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Commit fef377f4 authored by Tiago de Freitas Pereira's avatar Tiago de Freitas Pereira
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Added plotting mechanism

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This commit is part of merge request !53. Comments created here will be created in the context of that merge request.
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doc/plot/plot_ISV.py
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...@@ -57,6 +57,10 @@ ubm = bob.learn.em.GMMMachine(n_gaussians).fit(X) ...@@ -57,6 +57,10 @@ ubm = bob.learn.em.GMMMachine(n_gaussians).fit(X)
gmm_stats = [ubm.acc_statistics(x[np.newaxis]) for x in X] gmm_stats = [ubm.acc_statistics(x[np.newaxis]) for x in X]
isv_machine = bob.learn.em.ISVMachine(ubm, r_U).fit(gmm_stats, y) isv_machine = bob.learn.em.ISVMachine(ubm, r_U).fit(gmm_stats, y)
# gmm_stats = [ubm.acc_statistics(x) for x in [setosa, versicolor, virginica]]
# isv_machine = bob.learn.em.ISVMachine(ubm, r_U).fit(gmm_stats, [0, 1, 2])
# isvbase = isv_train([setosa, versicolor, virginica], ubm) # isvbase = isv_train([setosa, versicolor, virginica], ubm)
# Variability direction # Variability direction
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doc/plot/plot_JFA.py
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...@@ -58,6 +58,9 @@ ubm = bob.learn.em.GMMMachine(n_gaussians).fit(X) ...@@ -58,6 +58,9 @@ ubm = bob.learn.em.GMMMachine(n_gaussians).fit(X)
gmm_stats = [ubm.acc_statistics(x[np.newaxis]) for x in X] gmm_stats = [ubm.acc_statistics(x[np.newaxis]) for x in X]
jfa_machine = bob.learn.em.JFAMachine(ubm, r_U, r_V).fit(gmm_stats, y) jfa_machine = bob.learn.em.JFAMachine(ubm, r_U, r_V).fit(gmm_stats, y)
# gmm_stats = [ubm.acc_statistics(x) for x in [setosa, versicolor, virginica]]
# jfa_machine = bob.learn.em.JFAMachine(ubm, r_U, r_V).fit(gmm_stats, [0, 1, 2])
# Variability direction U # Variability direction U
u0 = jfa_machine.U[0:2, 0] / np.linalg.norm(jfa_machine.U[0:2, 0]) u0 = jfa_machine.U[0:2, 0] / np.linalg.norm(jfa_machine.U[0:2, 0])
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