track_object.py 文件源码

def transform(value, left_scale, right_scale, scale=0):
    if left_scale is None or right_scale is None:
        raise Exception('Left or Right scales cannot be None.')
    if scale not in [0, 1]:
        raise Exception('Scale must be 0 or 1.')
    invalid_err = np.geterr().get('invalid')
    invalid_err = np.geterr().get('invalid')
    np.seterr(invalid='ignore')    
    if scale == 0:
        range_ = np.absolute(right_scale - left_scale)
        translated_value = np.abs(value - left_scale)    
        ret_val =  (translated_value / range_)
    else:
        if left_scale <= 0.0:
            raise Exception()
        ls = np.log10(left_scale)    
        rs = np.log10(right_scale)
        range_ = rs - ls
        translated_value = np.log10(value) - ls
        ret_val =  (translated_value / range_)
    np.seterr(invalid=invalid_err)
    return ret_val