Image feature extraction method for garment image retrieval
A technology of image features and image retrieval, applied in still image data retrieval, neural learning methods, still image data query, etc., can solve the problem of low accuracy of Top1
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[0037] An image feature extraction method for clothing image retrieval is characterized by the following steps:
[0038] (1) Design as figure 1 The deep learning model shown in the figure; the light blue filled box in the figure represents the data, the number in it represents the dimension of the data, the green frame represents the operation on the data, the arrow represents the data flow, the red part represents the loss function; the input of the network contains images Data, image key point position collection and image attribute information collection, respectively denoted as B, P, A; B represents the original data of the image, which can be regarded as a three-dimensional matrix, and the three-dimensional represents the number of image channels, image height and image width respectively; P= {P 1 ,..., P i ,..., P m } Represents the set of image key point coordinates, where m represents the number of key points, P i =(x i , Y i ) Represents the position of the i-th key point...
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