4results about How to "Implement modification" patented technology

The application provides a tree component rendering method and device and electronic equipment, and relates to the technical field of computers. The tree component rendering method comprises the following steps: receiving an editing input of an editing node in a tree component; in response to the editing input, acquiring a node index of the editing node and tree object data of the tree component, the tree object data comprising a component description array, an element in the component description array being node data of a node in the tree component, and the node index being used to indicate a position of the node data of the editing node in the component description array; performing an editing processing corresponding to the editing input on the tree object data based on the node index, to obtain edited tree object data; and rendering the tree component based on the edited tree object data, wherein the node data comprises component rendering data. The application improves the application flexibility of the tree component.

The utility model belongs to the field of spectrum detection, and particularly relates to a spectrum detection system based on an unmanned aerial vehicle platform. The unmanned rotorcraft is adopted as a platform, the damping support is fixed below the unmanned rotorcraft through the mounting support, the host is fixed above the unmanned rotorcraft, and when the unmanned rotorcraft is used, the probe module can rotate in the horizontal direction and the vertical direction through the first holder and the second holder; the stability of image acquisition of the probe module in the flight process of the unmanned aerial vehicle is kept, and accurate monitoring of the system on the target is realized; different heights or scene targets can be better tested; meanwhile, the display can observe data acquisition states and acquisition results in real time, information intercommunication of an interactive interface is realized, and each state can be observed; and setting, modification, storage and application of parameters are realized.

Embodiments of the present application disclose a face image generation method and device, computer equipment, a medium and a program product. A prompt text and a prompt image are obtained, parameter extraction is performed on the prompt image to obtain model parameter values for representing a target face, the model parameter values are converted to obtain first attribute features for representing internal attributes of the face, feature extraction is performed on the prompt text to obtain first text features, and a first face image is generated according to the first text features and the first attribute features. Thus, by introducing the first attribute features for representing the internal attributes of the face, the face attributes are refined into the internal attributes of the face and external attributes of the face. In the process of generating the first face image, more attention is paid to the internal attributes of the face that need to be retained and the internal attributes of the face or the external attributes of the face that need to be changed, so that the required internal attributes of the face are retained while meeting the modification requirements, and the accuracy of the generated face image is improved.

The application discloses an offline intelligent device corpus modification method, which is used for modifying the corpus in the voice control system of the offline intelligent device through a smart terminal, and mainly comprises the following steps: the smart terminal establishes communication with the offline intelligent device, the smart terminal calls the corresponding corpus library, edits the voice entries in the corpus library, generates new voice entries, and transmits the new voice entries to the offline intelligent device, and the offline intelligent device receives the new voice entries and replaces the original corresponding voice entries. Through the method, the user can modify the control corpus or the response corpus in the offline intelligent device, and the personalized needs of the user are effectively met.