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你好,我把train.ipynb文件转成.py文件后,参数BatchSize = 8 NumChannels = 3 ImgHeight = 256 ImgWidth = 256 NumClass = 1其中修改处为图片尺寸256,BatchSize8。运行出现错误InvalidArgumentError: Incompatible shapes: [8,256,256,1] vs. [8,256,256,1,3],[[Node: metrics/iou/sub_1 = Sub[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Classification/Sigmoid, metrics/iou/Round_2)]]. 请问您有遇到过此情况吗?(刚接触深度学习,很多地方不懂,网上未找到相似问题,不得已问您,求赐教)
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你好,我把train.ipynb文件转成.py文件后,参数BatchSize = 8 NumChannels = 3 ImgHeight = 256 ImgWidth = 256 NumClass = 1其中修改处为图片尺寸256,BatchSize8。运行出现错误InvalidArgumentError: Incompatible shapes: [8,256,256,1] vs. [8,256,256,1,3],[[Node: metrics/iou/sub_1 = Sub[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Classification/Sigmoid, metrics/iou/Round_2)]]. 请问您有遇到过此情况吗?(刚接触深度学习,很多地方不懂,网上未找到相似问题,不得已问您,求赐教)
The text was updated successfully, but these errors were encountered: