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把YOLOv3整个模型(模型和参数)训练好了保存之后,再加载之后预测的结果shape变了。不保存直接推断是3个元素的tensor。而现在是6个元素的tensor。如下:
对于一张图片的预测 训练完直接预测的输出(只有一个类别)shape [1 52 52 3 6] [1 26 26 3 6] [1 13 13 3 6]
通过加载保存好的整个模型预测的输出(只有一个类别)shape [1 52 52 18] [1 26 26 3 6] [1 13 13 18] [1 52 52 3 6] [1 26 26 3 6] [1 13 13 18]
我使用的 Tensorflow2.2 GPU版本 Ubuntu16.04LTS
The text was updated successfully, but these errors were encountered:
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把YOLOv3整个模型(模型和参数)训练好了保存之后,再加载之后预测的结果shape变了。不保存直接推断是3个元素的tensor。而现在是6个元素的tensor。如下:
对于一张图片的预测
训练完直接预测的输出(只有一个类别)shape
[1 52 52 3 6]
[1 26 26 3 6]
[1 13 13 3 6]
通过加载保存好的整个模型预测的输出(只有一个类别)shape
[1 52 52 18]
[1 26 26 3 6]
[1 13 13 18]
[1 52 52 3 6]
[1 26 26 3 6]
[1 13 13 18]
我使用的 Tensorflow2.2 GPU版本 Ubuntu16.04LTS
The text was updated successfully, but these errors were encountered: