track_object.py 文件源码

def inverse_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')
    np.seterr(invalid='ignore')    
    if scale == 0:
        range_ = np.absolute(right_scale - left_scale)
        translated_value = value * range_
        if (left_scale > right_scale):
            ret_val = left_scale - translated_value
        else:    
            ret_val = left_scale + translated_value
    else:
        ls = np.log10(left_scale)    
        rs = np.log10(right_scale)
        range_ = rs - ls
        translated_value = value * range_
        translated_value = np.round(translated_value, 3)
        translated_value = translated_value + ls
        ret_val = np.power(10, translated_value)
    np.seterr(invalid=invalid_err)
    return ret_val  



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