From 8791b4f2c0ec12ac184a7313cf617049c13cc52e Mon Sep 17 00:00:00 2001 From: zhanghuan <1262329256@qq.com> Date: Mon, 22 Sep 2025 13:59:05 +0800 Subject: [PATCH] =?UTF-8?q?pretrained=3Dpretrained,=E8=A7=A3=E5=86=B3?= =?UTF-8?q?=E9=A2=84=E8=AE=AD=E7=BB=83=E6=A8=A1=E5=9E=8BAPI=E5=8F=98?= =?UTF-8?q?=E5=8C=96=E5=AF=BC=E8=87=B4=E7=9A=84=E8=AD=A6=E5=91=8A=E3=80=82?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- net/resnet_embedding.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/net/resnet_embedding.py b/net/resnet_embedding.py index 9f8175d..7d8c952 100644 --- a/net/resnet_embedding.py +++ b/net/resnet_embedding.py @@ -28,8 +28,11 @@ class ResNet50EmbeddingNet(nn.Module): self.embedding_dim = embedding_dim self.use_internal_preprocess = use_internal_preprocess - # 加载预训练的ResNet50 - self.backbone = models.resnet50(pretrained=pretrained) + # 加载预训练的ResNet50 (使用新的weights参数) + if pretrained: + self.backbone = models.resnet50(weights=models.ResNet50_Weights.IMAGENET1K_V1) + else: + self.backbone = models.resnet50(weights=None) # 获取ResNet50最后一层的输入特征数(2048) backbone_output_dim = self.backbone.fc.in_features