April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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Getting ready
First, download the pre-trained FaceNet model from https://drive.google.com/drive/folders/12aMYASGCKvDdkygSv1yQq8ns03AStDO_. Then, extract the model to the models folder. Download the images of the six mathematicians from the internet (you can use an automated script from https://github.com/hardikvasa/google-images-download). Download 20 images for each mathematician and for each mathematician, put 12 images in the train folder and the other 8 images in the test folder, as in the following screenshot (the test folder will also contain sub-folders with the mathematicians' names):
Import the necessary Python libraries using the ...
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