示例#1
0
文件: test4.py 项目: saqibns/vigra
    def testAddEdges(self):
        IV = vigraph.INVALID
        elist = [[1, 3], [1, 5], [5, 7], [3, 4]]

        edges = np.array(elist, dtype=np.uint32)
        nodeIds = np.unique(edges.reshape(-1))

        g = vigraph.listGraph()

        edgeIds = g.addEdges(edges)

        assert g.edgeNum == len(elist)
        assert g.edgeNum == len(edgeIds)
        assert g.nodeNum == len(nodeIds)
        assert g.maxNodeId == nodeIds.max()

        for ui, vi in elist:
            assert g.findEdge(ui, vi) != IV
            assert g.findEdge(g.nodeFromId(ui), g.nodeFromId(vi)) != IV

        for nId in nodeIds:
            nId = int(nId)
            assert g.nodeFromId(nId) != IV

        for eId in edgeIds:
            eId = int(eId)
            assert g.edgeFromId(eId) != IV

        findEdges = g.findEdges(edges)

        assert np.array_equal(findEdges, edgeIds)
示例#2
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文件: test4.py 项目: saqibns/vigra
    def testIters(self):
        g = vigraph.listGraph()

        nodes = [n for n in g.nodeIter()]
        assert len(nodes) == 0

        g.addNode(3)
        nodes = [n for n in g.nodeIter()]
        assert len(nodes) == 1
        assert g.id(nodes[0]) == 3

        g.addNode(6)
        nodes = [n for n in g.nodeIter()]
        assert len(nodes) == 2
        assert g.id(nodes[0]) == 3
        assert g.id(nodes[1]) == 6

        g.addNode(2)
        nodes = [n for n in g.nodeIter()]
        assert len(nodes) == 3
        assert g.id(nodes[0]) == 2
        assert g.id(nodes[1]) == 3
        assert g.id(nodes[2]) == 6
示例#3
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文件: test4.py 项目: BSeppke/vigra
    def testIters(self):
        g  = vigraph.listGraph()
        
        nodes = [n for n in g.nodeIter()]
        assert len(nodes)==0

        g.addNode(3)
        nodes = [n for n in g.nodeIter()]
        assert len(nodes)==1
        assert g.id(nodes[0]) == 3 

        g.addNode(6)
        nodes = [n for n in g.nodeIter()]
        assert len(nodes)==2
        assert g.id(nodes[0]) == 3 
        assert g.id(nodes[1]) == 6 

        g.addNode(2)
        nodes = [n for n in g.nodeIter()]
        assert len(nodes)==3
        assert g.id(nodes[0]) == 2 
        assert g.id(nodes[1]) == 3 
        assert g.id(nodes[2]) == 6 
示例#4
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文件: test4.py 项目: BSeppke/vigra
    def testAddEdges(self):
        IV = vigraph.INVALID
        elist = [
            [1,3],
            [1,5],
            [5,7],
            [3,4]
        ] 

        edges = np.array(elist,dtype=np.uint32)
        nodeIds = np.unique(edges.reshape(-1))


        g = vigraph.listGraph()

        edgeIds = g.addEdges(edges)

        assert g.edgeNum == len(elist)
        assert g.edgeNum == len(edgeIds)
        assert g.nodeNum == len(nodeIds)
        assert g.maxNodeId == nodeIds.max()

        for ui,vi in elist :
            assert g.findEdge(ui,vi)!=IV
            assert g.findEdge(g.nodeFromId(ui),g.nodeFromId(vi))!=IV

        for nId in nodeIds :
            nId = int(nId)
            assert g.nodeFromId(nId)!=IV

        for eId in edgeIds :
            eId = int(eId)
            assert g.edgeFromId(eId)!=IV

        findEdges = g.findEdges(edges)

        assert np.array_equal(findEdges,edgeIds)
示例#5
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from vigra import numpy
from vigra import Timer
iEdgeMap = graphs.implicitMeanEdgeMap

numpy.random.seed(42)

