size of integral window with varying scale factor in cascade classifier

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How is the number of windows (integral window) related to he scaling factor factor of the cascade classifier algorithm.

Increasing the scaling factor increases the step size and reduces the number of windows to be evaluated?

Assume, the input image size being evaluated for face detection using cascade classifier is 768x576. How many windows will be there with scale factor 1 and with scale factor 1.1, 1.2, 1.25, 1.30, 1.35, 1.40 etc.

The size of classifier is 14x28.