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

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

Others 2021-03-21 10:16:32 views: null

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Origin 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)

ValueError: Error when checking input: expected conv2d_input to have 4 dimensions

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

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

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

Example of abnormal error: weight of size [32, 512, 1], expected input[256, 1024, 1] to have 512 channels, but got 1024

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

onnx modify the model node [change the shape of the input]

Input 0 of layer conv2d is incompatible with the layer: expected ndim=4, found ndim=3. Full shape re

numpy.array 的shape

//Input shape is aaaabbbbcc, output 4a4b2c

Shape and dimension of the array numpy 200309

Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight';

The iview input box always prompts an error when checking the number type

Image shape Bootstrap4

Numpy module implemented using an array of shape change

Numpy: Shape operation of array (Ndarray) operation

TypeError: Expected binary or unicode string, got None

ValueError: Shape must be rank 1 but is rank 0 for 'bn_conv1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64,1,1], [].

TFrecords 制作数据报错： Number of int64 values != expected. Values size: 1 but output shape: [3]

Pytorch running error: groups=1, weight of size [8, 1, 3, 3], expected input[1, 3, 512, 512] to have 1 channel

Python ValueError: Expected 1D or 2D array, got 3D array instead

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