# input
shape = [200, 100, 100]
data = numpy.random.rand(*shape).astype(numpy.float32)
data = vigra.taggedView(data, "xyz")

if False:
    labels = numpy.random.randint(5, size=shape[0] * shape[1] * shape[2])
    labels = labels.reshape(shape).astype(numpy.uint32)
    labels = vigra.analysis.labelVolume(labels)
    adjListGraph = graphs.listGraph()
    gridGraph = graphs.gridGraph(shape)
    rag = graphs.regionAdjacencyGraph(gridGraph, labels)
    rag.writeHDF5("bla.h5", "dset")

else:

    # load the region adjacency graph
    rag = graphs.loadGridRagHDF5("bla.h5", "dset")

print rag.labels.shape, rag.labels.dtype, type(rag.labels)

print "accumulate edge and node features"

edgeCuesMean = rag.accumulateEdgeFeatures(iEdgeMap(rag.baseGraph, data))
edgeCuesMean = numpy.array([edgeCuesMean, edgeCuesMean]).T
示例#6
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def clusteringFeatures(ds,
                       segId,
                       extraUV,
                       edgeIndicator,
                       liftedNeighborhood,
                       is_perturb_and_map=False,
                       with_defects=False):

    print "Computing clustering features for lifted neighborhood", liftedNeighborhood
    if is_perturb_and_map:
        print "For perturb and map"
    else:
        print "For normal clustering"

    uvs_local = modified_adjacency(ds, segId) if (
        with_defects and ds.defect_slices) else ds._adjacent_segments(segId)
    n_nodes = uvs_local.max() + 1

    # if we have a segmentation mask, remove all the uv ids that link to the ignore segment (==0)
    if ds.has_seg_mask:
        where_uv_local = (uvs_local != ds.ignore_seg_value).all(axis=1)
        uvs_local = uvs_local[where_uv_local]
        edgeIndicator = edgeIndicator[where_uv_local]
        assert numpy.sum((extraUV == ds.ignore_seg_value).any(axis=1)) == 0
    assert edgeIndicator.shape[0] == uvs_local.shape[0]

    originalGraph = vgraph.listGraph(n_nodes)
    originalGraph.addEdges(uvs_local)

    extraUV = numpy.require(extraUV, dtype='uint32')
    uvOriginal = originalGraph.uvIds()
    liftedGraph = vgraph.listGraph(originalGraph.nodeNum)
    liftedGraph.addEdges(uvOriginal)
    liftedGraph.addEdges(extraUV)

    uvLifted = liftedGraph.uvIds()
    foundEdges = originalGraph.findEdges(uvLifted)
    foundEdges[foundEdges >= 0] = 0
    foundEdges *= -1

    nAdditionalEdges = liftedGraph.edgeNum - originalGraph.edgeNum
    whereLifted = numpy.where(foundEdges == 1)[0].astype('uint32')
    assert len(whereLifted) == nAdditionalEdges
    assert foundEdges.sum() == nAdditionalEdges

    eLen = vgraph.getEdgeLengths(originalGraph)
    nodeSizes_ = vgraph.getNodeSizes(originalGraph)

    # FIXME GIL is not lifted for vigra function (probably cluster)
    def cluster(wardness):

        edgeLengthsNew = numpy.concatenate(
            [eLen, numpy.zeros(nAdditionalEdges)]).astype('float32')
        edgeIndicatorNew = numpy.concatenate(
            [edgeIndicator, numpy.zeros(nAdditionalEdges)]).astype('float32')

        nodeSizes = nodeSizes_.copy()
        nodeLabels = vgraph.graphMap(originalGraph, 'node', dtype='uint32')

        nodeFeatures = vgraph.graphMap(liftedGraph, 'node', addChannelDim=True)
        nodeFeatures[:] = 0

        outWeight = vgraph.graphMap(liftedGraph,
                                    item='edge',
                                    dtype=numpy.float32)

        mg = vgraph.mergeGraph(liftedGraph)
        clusterOp = vgraph.minEdgeWeightNodeDist(mg,
                                                 edgeWeights=edgeIndicatorNew,
                                                 edgeLengths=edgeLengthsNew,
                                                 nodeFeatures=nodeFeatures,
                                                 nodeSizes=nodeSizes,
                                                 nodeLabels=nodeLabels,
                                                 beta=0.5,
                                                 metric='l1',
                                                 wardness=wardness,
                                                 outWeight=outWeight)

        clusterOp.setLiftedEdges(whereLifted)

        hc = vgraph.hierarchicalClustering(clusterOp,
                                           nodeNumStopCond=1,
                                           buildMergeTreeEncoding=False)
        hc.cluster()

        assert mg.edgeNum == 0, str(mg.edgeNum)

