mmcv/video/optflow.py
def dequantize_flow(dx, dy, max_val=0.02, denorm=True):
    """Recover from quantized flow.

    Args:
        dx (ndarray): Quantized dx.
        dy (ndarray): Quantized dy.
        max_val (float): Maximum value used when quantizing.
        denorm (bool): Whether to multiply flow values with width/height.

    Returns:
        ndarray: Dequantized flow.
    """
    assert dx.shape == dy.shape
    assert dx.ndim == 2 or (dx.ndim == 3 and dx.shape[-1] == 1)

    dx, dy = [dequantize(d, -max_val, max_val, 255) for d in [dx, dy]]

    if denorm:
        dx *= dx.shape[1]
        dy *= dx.shape[0]
    flow = np.dstack((dx, dy))
    return flow
def dequantize_flow(dx, dy, max_val=0.02, denorm=True):
    assert dx.shape == dy.shape
    assert dx.ndim == 2 or (dx.ndim == 3 and dx.shape[-1] == 1)

    dx, dy = [dequantize(d, -max_val, max_val, 255) for d in [dx, dy]]

    if denorm:
        dx *= dx.shape[1]
        dy *= dx.shape[0]
    flow = np.dstack((dx, dy))
    return flow
def dequantize_flow ( dx , dy , max_val = 0.02 , denorm = True ) : assert dx . shape == dy . shape assert dx . ndim == 2 or ( dx . ndim == 3 and dx . shape [ - 1 ] == 1 ) dx , dy = [ dequantize ( d , - max_val , max_val , 255 ) for d in [ dx , dy ] ] if denorm : dx *= dx . shape [ 1 ] dy *= dx . shape [ 0 ] flow = np . dstack ( ( dx , dy ) ) return flow
Recover from quantized flow.

    Args:
        dx (ndarray): Quantized dx.
        dy (ndarray): Quantized dy.
        max_val (float): Maximum value used when quantizing.
        denorm (bool): Whether to multiply flow values with width/height.

    Returns:
        ndarray: Dequantized flow.
Recover from quantized flow .