Example #1
0
def fisher(gmm_npy, v, include='mu'):

    _check_row_float32(v)
    n, d = v.shape

    gmm = _numpy_to_gmm(gmm_npy)
    assert d == gmm.d

    flags = 0

    if 'mu' in include:
        flags |= yael.GMM_FLAGS_MU
    if 'sigma' in include:
        flags |= yael.GMM_FLAGS_SIGMA
    if 'w' in include:
        flags |= yael.GMM_FLAGS_W

    d_fisher = yael.gmm_fisher_sizeof(gmm, flags)

    fisher_out = numpy.zeros(d_fisher, dtype=numpy.float32)

    yael.gmm_fisher(n, yael.numpy_to_fvec_ref(v), gmm, flags,
                    yael.numpy_to_fvec_ref(fisher_out))

    return fisher_out
Example #2
0
def fisher(gmm_npy, v,
           include='mu'):

    _check_row_float32(v)
    n, d = v.shape

    gmm = _numpy_to_gmm(gmm_npy)
    assert d == gmm.d

    flags = 0

    if 'mu' in include:
        flags |= yael.GMM_FLAGS_MU
    if 'sigma' in include:
        flags |= yael.GMM_FLAGS_SIGMA
    if 'w' in include:
        flags |= yael.GMM_FLAGS_W

    d_fisher = yael.gmm_fisher_sizeof(gmm, flags)

    fisher_out = numpy.zeros(d_fisher, dtype=numpy.float32)

    yael.gmm_fisher(n, yael.numpy_to_fvec_ref(
        v), gmm, flags, yael.numpy_to_fvec_ref(fisher_out))

    return fisher_out
Example #3
0
def flushBuffer(x, y, t):
	c = int(cnt[x, y, t])
	fvs = []
	for cutFrom, cutTo, fvSize, gmm, partName in parts:
		desc = np.ascontiguousarray(buffer[x, y, t, :c, cutFrom:(1 + cutTo)])
		fv = yael.fvec_new_0(fvSize)
		yael.gmm_fisher(c, yael.FloatArray.acquirepointer(yael.numpy_to_fvec(desc)), gmm, flags, fv)
		fvs.append(yael.fvec_to_numpy(fv, fvSize).flatten())
	
	ndescr[x, y, t] += c
	cnt[x, y, t] = 0
	return np.sqrt(c) * np.hstack(tuple(fvs))
Example #4
0
def flushBuffer(x, y, t):
    c = int(cnt[x, y, t])
    fvs = []
    for cutFrom, cutTo, fvSize, gmm, partName in parts:
        desc = np.ascontiguousarray(buffer[x, y, t, :c, cutFrom:(1 + cutTo)])
        fv = yael.fvec_new_0(fvSize)
        yael.gmm_fisher(
            c, yael.FloatArray.acquirepointer(yael.numpy_to_fvec(desc)), gmm,
            flags, fv)
        fvs.append(yael.fvec_to_numpy(fv, fvSize).flatten())

    ndescr[x, y, t] += c
    cnt[x, y, t] = 0
    return np.sqrt(c) * np.hstack(tuple(fvs))