        # FIXME I am disabling these checks for now, but will need to investigate this further
        # They can fail because with defects and seg mask we can get unconnected pieces in the graph

        # if we have completely defected slcies, we get a non-connected merge graph
        # TODO I don't know if this is a problem, if it is, we could first remove them
        # and then add dummy values later
        #if not with_defects:
        #    assert mg.nodeNum == 1, str(mg.nodeNum)
        #else:
        #    # TODO test hypothesis
        #    assert mg.nodeNum == len(ds.defect_slice_list) + 1, "%i, %i" % (mg.nodeNum, len(ds.defect_slice_list) + 1)

        tweight = edgeIndicatorNew.copy()
        hc.ucmTransform(tweight)

        whereInLifted = liftedGraph.findEdges(extraUV)
        assert whereInLifted.min() >= 0
        feat = tweight[whereInLifted]
        assert feat.shape[0] == extraUV.shape[0]
        return feat[:, None]

    wardness_vals = [0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7]
    # TODO set from ppl parameter
    with futures.ThreadPoolExecutor(max_workers=8) as executor:
        tasks = [executor.submit(cluster, w) for w in wardness_vals]
        allFeat = [t.result() for t in tasks]

    weights = numpy.concatenate(allFeat, axis=1)
    mean = numpy.mean(weights, axis=1)[:, None]
    stddev = numpy.std(weights, axis=1)[:, None]
    allFeat = numpy.nan_to_num(
        numpy.concatenate([weights, mean, stddev], axis=1))
    allFeat = numpy.require(allFeat, dtype='float32')
    assert allFeat.shape[0] == extraUV.shape[0]

    return allFeat
示例#7
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numpy.random.seed(42)

# input
shape = [200, 100, 100]
data = numpy.random.rand(*shape).astype(numpy.float32)
data = vigra.taggedView(data,"xyz")

if False:
    labels = numpy.random.randint(5, size=shape[0]*shape[1]*shape[2])
    labels = labels.reshape(shape).astype(numpy.uint32)
    labels = vigra.analysis.labelVolume(labels)
    adjListGraph  = graphs.listGraph()
    gridGraph = graphs.gridGraph(shape)
    rag = graphs.regionAdjacencyGraph(gridGraph, labels)
    rag.writeHDF5("bla.h5", "dset")

else :

    # load the region adjacency graph
    rag = graphs.loadGridRagHDF5("bla.h5","dset")

print rag.labels.shape, rag.labels.dtype ,type(rag.labels)


print "accumulate edge and node features"

示例#8
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文件: test4.py 项目: saqibns/vigra
    def testAddNodesWithIds(self):

        IV = vigraph.INVALID

        g = vigraph.listGraph()
        assert g.nodeNum == 0
        assert g.edgeNum == 0
        assert g.nodeFromId(0) == IV
        assert g.nodeFromId(1) == IV
        assert g.nodeFromId(2) == IV
        assert g.nodeFromId(3) == IV
        assert g.nodeFromId(4) == IV
        assert g.nodeFromId(5) == IV
        assert g.nodeFromId(6) == IV
        assert g.nodeFromId(7) == IV

        n5 = g.addNode(5)

        assert g.id(n5) == 5

        assert n5 != IV
        assert g.nodeNum == 1
        assert g.edgeNum == 0
        assert g.nodeFromId(0) == IV
        assert g.nodeFromId(1) == IV
        assert g.nodeFromId(2) == IV
        assert g.nodeFromId(3) == IV
        assert g.nodeFromId(4) == IV
        assert g.nodeFromId(5) != IV
        assert g.nodeFromId(6) == IV
        assert g.nodeFromId(7) == IV

