1. A method for generating a neural network model for body relationship estimation, comprising: obtaining at least one training picture; calculating a first body relationship feature of two persons according to first location information of a body part of each person of the two persons in each picture of the at least one training picture and second location information of body parts of the two persons, the first location information being obtained by performing single-person gesture estimation on each person, and the second location information being obtained by performing two-person joint gesture estimation on the two persons when the first location information indicates that the body parts of the two persons overlap; and determining the neural network model according to the first body relationship feature and a preset body relationship between the two persons.