Client image processing method and system based on improved convolutional neural network

The invention discloses a client image processing method and system based on an improved convolutional neural network, and the method comprises the steps: S1, enabling a client to receive a video frame image, and carrying out the preprocessing of the video frame image; s2, adjusting the structural parameters of the convolutional neural network, namely adjusting the number of convolutional layers and the number of channels of the convolutional neural network according to the CPU clock frequency # imgabs0 # of the client equipment acquired in real time and in combination with the CPU kernel number # imgabs1 # so as to adapt to the calculation and memory resource limitation of the equipment; s3, inputting the preprocessed video frame image into the adjusted convolutional neural network; and S4, classifying the video frame images into corresponding content category databases according to the video frame image marks. According to the method, the equipment performance information is acquired in real time, and the s