microorganism Oscillospiraceae sp. LBM10036 of the disclosure was preserved in the Guangdong Microbial Culture Collection Center on Sept. 21, 2020, with the preservation number GDMCC No. 61202. The Oscillospiraceae sp. LBM10036 of the disclosure has the capability to utilize diverse substrates and high product specificity, adapts to low pH, and can efficiently synthesize caproic acid under a pH of 5.0-5.5. The strain used in the disclosure can be used for strengthening microorganisms in pit mud, and improving the quality of degraded pit mud, to improve the quality of Strong aroma-type Baijiu, and also can be used for producing caproic acid from a variety of sugars and lactic acid by microbial fermentation.

Abstract: An electric drive axle for a vehicle includes at least one first electric vehicle drive system (1) for driving at least one vehicle wheel (11, 12) and at least one connection interface (8) for at least one power take-off (PTO). The vehicle drive system (1, 13) is coupled at least to one first double shift element (6) such that, at least in a first engagement position of the first double shift element (6), the vehicle drive system (1, 13) is drivingly coupled to at least one vehicle wheel (11, 12) and, in a second engagement position of the first double shift element (6), the vehicle drive system (1, 13) is decoupled from the at least one vehicle wheel (11, 12) and is drivingly coupled to the connection interface (8) for the power take-off (PTO). A vehicle with an electric drive axle is also provided.

Abstract: An axle drive (1) for a motor vehicle axle includes at least a first drive unit (2), a second drive unit (2), and an output axle (6). The first and second drive units (2) are arranged such that an overall center of gravity (7) of the axle drive (1) is situated proximate to a center of the output axle (6) and/or an axis of rotation of a vehicle wheel of the motor vehicle driven by the axle drive (1).

Abstract: A drive device for an electrically driven axle of a motor vehicle may include at least one electric machine, a shiftable transmission connected downstream from the at least one electric machine, and a differential coupled to the transmission for distributing drive torque to the axle. The transmission has first and second planetary gear sets connected in series. The at least one electric machine engages with an external toothing of a ring gear of the first planetary gear set. A carrier of the first planetary gear set is rotationally fixed to a sun gear of the second planetary gear set. A sun gear of the first planetary gear set is detachably couplable to a housing. A ring gear of the second planetary gear set is coupled to the housing. A carrier of the second planetary gear set is an output of the transmission. The first planetary gear set is interlockable.

Abstract: A low-illuminance video processing method, a low-illuminance video processing device and a storage medium are disclosed. The method includes: acquiring a same number of preceding frame images and subsequent frame images corresponding to a current video frame of a low-illuminance video to obtain a frame image set corresponding to the current video frame, and performing traversal on the low-illuminance video to obtain frame image sets corresponding to all video frames; after performing image alignment on all frame images in the frame image sets corresponding to all video frames, inputting the frame image sets into a pre-trained low-illuminance image enhancement model to obtain enhanced frame images; and generating an enhanced video based on the enhanced frame images.

Abstract: Disclosed are a method and apparatus for training an image restoration model, an electronic device, and a computer-readable storage medium. The method for training an image restoration model includes: pre-processing training images to obtain a low-illumination image sample set (110); determining, based on low-illumination image samples in the low-illumination image sample set and the image restoration model, a weight coefficient of the image restoration model (120), wherein the image restoration model is a neural network model determined on a U-Net network and a deep residual network; and adjusting the image restoration model according to the weight coefficient, and further training the adjusted image restoration model using the low-illumination image samples until the image restoration model restores parameters of all the low-illumination image samples in the low-illumination image sample set into a preset range (130).

Abstract: An axle drive (1) for a motor vehicle axle includes at least a first drive unit (2), a second drive unit (2), and an output axle (6). The first and second drive units (2) are arranged such that an overall center of gravity (7) of the axle drive (1) is situated proximate to a center of the output axle (6) and/or an axis of rotation of a vehicle wheel of the motor vehicle driven by the axle drive (1).

Abstract: An electrically driven axle with electrical drive units (4) arranged symmetrically around the axle body (1). The drive units having an electric machine and a transmission, and at least one spring-loaded brake (3) as a parking brake. The spring-loaded brakes (3) are arranged radially, thus enabling the spring-loaded brake (3) to be released by removing a release spindle (7) from brake cylinders of the spring-loaded brakes (3).

Abstract: An electric drive axle for a vehicle includes at least one first electric vehicle drive system (1) for driving at least one vehicle wheel (11, 12) and at least one connection interface (8) for at least one power take-off (PTO). The vehicle drive system (1, 13) is coupled at least to one first double shift element (6) such that, at least in a first engagement position of the first double shift element (6), the vehicle drive system (1, 13) is drivingly coupled to at least one vehicle wheel (11, 12) and, in a second engagement position of the first double shift element (6), the vehicle drive system (1, 13) is decoupled from the at least one vehicle wheel (11, 12) and is drivingly coupled to the connection interface (8) for the power take-off (PTO). A vehicle with an electric drive axle is also provided.

Abstract: A drive device for an electrically driven axle of a motor vehicle may include at least one electric machine, a shiftable transmission connected downstream from the at least one electric machine, and a differential coupled to the transmission for distributing drive torque to the axle. The transmission has first and second planetary gear sets connected in series. The at least one electric machine engages with an external toothing of a ring gear of the first planetary gear set. A carrier of the first planetary gear set is rotationally fixed to a sun gear of the second planetary gear set. A sun gear of the first planetary gear set is detachably couplable to a housing. A ring gear of the second planetary gear set is coupled to the housing. A carrier of the second planetary gear set is an output of the transmission. The first planetary gear set is interlockable.

Abstract: The present disclosure relates to systems and methods for determining a path of a moving vehicle. The systems may perform the methods to obtain a plurality of location points relating to a moving device; determine at least one average velocity of the moving device between two of the plurality of location points; remove at least one interfering location point from the plurality of location points based on the at least one average velocity; determine remainders of the plurality of location points as a set of effective location points based on the at least one average velocity; determine a path of the moving device based on the set of effective location points; and store data for the path of the moving device in the one or more storage media.

Abstract: A system (100) and method (300,400,500) for determining a path of a moving vehicle. The system (100) performs the method to obtain location points relating to a moving device (302); determine at least one average velocity of the moving device between two location points (304,406); remove at least one interfering location point from the location points based on the at least one average velocity (412); determine the remainders of the plurality of location points as a set of effective location points based on the at least one average velocity (306,414); determine a path of the moving device based on the set of effective location points (308); and store data for the path of the moving device in the one or more storage media.

Abstract: The present disclosure relates to systems and methods for determining a path of a moving vehicle. The systems may perform the methods to obtain a plurality of location points relating to a moving device; determine at least one average velocity of the moving device between two of the plurality of location points; remove at least one interfering location point from the plurality of location points based on the at least one average velocity; determine remainders of the plurality of location points as a set of effective location points based on the at least one average velocity; determine a path of the moving device based on the set of effective location points; and store data for the path of the moving device in the one or more storage media.

Abstract: A system (100) and method (300,400,500) for determining a path of a moving vehicle. The system (100) performs the method to obtain location points relating to a moving device (302); determine at least one average velocity of the moving device between two location points (304,406); remove at least one interfering location point from the location points based on the at least one average velocity (412); determine the remainders of the plurality of location points as a set of effective location points based on the at least one average velocity (306,414); determine a path of the moving device based on the set of effective location points (308); and store data for the path of the moving device in the one or more storage media.