Abstract: A dynamic straightening method for a left/right tilt. The method includes: drawing an unevenness curve according to a distance from a shapemeter to a surface of a plate, where there are a plurality of unevenness curves; using a barycentric formula to obtain a first barycentric coordinate of each unevenness curve; calculating a tilt value of a straightening roll corresponding to each unevenness curve according to the first barycentric coordinate of each unevenness curve; determining an unevenness curve of a current straightening roll; adjusting the straightening roll according to the tilt value of the straightening roll corresponding to the unevenness curve, to straighten the plate; and going back to the step of determining an unevenness curve of a current straightening roll until the plate is totally straightened. Such method improves plate straightening accuracy by dynamically adjusting parameters of the straightening roll.

Abstract: The present disclosure relates to an image processing method and apparatus, an electronic device and a storage medium. The method includes performing feature extraction on an image to be processed to obtain a first feature map of the image to be processed and performing weight prediction on the first feature map to obtain a weight feature map of the first feature map. The weight feature map includes weight values of feature points in the first feature map. The method further includes performing feature value adjustment on the feature points in the first feature map based on the weight feature map to obtain a second feature map and determining a processing result of the image to be processed according to the second feature map. Embodiments of the present disclosure may improve the image processing accuracy.

Abstract: Disclosed are methods, apparatuses and systems for CNN network adaption and object online tracking. The CNN network adaption method comprises: transforming a first feature map into a plurality of sub-feature maps, wherein the first feature map is generated by the pre-trained CNN according to a frame of the target video; convolving each of the sub-feature maps with one of a plurality of adaptive convolution kernels, respectively, to output a plurality of second feature maps with improved adaptability; training, frame by frame, the adaptive convolution kernels.

Abstract: The disclosure discloses an adaptive lining structure of a tunnel in complex environment and a construction method thereof, and relates to the technical field of tunnel construction, comprising a lining, a pressure regulating layer and a connecting cylinder; wherein the pressure regulating layer is provided between the lining and a surrounding rock; and the connecting cylinder is provided in the tunnel and runs through the top of the lining. The adaptive lining structure of a tunnel in complex environment and the construction method in the disclosure are simple in structure, reasonable in design and convenient for efficient construction; it can deal with engineering problems such as lining cracking caused by high internal water and high external water in the tunnel, and can ensure the safety of tunnel lining in different periods.

Abstract: A method and apparatus for positioning a description statement in an image includes: analyzing a to-be-analyzed description statement and a to-be-analyzed image to obtain a plurality of statement attention weights of the to-be-analyzed description statement and a plurality of image attention weights of the to-be-analyzed image; obtaining a plurality of first matching scores based on the plurality of statement attention weights and a subject feature, a location feature and a relationship feature of the to-be-analyzed image; obtaining a second matching score between the to-be-analyzed description statement and the to-be-analyzed image based on the plurality of first matching scores and the plurality of image attention weights; and determining a positioning result of the to-be-analyzed description statement in the to-be-analyzed image based on the second matching score.

Abstract: The present disclosure relates to a network optimization method and apparatus, an image processing method and apparatus, and a storage medium. The network optimization method includes: obtaining an image sample group; obtaining a first feature and a second feature of an image in the image sample group, and obtaining a first classification result by using the first feature of the image; performing feature exchange processing on an image pair in the image sample group to obtain a new image pair; obtaining a first loss value of the first classification result, a second loss value of the new image pair, and a third loss value of first features and second features of the new image pair in a preset manner; and adjusting parameters of a neural network at least according to the first loss value, the second loss value, and the third loss value until a preset requirement is met.

Abstract: Provided is a compression molding die. The die can be used for compression molding an I-shaped part without the need for machining. The molding die comprises: an outer mold with an inner diameter of d; an upper pressing disc, a lower pressing disc and a huff mold with the same outer diameter of d and the same inner diameter of f; an upper mold; a lower mold; and a core mold with a diameter of h. The upper pressing disc, the huff mold and the lower pressing disc, which are movable vertically, are arranged in the outer mold in a vertically spaced manner; the vertically movable upper mold extends into the upper pressing disc, and the vertically movable lower mold extends into the lower pressing disc; the outer mold, the upper mold, the upper pressing disc, the huff mold, the lower pressing disc and the lower mold define a cavity.

Abstract: An object detection method, a neural network training method, an apparatus, and an electronic device include: obtaining, through prediction, multiple fused feature graphs from images to be processed, through a deep convolution neural network for target region frame detection, obtaining multiple first feature graphs from a first subnet having at least one lower sampling layer, obtaining multiple second feature graphs from a second subnet having at least one upper sampling layer, and obtaining fused graph by fusing multiple first feature graphs and multiple second feature graphs respectively; and obtaining target region frame data according to the multiple fused feature graphs. Because the fused feature graphs better represent semantic features on high levels and detail features on low levels in images, target region frame data of big and small objects in images can be effectively extracted according to the fused feature graphs, thereby improving accuracy and robustness of object detection.

Abstract: The disclosure discloses an adaptive lining structure of a tunnel in complex environment and a construction method thereof, and relates to the technical field of tunnel construction, comprising a lining, a pressure regulating layer and a connecting cylinder; wherein the pressure regulating layer is provided between the lining and a surrounding rock; and the connecting cylinder is provided in the tunnel and runs through the top of the lining. The adaptive lining structure of a tunnel in complex environment and the construction method in the disclosure are simple in structure, reasonable in design and convenient for efficient construction; it can deal with engineering problems such as lining cracking caused by high internal water and high external water in the tunnel, and can ensure the safety of tunnel lining in different periods.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for analyzing a log file. The method may include: determining, based on a plurality of reference patterns, corresponding patterns for a plurality of log records in the log file. The method may further include: respectively determining the plurality of log records as a plurality of log identifiers corresponding to the corresponding patterns. The method further includes: determining, from the plurality of log identifiers, a log identifier to be analyzed corresponding to a predetermined event. In addition, the method may further include: selecting a target reference log identifier from a plurality of reference log identifiers corresponding to the plurality of reference patterns, wherein a first similarity between the target reference log identifier and the log identifier to be analyzed is higher than a first threshold similarity.

Abstract: A pedestrian re-identification method includes: obtaining a target video containing a target pedestrian and at least one candidate video; encoding each target video segment in the target video and each candidate video segment in the at least one candidate segment separately; determining a score of similarity between the each target video segment and the each candidate video segment according to encoding results, the score of similarity being used for representing a degree of similarity between pedestrian features in the target video segment and the candidate video segment; and performing pedestrian re-identification on the at least one candidate video according to the score of similarity.

Abstract: The method for vehicle appearance feature recognition includes: multiple region segmentation results of a target vehicle are obtained from an image to be recognized; global feature data and multiple pieces of region feature data are extracted from the image to be recognized based on the multiple region segmentation results; and the global feature data and the multiple pieces of region feature data are fused to obtain appearance feature data of the target vehicle.

Abstract: The method for vehicle appearance feature recognition includes: multiple region segmentation results of a target vehicle are obtained from an image to be recognized; global feature data and multiple pieces of region feature data are extracted from the image to be recognized based on the multiple region segmentation results; and the global feature data and the multiple pieces of region feature data are fused to obtain appearance feature data of the target vehicle.

Abstract: A method for identifying a target, a non-transitory computer-readable storage medium, and an electronic device include: acquiring a first image and a second image, the first image and the second image each including a target to be determined; generating a prediction path based on the first image and the second image, both ends of the prediction path respectively corresponding to the first image and the second image; and performing validity determination on the prediction path and determining, according to a determination result, whether the targets to be determined in the first image and the second image are the same target to be determined.

Abstract: A method for identifying a target, a non-transitory computer-readable storage medium, and an electronic device include: acquiring a first image and a second image, the first image and the second image each including a target to be determined; generating a prediction path based on the first image and the second image, both ends of the prediction path respectively corresponding to the first image and the second image; and performing validity determination on the prediction path and determining, according to a determination result, whether the targets to be determined in the first image and the second image are the same target to be determined.

Abstract: An advanced monitoring device and an implementation method for a whole-process deformation curve of a surrounding rock during tunnel excavation is disclosed, comprising a steel pipe elastic body, a cathetometer structure and an embedded optical fiber, and an implementation step; the cathetometer is an equidistant series structure, and fixed in the steel pipe; the embedded optical fiber is encapsulated in the surface slot of the steel pipe; the cathetometer and the embedded optical fiber and the steel pipe form a deformation coordination structure, and the deformation of the surrounding rock can be deduced by calculating the variation of the cathetometer and the deformation of the optical fiber. The invention can test and calculate the deformation curve of the surrounding rock in front of the excavation face during tunnel excavation, and provide support for engineering dynamic design, construction and safety.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for analyzing a log file. The method may include: determining, based on a plurality of reference patterns, corresponding patterns for a plurality of log records in the log file. The method may further include: respectively determining the plurality of log records as a plurality of log identifiers corresponding to the corresponding patterns. The method further includes: determining, from the plurality of log identifiers, a log identifier to be analyzed corresponding to a predetermined event. In addition, the method may further include: selecting a target reference log identifier from a plurality of reference log identifiers corresponding to the plurality of reference patterns, wherein a first similarity between the target reference log identifier and the log identifier to be analyzed is higher than a first threshold similarity.