Abstract: This application discloses a human attribute recognition method performed at a computing device. The method includes: determining a human body region image in a surveillance image; inputting the human body region image into a multi-attribute convolutional neural network model, to obtain, for each of a plurality of human attributes in the human body region image, a probability that the human attribute corresponds to a respective predefined attribute value, the multi-attribute convolutional neural network model being obtained by performing multi-attribute recognition and training on a set of pre-obtained training images by using a multi-attribute convolutional neural network; determining, for each of the plurality of human attributes in the human body region image, the attribute value of the human attribute based on the corresponding probability; and displaying the attribute values of the plurality of human attributes next to the human body region image.

Abstract: A method for preparing an organic boron fertilizer for engineering wound soil remediation includes a step of: effectively compounding at least one of chitin oligosaccharide, wormcast and silkworm excrement, at least one of water and hydrogen peroxide, an organic boron element solution, sodium alkyl benzene sulfonate and polysorbate under certain conditions. The present invention has significant effects on improving physical and chemical properties of engineering wound soil, enhancing availability of boron element in the soil, preventing plants from physiological diseases caused by lack of boron, and promoting growth and development of the plants.

Abstract: This application discloses a human attribute recognition method performed at a computing device. The method includes: determining a human body region image in a surveillance image; inputting the human body region image into a multi-attribute convolutional neural network model, to obtain, for each of a plurality of human attributes in the human body region image, a probability that the human attribute corresponds to a respective predefined attribute value, the multi-attribute convolutional neural network model being obtained by performing multi-attribute recognition and training on a set of pre-obtained training images by using a multi-attribute convolutional neural network; determining, for each of the plurality of human attributes in the human body region image, the attribute value of the human attribute based on the corresponding probability; and displaying the attribute values of the plurality of human attributes next to the human body region image.

Abstract: A method for preparing an organic boron fertilizer for engineering wound soil remediation includes a step of: effectively compounding at least one of chitin oligosaccharide, wormcast and silkworm excrement, at least one of water and hydrogen peroxide, an organic boron element solution, sodium alkyl benzene sulfonate and poly sorbite under certain conditions. The present invention has significant effects on improving physical and chemical properties of engineering wound soil, enhancing availability of boron element in the soil, preventing plants from physiological diseases caused by lack of boron, and promoting growth and development of the plants.