        n2 = g.addNode(2)
        assert n2 != IV
        assert g.nodeNum == 2
        assert g.nodeFromId(0) == IV
        assert g.nodeFromId(1) == IV
        assert g.nodeFromId(2) != IV
        assert g.nodeFromId(3) == IV
        assert g.nodeFromId(4) == IV
        assert g.nodeFromId(5) != IV
        assert g.nodeFromId(6) == IV
        assert g.nodeFromId(7) == IV

        n6 = g.addNode(6)
        assert n6 != IV
        assert g.nodeNum == 3
        assert g.nodeFromId(0) == IV
        assert g.nodeFromId(1) == IV
        assert g.nodeFromId(2) != IV
        assert g.nodeFromId(3) == IV
        assert g.nodeFromId(4) == IV
        assert g.nodeFromId(5) != IV
        assert g.nodeFromId(6) != IV
        assert g.nodeFromId(7) == IV

        n6 = g.addNode(5)
        n2 = g.addNode(2)
        n6 = g.addNode(6)
        assert g.nodeNum == 3
        assert g.nodeFromId(0) == IV
        assert g.nodeFromId(1) == IV
        assert g.nodeFromId(2) != IV
        assert g.nodeFromId(3) == IV
        assert g.nodeFromId(4) == IV
        assert g.nodeFromId(5) != IV
        assert g.nodeFromId(6) != IV
        assert g.nodeFromId(7) == IV
示例#9
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文件: test4.py 项目: BSeppke/vigra
    def testAddNodesWithIds(self):

        IV = vigraph.INVALID

        g  = vigraph.listGraph()
        assert g.nodeNum == 0
        assert g.edgeNum == 0
        assert g.nodeFromId(0)==IV
        assert g.nodeFromId(1)==IV
        assert g.nodeFromId(2)==IV
        assert g.nodeFromId(3)==IV
        assert g.nodeFromId(4)==IV
        assert g.nodeFromId(5)==IV
        assert g.nodeFromId(6)==IV
        assert g.nodeFromId(7)==IV

        n5 =g.addNode(5)

        assert g.id(n5)==5

        assert n5!=IV
        assert g.nodeNum == 1
        assert g.edgeNum == 0
        assert g.nodeFromId(0)==IV
        assert g.nodeFromId(1)==IV
        assert g.nodeFromId(2)==IV
        assert g.nodeFromId(3)==IV
        assert g.nodeFromId(4)==IV
        assert g.nodeFromId(5)!=IV
        assert g.nodeFromId(6)==IV
        assert g.nodeFromId(7)==IV

        n2=g.addNode(2)
        assert n2!=IV
        assert g.nodeNum == 2
        assert g.nodeFromId(0)==IV
        assert g.nodeFromId(1)==IV
        assert g.nodeFromId(2)!=IV
        assert g.nodeFromId(3)==IV
        assert g.nodeFromId(4)==IV
        assert g.nodeFromId(5)!=IV
        assert g.nodeFromId(6)==IV
        assert g.nodeFromId(7)==IV

        n6=g.addNode(6)
        assert n6!=IV
        assert g.nodeNum == 3
        assert g.nodeFromId(0)==IV
        assert g.nodeFromId(1)==IV
        assert g.nodeFromId(2)!=IV
        assert g.nodeFromId(3)==IV
        assert g.nodeFromId(4)==IV
        assert g.nodeFromId(5)!=IV
        assert g.nodeFromId(6)!=IV
        assert g.nodeFromId(7)==IV

        n6=g.addNode(5)
        n2=g.addNode(2)
        n6=g.addNode(6)
        assert g.nodeNum == 3
        assert g.nodeFromId(0)==IV
        assert g.nodeFromId(1)==IV
        assert g.nodeFromId(2)!=IV
        assert g.nodeFromId(3)==IV
        assert g.nodeFromId(4)==IV
        assert g.nodeFromId(5)!=IV
        assert g.nodeFromId(6)!=IV
        assert g.nodeFromId(7)==IV