Cannot create edgelist

[StatPal]

Trying to reproduce the results you provided as in SkeletonMatching.ipynb
Running on: Google Colab

The errors while creating edgelist using

_, edgeList1, _, _, _, _, _, _ = skeleton2Graph(s1,s1)

are as follows

/content/SkeletonMatching/skeleton2Graph.py:260: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  skeletonTemp[edgePoints.T.tolist()] = - edgeNumber
/content/SkeletonMatching/skeleton2Graph.py:288: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  skeletonTemp[edgePoints.T.tolist()] = - edgeNumber
/content/SkeletonMatching/skeleton2Graph.py:313: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  endGaussianValue = gaussianKernelMatrix[vector2EndGaussian.T.tolist()]
/content/SkeletonMatching/skeleton2Graph.py:314: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  endFluxValue = fluxMap[np.array(edgePoints).T.tolist()] * endGaussianValue
/content/SkeletonMatching/skeleton2Graph.py:318: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  startGaussianValue = gaussianKernelMatrix[vector2StartGaussian.T.tolist()]
/content/SkeletonMatching/skeleton2Graph.py:319: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
  startFluxValue = fluxMap[np.array(edgePoints).T.tolist()] * startGaussianValue
---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
[<ipython-input-6-ae6ce59447cc>](https://localhost:8080/#) in <module>()
      1 s1 = mat2gray(io.imread(os.path.join(os.getcwd(), 'SkeletonMatching/img/s1.png'),as_gray=True)).astype('float64')
      2 s2 = mat2gray(io.imread(os.path.join(os.getcwd(), 'SkeletonMatching/img/s2.png'),as_gray=True)).astype('float64')
----> 3 _, edgeList1, _, _, _, _, _, _ = skeleton2Graph(s1,s1)
      4 _, edgeList2, _, _, _, _, _, _ = skeleton2Graph(s2,s2)
      5 s1Tangent, s1PointsList = sc.skeletonTangentEstimate(edgeList1)

[/content/SkeletonMatching/skeleton2Graph.py](https://localhost:8080/#) in skeleton2Graph(skeleton, fluxMap, sigma)
    327         if (~ edgeLinkedNumber.any()):
    328             continue
--> 329         edgeLinkedLength = np.array(edgeLength)[map(int, list(np.abs(edgeLinkedNumber) - 1))].tolist()
    330         searchDepth = min(edgeLinkedLength)
    331         for el in edgeLinkedNumber:

IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices