From abdul.sw84 at gmail.com Sat Jan 13 04:19:04 2018 From: abdul.sw84 at gmail.com (Abdul Abdul) Date: Sat, 13 Jan 2018 05:19:04 -0400 Subject: [Python Glasgow] Training a classifier on pairs of images rather than one image Message-ID: Hello, I hope you are doing fine, and apologize for my disturbance. I just have a question and thought you might have an idea on it. I was walking through this example , which is clear enough. My question is how can I train the network on "pairs" of images rather than single images. Say for instance that I have two classes: "similar" and "nonsimilar". Say that in the similar class I have a group of subdirectories, such that each subdirectory contains two images considered similar, and the same for the "nonsimilar" class, but each subdirectory will contain two images that are not considered similar. I'm not able to figure out how to train the example in the link above on the scenario mentioned in the above paragraph, and thought you might have an idea. Thanks so much for your kind support. -------------- next part -------------- An HTML attachment was scrubbed... URL: