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This repository has been archived by the owner on Oct 16, 2019. It is now read-only.
Dear Cedric, thank you so much for this repo, it's been very very helpful. I am using a ResNet18 model for binary classification on my android app, I also made some changes on java code to capture a still image instead of a preview. I am stuck at pre-processing the images. In my original PyTorch code I had:
I see in the cpp code some means b_mean = 104.00, g_mean = 116.66 and r_mean = 122.67. I'm not sure what these means are and what is the processing happening in the snippet below. I need help to preprocess the images, for now my output doesn't make sense at all. Thank you so much for help.
Dear Cedric, thank you so much for this repo, it's been very very helpful. I am using a ResNet18 model for binary classification on my android app, I also made some changes on java code to capture a still image instead of a preview. I am stuck at pre-processing the images. In my original PyTorch code I had:
I see in the cpp code some means
b_mean = 104.00
,g_mean = 116.66
andr_mean = 122.67
. I'm not sure what these means are and what is the processing happening in the snippet below. I need help to preprocess the images, for now my output doesn't make sense at all. Thank you so much for help.The text was updated successfully, but these errors were encountered: