Importance

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Abstract

A unit-of-one pattern creation method for bespoke garment fabrication includes loading into memory a test image of a base garment fitted on a model, processing the test image in a first convolutional neural network to generate different classifications for different portions of the base garment and flattening the different classified portions of the base garment to produce corresponding flattened patterns of the base garment. Thereafter, an image of a unique individual wearing a customer specific garment is acquired and processed in a second recurrent neural network trained with the different classifications of the first convolutional neural network. In response to the receipt of the acquired image in the second recurrent neural network, the second recurrent neural network classifies different portions of the acquired image and flattens the classified different portions of the acquired image in order to produce corresponding flattened patterns for a customized version of the base garment.

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First Claim