Open ChangErgou opened 5 years ago
The settings are the same as PyTorch pretrained model:
All pre-trained models expect input images normalized in the same way, i.e. mini-batches of 3-channel RGB images of shape (3 x H x W), where H and W are expected to be at least 224. The images have to be loaded in to a range of [0, 1] and then normalized using mean = [0.485, 0.456, 0.406] and std = [0.229, 0.224, 0.225]. You can use the following transform to normalize:
thanks a lot. changzhonghan16 Email:changzhonghan16@mails.ucas.ac.cn Signature is customized by Netease Mail Master On 01/08/2019 04:38, Hang Zhang wrote: The settings are the same as PyTorch pretrained model: All pre-trained models expect input images normalized in the same way, i.e. mini-batches of 3-channel RGB images of shape (3 x H x W), where H and W are expected to be at least 224. The images have to be loaded in to a range of [0, 1] and then normalized using mean = [0.485, 0.456, 0.406] and std = [0.229, 0.224, 0.225]. You can use the following transform to normalize: — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or mute the thread.
What is the image format for resent? RGB or BGR?