Abstract: Provided is a traffic sign recognition method based on a lightweight neural network, which including: a lightweight neural network model is constructed for training and pruning to obtain a lightweight neural network model; the lightweight neural network model comprises a convolution feature extraction part and a classifier part; the convolution feature extraction part includes one layer of conventional 3×3 convolution and 16 layers of separable asymmetric convolution. The classifier part includes three layers of separable full connection modules.

Abstract: Provided is a traffic sign recognition method based on a lightweight neural network, which including: a lightweight neural network model is constructed for training and pruning to obtain a lightweight neural network model; the lightweight neural network model comprises a convolution feature extraction part and a classifier part; the convolution feature extraction part includes one layer of conventional 3×3 convolution and 16 layers of separable asymmetric convolution. The classifier part includes three layers of separable full connection modules.

Abstract: A method and device for automatically generating residential building plan, comprises: obtaining the standard plans of the residential buildings in each geographical region, analyzing the standard plans to obtain information on the construction area, residential unit area, unit layout, unit plan outline and functional composition and dimension corresponding to each of the standard plans as original training data; conducting training with original training data according to each geographical region in order to establish the residential building plan generative adversarial network model; receiving constraints and objective such as the target construction area, target residential unit area, target unit plan outline and target unit layout of the target residential building, generating residential unit plan model with functional zones based on the generative adversarial network model; denoising and trimming the residential unit plan model to obtain defined geometric information of residential building plan.

Abstract: The present disclosure discloses a method, device and storage medium based on standards and codes of urban planning and building design for masterplan's compliance checking. The method comprises: by getting the design information of the building group, and acquiring the urban planning and design standards and codes corresponding to the building group according to the city where the building group is located, each building corresponding to the design information of the building group is described as a geometry, determining the shortest distance between two adjacent geometries based on the corresponding geometry of each building, judging whether the shortest distance of the corresponding building complies with the building spacing standards and codes of the corresponding city's urban planning, prompt for not complying with the corresponding building spacing standards and codes, so that the user can make modification to the building group design based on the prompt.