Hi , I am making a classifier which basically scans the historical places and detects them .I am using SIFT for taking features of images and then passing them to the neural network . Features are 128 dimensional and model is trained with 97% accuracy but when i am using Single image prediction it is giving error :
    ValueError: Input 0 of layer sequential_9 is incompatible with the layer: expected axis -1 of input shape to have value 128 but received input with shape [32, 1]
It's shape is already 128 , but I don't know why it is giving an error . Kindly help me i got stucked in it for several days