snipy/img/imageutil.py
def blend_discrete(images, depthmask, depth=None):
    """
    depthmask : shape of [batch, h, w]
    """
    imshape = images.shape
    depth = depth or images.shape[3]
    blend = np.empty(shape=(imshape[0], imshape[1], imshape[2]))
    for d in range(depth):
        imask = (depthmask == d)
        channel = images[..., d]
        blend[imask] = channel[imask]
    return np.expand_dims(blend, axis=-1)
def blend_discrete(images, depthmask, depth=None):
    """
    depthmask : shape of [batch, h, w]
    """
    imshape = images.shape
    depth = depth or images.shape[3]
    blend = np.empty(shape=(imshape[0], imshape[1], imshape[2]))
    for d in range(depth):
        imask = (depthmask == d)
        channel = images[..., d]
        blend[imask] = channel[imask]
    return np.expand_dims(blend, axis=-1)
def blend_discrete ( images , depthmask , depth = None ) : imshape = images . shape depth = depth or images . shape [ 3 ] blend = np . empty ( shape = ( imshape [ 0 ] , imshape [ 1 ] , imshape [ 2 ] ) ) for d in range ( depth ) : imask = ( depthmask == d ) channel = images [ ... , d ] blend [ imask ] = channel [ imask ] return np . expand_dims ( blend , axis = - 1 )
depthmask : shape of [batch, h, w]
depthmask : shape of [ batch h w ]