The invention discloses a human body posture estimation method, device and equipment and a storage medium, and relates to the technical field of computers, in particular to the technical field of image processing. According to the specific implementation scheme, a to-be-estimated picture is input into a pre-trained deep learning network, a depth map corresponding to the to-be-estimated picture andkey point thermodynamic diagrams corresponding to all limb parts, which are output by the deep learning network, are obtained, two-dimensional information of the key points of the limb parts is determined according to the key point thermodynamic diagrams, depth information of the key points is determined according to the depth map, and the two-dimensional information and the depth information ofthe key points are output as a human body posture estimation result. The depth map and the key point thermodynamic diagram are output through the deep learning network, the three-dimensional information including the two-dimensional information and the depth information is obtained according to the depth map and the key point thermodynamic diagram, comprehensive understanding of the human body posture is achieved, and the accuracy of human body posture estimation is improved.