Image processing method, network model training method, equipment and medium

The invention provides an image processing method, a network model training method, electronic equipment and a storage medium, and relates to the technical field of image processing. The image processing method comprises the following steps: extracting semantic features of an obtained input image to obtain a feature map corresponding to the input image; performing position prediction on the feature map corresponding to the input image to obtain a to-be-processed image; performing grid motion prediction on the to-be-processed image based on the residual progressive regression network model to obtain a to-be-matched image; and matching the to-be-matched image with a preset grid to obtain a target image. According to the method, deviation information in a to-be-processed image is adjusted based on a residual error progressive regression network model, the consistency of image content is improved, and abnormalities such as irregular boundaries and picture distortion occurring in image splicing are reduced, so tha