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@kwotsin I want to use the Xception model as feature extractor not for classification for my own dataset. According to my understanding to this point, i must have a pretrained model, although tensorflow has a pretrained Xception model over imagenet dataset, i can not use it, because images in my dataset do not have relationships to images in any class of imagenet. So i trained Xception model over my dataset and save model ( .ckpt and .meta files) to have a pretrained model belong to my images. My question is "How to use this saved files ( .ckpt and .meta files) to extract features of my dataset as a matrix it's rows are images and columns are features?
The text was updated successfully, but these errors were encountered:
@kwotsin I want to use the Xception model as feature extractor not for classification for my own dataset. According to my understanding to this point, i must have a pretrained model, although tensorflow has a pretrained Xception model over imagenet dataset, i can not use it, because images in my dataset do not have relationships to images in any class of imagenet. So i trained Xception model over my dataset and save model ( .ckpt and .meta files) to have a pretrained model belong to my images. My question is "How to use this saved files ( .ckpt and .meta files) to extract features of my dataset as a matrix it's rows are images and columns are features?
The text was updated successfully, but these errors were encountered: