Face photo crease repair software based on variational autoencoder
Photographs can be flawed in harsh environmental conditions,resulting in permanent damage to the content of the photo.However,with the popularity of cameras and scanners,people can now digitize their photos and fix them through a computer.In order to meet the user's application requirements for repairing photo creases containing faces,a face photo crease repair soft-ware was designed and developed by using variational autoencoder technology.The software is designed and implemented in the PyCharm development environment using Python language,and has the function of crease repair for single or batch of crease photos containing faces.After testing,the software runs stably,and the functions are simple and convenient to operate.
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