Convolutional neural network model training method and device and computer readable storage medium

Abstract

The invention discloses a convolutional neural network model training method and device, an electronic device and a computer readable storage medium. The method comprises: establishing a convolutional neural network, a convolutional layer of the convolutional neural network comprising a plurality of parallel convolutional cores, and each convolutional core corresponding to one training channel; inputting the training sample set into a convolutional neural network, and independently training each training channel until respective convergence conditions are met to obtain a convolutional neural network model comprising a plurality of training channels; the plurality of training channels being respectively used for predicting a plurality of feature data associated with the target area. According to the embodiment of the invention, the training sample set is trained through the plurality of parallel training channels, the convolutional neural network model obtained through training comprises a plurality of training channels, and the plurality of training channels are respectively used for predicting a plurality of feature data associated with the target area, so that more features associated with the target area can be obtained, and the target area determination accuracy can be improved.

Description

technical field

[0001] The present disclosure relates to the technical field of convolutional neural network model training, in particular to a convolutional neural network model training method, device and computer-readable storage medium. Background technique

[0002] Many of the captured video images contain cars, and the images containing cars generally include license plates. Since the license plate involves privacy, it is necessary to process the license plate in the video image or use other images to cover the license plate. When processing the image containing the license plate, it is the key to recognize the license plate area in the image.

[0003] For the recognition of the license plate area in the prior art, a model is generally used to judge whether each pixel in the license plate is foreground or background, wherein the foreground is the license plate area to be recognized, and the background refers to the area in the image except the license plate. But using...

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