A gait recognition system and method based on deep learning of self-attention mechanism
A technology of gait recognition and deep learning, which is applied in the field of gait recognition system of deep learning, can solve problems such as insufficient expressive ability and single information, and achieve the effect of enhancing expressive ability and reducing noise
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[0074]The network model is trained using the stochastic gradient descent method, and the parameters are set as follows: batchsize is 64, baselearning rate is 0.01, weight decay is set to 0.0005, and the learning rate is reduced by 10 times every 10k times. Does not set any form of data augmentation, including cropping, flipping, etc. Initialize with the weights of a well-learned basic network, and the new layer is relearned and trained with fine-tuning.
[0075] The training specifically includes the following sub-steps:
[0076] (1) Each batch of training includes 64 images;
[0077] (2) Using the pre-trained model as the initial parameter of the network, after inputting the training samples into the network, forward propagation calculates the values of each layer of the network;
[0078] (3) If the predetermined total number of iterations is not reached, then continue to step (4), otherwise end the training; wherein, the predetermined total number of iterations is 35000;...
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