1. 使用ResNet作为特征提取层实现一个二分类目标分类器 - 程序部分 1.1 程序2.13(完整代码) import tensorflow as tf resnet_layer = tf.keras.applications.resnet50.ResNet50(weights='imagenet',include_top =False,pooling = False) ### 载入resnet模型和参数 ## 使用全局池化层进行数据压缩 flatten_layer...
datalaoders_dict = {'train':train_loader, 'val':val_loader} # from pyretri.models.backbone.backbone_impl.reid_baseline import ft_net_own # path_file = '/data/nextcloud/dbc2017/files/jupyter/model/resnet50-19c8e357.pth' # model = ft_net_own(progress=True) model = torch.hub.load('...