Image processing method, device and equipment and storage medium

The invention relates to an image processing method, device and equipment and a storage medium, and is applied to terminal equipment or a server, and the method comprises the steps: obtaining the weight data and input image data of a target convolution layer in a pre-trained convolutional neural network; mapping the weight data and the input image data of the target convolution layer to a set threshold interval, and respectively obtaining a weight quantized value and a weight scaling scale corresponding to the weight data, and an image quantized value and an image scaling scale corresponding to the input image data; and obtaining image feature data output by the target convolution layer according to a convolution operation result of the weight quantized value and the image quantized valueof the target convolution layer, the weight scaling scale and the image scaling scale. According to the invention, only the target convolution layer in the neural network is quantized, the model sizeis reduced, the image proc