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* Check if the number of elements in the input matches the model's input shape
* Trying to guess if the user used a grayscale image when 3-channels expected
* Check if the number of elements in the input matches the model's input shape
* Trying to guess if the user used a grayscale image when 3-channels expected
* Check if the number of elements in the input matches the model's input shape
* Trying to guess if the user used a grayscale image when 3-channels expected
* Check if the number of elements in the input matches the model's input shape
* Trying to guess if the user used a grayscale image when 3-channels expected
Currently, if an onnx model requires a 3-channel image but the input provided has only one channel internal onnx library exception will be thrown.
ai.onnxruntime.OrtException: Shape [1, 512, 512, 3], requires 786432 elements but the buffer has 262144 elements.
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