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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-03 17:49:33 -0800 |
|---|---|---|
| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-03 17:49:33 -0800 |
| commit | 88a0dc3805499ba780d753ba6f138562a5217a26 (patch) | |
| tree | 739bba29b158fc8bae8838ccd6d9d654b3e460e9 | |
| parent | d7675be189c29dc7667ef4c5f16d45f1f3b67994 (diff) | |
| download | kinect-88a0dc3805499ba780d753ba6f138562a5217a26.tar.gz | |
Some tuning of the plots, WIP
| -rwxr-xr-x | data/combined/graphs/plots.py | 21 |
1 files changed, 18 insertions, 3 deletions
diff --git a/data/combined/graphs/plots.py b/data/combined/graphs/plots.py index 45a6bcf..5fd3c2c 100755 --- a/data/combined/graphs/plots.py +++ b/data/combined/graphs/plots.py @@ -3,7 +3,7 @@ import numpy as np import matplotlib.pyplot as plt -#dist +#frames distribution plt.cla() x = np.loadtxt("frames.txt",usecols=(0,)) y = range(1,len(x)+1) @@ -20,13 +20,28 @@ l = ["3","5","10","all"] #10-fold, naive plt.cla() +ax = plt.subplot(121) +plt.axis([0,100,50,100]) +ax.set_aspect(2) for i in l: x,y = np.loadtxt(i+"_nb_off.mat",unpack=True) plt.plot(100*x,100*y,label="$n=$ "+i,linewidth=0.8) plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") plt.legend(loc="best") - plt.savefig("10fold-naive.pdf") +#10-fold, SHT +ax = plt.subplot(122) +plt.axis([0,100,50,100]) +ax.set_aspect(2) +for i in l: + x,y = np.loadtxt(i+"_sht_off.mat",unpack=True) + plt.plot(100*x,100*y,label="$n=$ "+i,linewidth=0.8) + plt.xlabel("Recall [%]") + plt.ylabel("Precision [%]") + plt.legend(loc="best") + +plt.axis([0,100,50,100]) +plt.savefig("10fold.pdf") #online,SHT plt.cla() @@ -36,7 +51,7 @@ for i in l: plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") plt.legend(loc="best") - plt.savefig("online-sht.pdf") +plt.savefig("online-sht.pdf") #face |