faster_rcnn运行webcamtest出错之分析

最新推荐文章于 2024-03-06 15:33:50 发布

原创最新推荐文章于 2024-03-06 15:33:50 发布 · 913 阅读

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#神经网络 #深度学习 #pytorch #机器学习

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本文详细解析了在加载预训练模型时遇到的参数维度不匹配错误，并提供了具体的解决方案，指出推理时SCALES数量应与训练时保持一致。

RuntimeError: Error(s) in loading state_dict for vgg16:
   While copying the parameter named "RCNN_rpn.RPN_cls_score.bias", whose dimensions in the model are torch.Size([18]) and whose dimensions in the checkpoint are torch.Size([24]).
   While copying the parameter named "RCNN_rpn.RPN_cls_score.weight", whose dimensions in the model are torch.Size([18, 512, 1, 1]) and whose dimensions in the checkpoint are torch.Size([24, 512, 1, 1]).
   While copying the parameter named "RCNN_rpn.RPN_bbox_pred.bias", whose dimensions in the model are torch.Size([36]) and whose dimensions in the checkpoint are torch.Size([48]).
   While copying the parameter named "RCNN_rpn.RPN_bbox_pred.weight", whose dimensions in the model are torch.Size([36, 512, 1, 1]) and whose dimensions in the checkpoint are torch.Size([48, 512, 1, 1]).
   While copying the parameter named "RCNN_cls_score.bias", whose dimensions in the model are torch.Size([21]) and whose dimensions in the checkpoint are torch.Size([81]).
   While copying the parameter named "RCNN_cls_score.weight", whose dimensions in the model are torch.Size([21, 4096]) and whose dimensions in the checkpoint are torch.Size([81, 4096]).
   While copying the parameter named "RCNN_bbox_pred.bias", whose dimensions in the model are torch.Size([84]) and whose dimensions in the checkpoint are torch.Size([324]).
   While copying the parameter named "RCNN_bbox_pred.weight", whose dimensions in the model are torch.Size([84, 4096]) and whose dimensions in the checkpoint are torch.Size([324, 4096]).