when checking input expected input_image_meta to have shape (None,14)but got array with shape (1,15) - 代码天地

when checking input expected input_image_meta to have shape (None,14)but got array with shape (1,15)

其他 2021-03-21 04:52:34 阅读次数: 0

ValueError: Error when checking input: expected input_image_meta to have shape (None, 14) but got array with shape (1, 15)

跑maskrcnn 时无论是什么框架，目前比较新的代码，都会默认在类别里加背景，不需要自己单独增加，遇到这个错误有两种可能

代码比较老，代码里的类别数 = 你标注的类别 + 1 （这个1是背景）
在1已经改了的情况下还报错，那就还有一种较小的可能，就是比如你的实际类别是5类，而验证集里面实际并没有5个类，你需要补充一个带有缺失那一类的样本

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转载自blog.csdn.net/qq_20373723/article/details/114692976

when checking input expected input_image_meta to have shape (None,14)but got array with shape (1,15)

Error when checking input: expected input_1 to have 3 dimensions, but got array with shape (37, 30）

expected dense_10_input to have shape (13,) but got array with shape (1,)

ValueError: Input 0 is incompatible with layer decoder_or_generator: expected shape=(None, 4, 4, 1)

python各种问题:'NoneType' object has no attribute 'shape';Expected 2D array, got 1D array instead:

ValueError: could not broadcast input array from shape (22500,3) into shape (1)

ValueError: could not broadcast input array from shape

ValueError: Expected more than 1 value per channel when training, got input size ...

ValueError: Expected more than 1 value per channel when training, got input size torch.Size

Expected more than 1 value per channel when training, got input size torch.Size

讲解Expected more than 1 value per channel when training, got input size torch.Size

ValueError:could not broadcast input array from shape (450,600,3) into shape (64,64,3)

ValueError: Expected more than 1 value per channel when training, got input size [1, 512, 1, 1]

pytorch报错：ValueError: Expected more than 1 value per channel when training, got input size [1,8,1,1]

Expected more than 1 value per channel when training, got input size torch.Size([1, 9, 1, 1])

解决ValueError: Expected more than 1 value per channel when training, got input size [1, 256, 1, 1]

ValueError: Expected more than 1 value per channel when training, got input size [1, 16, 1, 1]（解决方案）

pytorch报错：ValueError: Expected more than 1 value per channel when training, got input size [1, 768,1

ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 2, 1

ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 8, 1

厘清Keras中的shape-unit-input-shape-input-dim

异常错误示例：weight of size [32, 512, 1], expected input[256, 1024, 1] to have 512 channels, but got 1024

python3 ValueError: The shape of the input to "Flatten" is not fully defined (got (0, 6, 80)

【report】tf-faster-rcnn 运行自己的训练数据 could not broadcast input array from shape (4) into shape (0)

SNIPER-MXNet中出现ValueError: could not broadcast input array from shape (XXX,5) into shape (100,5)

RuntimeError: shape '[64, 1, 1, 1]' is invalid for input of size 6400

如何理解keras中的shape/input_shape

RuntimeError: shape ‘[-1, 784]‘ is invalid for input of size 68076

解决ValueError: bad input shape (xxxx, x)

模型构建时的input_shape

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