Abstract: The disclosure provides a video processing method, an apparatus, an electronic device, a computer readable storage medium, a computer program product and a computer program. The method includes: obtaining a video edit draft, the video edit draft being used to record an initial multimedia material and indication information of a first video editing operation for the initial multimedia material, the initial multimedia material comprising a video material and/or an image material; extracting the initial multimedia material from the video edit draft; determining, based on the initial multimedia material, a target edit template that matches the initial multimedia material, the target edit template being used to record indication information of a second video editing operation; and processing, based on the target edit template, the initial multimedia material according to the second video editing operation, to obtain a first target video having an editing effect of the second video editing operation.

Abstract: The present disclosure provides a method and system for predicting pile tip resistance based on a damage constitutive model of mudstone and relates to the technical field of geotechnical engineering. In view of the existing problem of difficult calculation of quantitative analysis on the bearing performance of a dynamic driven pile of a mudstone foundation and the damage characteristics of mudstone around the pile, a damage constitutive model of mudstone with a damage variable D determined based on a stress state and associated with a rock failure criterion is established; model parameters are determined based on results of a triaxial test; a relationship between a critical damage variable and a confining pressure is established; and the damage characteristics of the mudstone around the dynamic driven pile are analyzed, whereby pile tip resistance is calculated. The requirements of quantitative analysis on the damage characteristics of a pile tip are met.

Abstract: A control method includes obtaining three-dimensional (3D) spatial information of a target crop area planted with a plurality of target crops; determining spraying control information based on the 3D spatial information; and controlling a spraying unmanned aerial vehicle (UAV) to perform spraying on the plurality of target crops based on the spraying control information. The spraying control information includes a spraying mode for controlling the spraying UAV to perform spraying on one target crop of the plurality of target crops, and the spraying mode includes a flight mode.

Abstract: A vision-based positioning method includes extracting first features from a first image and second features from a second image, determining initial matching pairs according to the first features and the second features, extracting satisfying matching pairs that meet a requirement from the initial matching pairs according to an affine transformation model, and determining a position-attitude change according to the satisfying matching pairs. The first image and the second image are obtained by a vision sensor carried by an aerial vehicle. The position-attitude change indicates a change from a position-attitude of the vehicle when the vision sensor captures the first image to a position-attitude of the vehicle when the vision sensor captures the second image.

Abstract: A three-dimensional (3D) reconstruction system based on aerial photography includes an unmanned aerial vehicle (UAV), a ground station, and a cloud server. The ground station is configured to determine an aerial photography parameter for indicating an aerial photography state of the UAV based on a user operation and transmit the aerial photography parameter to the UAV. The UAV is configured to receive the aerial photography parameter transmitted by the ground station; fly based on the aerial photography parameter and control an imaging device carried by the UAV to acquire aerial images during a flight; and transmit the aerial images to the cloud server. The cloud server is configured to receive the aerial images and generate a 3D model of a target area based on the aerial images.