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I recommend you to downscale the images before encoding them.
For that, I used opencv to read and downscale the image (on the fly) and encoded by face_encodings.
For my project, keeping the maximum dimension of an image at 600 worked quite well and it massively increased the speed.
Look at my code here.
I have situation where I have to match a single image among 100+ images. What I am doing is looping all images and encoding them and then comparing which is not good at all. and it is taking around 20 seconds to respond.
Can you suggest me any other good method which can be used to make the process faster.
Any Example will be a great help.
Also is there a way in which we can compare base64 encoded images?
GTX 1060
16 gb ram
I have notices
face_recognition.face_encodings
takes a lot of time, is there a way to make it bit faster?The text was updated successfully, but these errors were encountered: