mpi.py
def mpi_lf_wrapping(rgba, planes, v, u):
    """Render a target view from an MPI representation.
    Args:
      rgba_layers: input MPI [batch, height, width, #planes, 4]
    Returns:
      rendered view [layers, batch, height, width, channels]
    """
    outputs = list()
    for i in np.arange(len(planes)):
        outputs.append(depth_rendering_one(rgba[:,:,:,i,:], planes[i], v, u))
    ret = torch.stack(outputs)
    return ret.permute([0, 1, 3, 4, 2])
Render a target view from an MPI representation.
    Args:
      rgba_layers: input MPI [batch, height, width, #planes, 4]
    Returns:
      rendered view [layers, batch, height, width, channels]
    
Render a target view from an MPI representation.
Render a target view from an MPI representation .
def mpi_lf_wrapping(rgba, planes, v, u):
    outputs = list()
    for i in np.arange(len(planes)):
        outputs.append(depth_rendering_one(rgba[:,:,:,i,:], planes[i], v, u))
    ret = torch.stack(outputs)
    return ret.permute([0, 1, 3, 4, 2])
def mpi_lf_wrapping ( rgba , planes , v , u ) : outputs = list ( ) for i in np . arange ( len ( planes ) ) : outputs . append ( depth_rendering_one ( rgba [ : , : , : , i , : ] , planes [ i ] , v , u ) ) ret = torch . stack ( outputs ) return ret . permute ( [ 0 , 1 , 3 , 4 , 2 ] )
Render a target view from an MPI representation.
Render a target view from an MPI representation .
"""Render a target view from an MPI representation.
    Args:
      rgba_layers: input MPI [batch, height, width, #planes, 4]
    Returns:
      rendered view [layers, batch, height, width, channels]
    """
rendered view [layers, batch, height, width, channels]
rendered view [ layers batch height width channels ]
rgba
planes
v
u
rgba_layers
input MPI [batch, height, width, #planes, 4]
input MPI [ batch height width #planes 4 ]