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| author | Nicolas Courty <Nico@MacBook-Pro-de-Nicolas.local> | 2017-09-01 11:22:13 +0200 |
|---|---|---|
| committer | Nicolas Courty <Nico@MacBook-Pro-de-Nicolas.local> | 2017-09-01 11:22:13 +0200 |
| commit | 64a5d3c4e49688c13d236baf9ed23420070024d6 (patch) | |
| tree | ffe5db073c07e579b26ead6a8ebcb0ff78ce6a33 /examples/plot_gromov_barycenter.py | |
| parent | ab6ed1df93cd78bb7f1a54282103d4d830e68bcb (diff) | |
| parent | 986f46ddde3ce2f550cb56f66620df377326423d (diff) | |
docstrings and naming
Diffstat (limited to 'examples/plot_gromov_barycenter.py')
| -rwxr-xr-x | examples/plot_gromov_barycenter.py | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/examples/plot_gromov_barycenter.py b/examples/plot_gromov_barycenter.py index f0657e1..46ec4bc 100755 --- a/examples/plot_gromov_barycenter.py +++ b/examples/plot_gromov_barycenter.py @@ -91,12 +91,21 @@ def im2mat(I): return I.reshape((I.shape[0] * I.shape[1], I.shape[2]))
+<<<<<<< HEAD square = spi.imread('../data/carre.png').astype(np.float64) / 256
circle = spi.imread('../data/rond.png').astype(np.float64) / 256
triangle = spi.imread('../data/triangle.png').astype(np.float64) / 256
arrow = spi.imread('../data/coeur.png').astype(np.float64) / 256
shapes = [square, circle, triangle, arrow]
+======= +carre = spi.imread('../data/carre.png').astype(np.float64) / 256
+rond = spi.imread('../data/rond.png').astype(np.float64) / 256
+triangle = spi.imread('../data/triangle.png').astype(np.float64) / 256
+fleche = spi.imread('../data/coeur.png').astype(np.float64) / 256
+
+shapes = [carre, rond, triangle, fleche]
+>>>>>>> 986f46ddde3ce2f550cb56f66620df377326423d S = 4
xs = [[] for i in range(S)]
@@ -118,36 +127,60 @@ Barycenter computation The four distributions are constructed from 4 simple images
"""
ns = [len(xs[s]) for s in range(S)]
+<<<<<<< HEAD n_samples = 30
+======= +N = 30
+>>>>>>> 986f46ddde3ce2f550cb56f66620df377326423d """Compute all distances matrices for the four shapes"""
Cs = [sp.spatial.distance.cdist(xs[s], xs[s]) for s in range(S)]
Cs = [cs / cs.max() for cs in Cs]
ps = [ot.unif(ns[s]) for s in range(S)]
+<<<<<<< HEAD p = ot.unif(n_samples)
+======= +p = ot.unif(N)
+>>>>>>> 986f46ddde3ce2f550cb56f66620df377326423d lambdast = [[float(i) / 3, float(3 - i) / 3] for i in [1, 2]]
Ct01 = [0 for i in range(2)]
for i in range(2):
+<<<<<<< HEAD Ct01[i] = ot.gromov.gromov_barycenters(n_samples, [Cs[0], Cs[1]], [
+======= + Ct01[i] = ot.gromov.gromov_barycenters(N, [Cs[0], Cs[1]], [
+>>>>>>> 986f46ddde3ce2f550cb56f66620df377326423d ps[0], ps[1]], p, lambdast[i], 'square_loss', 5e-4, numItermax=100, stopThr=1e-3)
Ct02 = [0 for i in range(2)]
for i in range(2):
+<<<<<<< HEAD Ct02[i] = ot.gromov.gromov_barycenters(n_samples, [Cs[0], Cs[2]], [
+======= + Ct02[i] = ot.gromov.gromov_barycenters(N, [Cs[0], Cs[2]], [
+>>>>>>> 986f46ddde3ce2f550cb56f66620df377326423d ps[0], ps[2]], p, lambdast[i], 'square_loss', 5e-4, numItermax=100, stopThr=1e-3)
Ct13 = [0 for i in range(2)]
for i in range(2):
+<<<<<<< HEAD Ct13[i] = ot.gromov.gromov_barycenters(n_samples, [Cs[1], Cs[3]], [
+======= + Ct13[i] = ot.gromov.gromov_barycenters(N, [Cs[1], Cs[3]], [
+>>>>>>> 986f46ddde3ce2f550cb56f66620df377326423d ps[1], ps[3]], p, lambdast[i], 'square_loss', 5e-4, numItermax=100, stopThr=1e-3)
Ct23 = [0 for i in range(2)]
for i in range(2):
+<<<<<<< HEAD Ct23[i] = ot.gromov.gromov_barycenters(n_samples, [Cs[2], Cs[3]], [
+======= + Ct23[i] = ot.gromov.gromov_barycenters(N, [Cs[2], Cs[3]], [
+>>>>>>> 986f46ddde3ce2f550cb56f66620df377326423d ps[2], ps[3]], p, lambdast[i], 'square_loss', 5e-4, numItermax=100, stopThr=1e-3)
"""
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