Method for generating human face from human eyes based on self-attention mechanism
A technology of attention and human eyes, which is applied in the fields of computer vision, deep learning and public security, can solve problems such as low recognition rate, unsatisfactory recognition effect, difficulty in searching and locking criminals, and achieve great application prospects, The effect of improving the recognition rate
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[0032] The present invention will be further described below in conjunction with accompanying drawing:
[0033] Such as figure 1 As shown, a method of generating a face from human eyes based on a self-attention mechanism has the following working steps:
[0034] Step 1: Dataset creation, based on the face images in the public face dataset, construct a dataset that generates faces from human eyes;
[0035] Step 2: Network model training. Self-attention mechanism Generative Adversarial Networks (GANs) will be trained on the data set constructed in step 1, and the model training will be completed through multiple rounds of parameter adjustment;
[0036] Step 3: Human eye image preprocessing, that is, extracting the human eye part in the face image according to the requirements, and normalizing it;
[0037]Step 4: Generate a human face from the human eye, and input the human eye image preprocessed in step 3 into the trained neural network model in step 2 to complete the generati...
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