diff options
| -rwxr-xr-x | data/combined/graphs/plots.py | 26 | ||||
| -rwxr-xr-x | data/pair-matching/roc.py | 4 | ||||
| -rw-r--r-- | experimental.tex | 7 | ||||
| -rw-r--r-- | graphics/back.pdf | bin | 19075 -> 17955 bytes | |||
| -rw-r--r-- | graphics/face.pdf | bin | 15440 -> 14824 bytes | |||
| -rw-r--r-- | graphics/frames.pdf | bin | 10940 -> 10850 bytes | |||
| -rw-r--r-- | graphics/offline-nb.pdf | bin | 17290 -> 17143 bytes | |||
| -rw-r--r-- | graphics/offline-sht.pdf | bin | 21595 -> 20594 bytes | |||
| -rw-r--r-- | graphics/online-nb.pdf | bin | 18224 -> 17929 bytes | |||
| -rw-r--r-- | graphics/online-sht.pdf | bin | 27848 -> 24868 bytes | |||
| -rw-r--r-- | graphics/roc.pdf | bin | 123691 -> 20447 bytes | |||
| -rw-r--r-- | graphics/var.pdf | bin | 17091 -> 16186 bytes | |||
| -rw-r--r-- | uniqueness.tex | 1 |
13 files changed, 25 insertions, 13 deletions
diff --git a/data/combined/graphs/plots.py b/data/combined/graphs/plots.py index 7b3bb3e..fc13369 100755 --- a/data/combined/graphs/plots.py +++ b/data/combined/graphs/plots.py @@ -2,6 +2,10 @@ import numpy as np import matplotlib.pyplot as plt +import sys +import os +out_dir = sys.argv[1] + #frames distribution plt.cla() @@ -9,12 +13,14 @@ x = np.loadtxt("frames.txt",usecols=(0,)) y = range(1,len(x)+1) width=0.8 plt.bar(y,x/x.sum()*100,width=width) -plt.xlim(0.8,25) +plt.xlim(0.8,26) plt.xticks([i+width/2. for i in range(1,len(x),5)], range(1,len(x),5)) plt.xlabel("Individual") plt.ylabel("Frame ratio [%]") -plt.ylim(0,10) -plt.savefig("frames.pdf") +plt.ylim(0,17) +ax = plt.gca() +#ax.set_aspect(1) +plt.savefig(os.path.join(out_dir,"frames.pdf")) l = ["3","5","10","all"] @@ -29,7 +35,7 @@ for i in l: plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") plt.legend(loc="best") -plt.savefig("offline-nb.pdf") +plt.savefig(os.path.join(out_dir,"offline-nb.pdf")) #10-fold, SHT #ax = plt.subplot(122) #plt.axis([0,100,50,100]) @@ -43,7 +49,7 @@ for i in l: plt.legend(loc="best") plt.axis([0,100,50,100]) -plt.savefig("offline-sht.pdf") +plt.savefig(os.path.join(out_dir,"offline-sht.pdf")) #online,NB plt.cla() @@ -53,7 +59,7 @@ for i in l: plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") plt.legend(loc="best") -plt.savefig("online-nb.pdf") +plt.savefig(os.path.join(out_dir,"online-nb.pdf")) #online,SHT plt.cla() for i in l: @@ -62,7 +68,7 @@ for i in l: plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") plt.legend(loc="best") -plt.savefig("online-sht.pdf") +plt.savefig(os.path.join(out_dir,"online-sht.pdf")) #face @@ -74,7 +80,7 @@ plt.plot(100*a,100*b,linewidth=0.8,label="Face") plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") plt.legend(loc="best") -plt.savefig("face.pdf") +plt.savefig(os.path.join(out_dir,"face.pdf")) #back plt.cla() @@ -87,7 +93,7 @@ plt.plot(100*c,100*d,linewidth=0.8,label="Train toward test away") plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") plt.legend(loc="best") -plt.savefig("back.pdf") +plt.savefig(os.path.join(out_dir,"back.pdf")) #variance-reduction plt.cla() @@ -98,4 +104,4 @@ plt.plot(100*a,100*b,linewidth=0.8,label="Original noise") plt.xlabel("Recall [%]") plt.ylabel("Precision [%]") plt.legend(loc="best") -plt.savefig("var.pdf") +plt.savefig(os.path.join(out_dir,"var.pdf")) diff --git a/data/pair-matching/roc.py b/data/pair-matching/roc.py index dd991b4..c121e97 100755 --- a/data/pair-matching/roc.py +++ b/data/pair-matching/roc.py @@ -41,8 +41,8 @@ if __name__ == "__main__": ap_false = ap[:,1][indices] ap_true = ap[:,0][indices] plt.plot(ap_false,ap_true,label="Face recognition") - plt.xlabel("False positive rate [\%]") - plt.ylabel("True positive rate [\%]") + plt.xlabel("False positive rate [%]") + plt.ylabel("True positive rate [%]") np.random.seed() std = map(float,sys.argv[2].split(",")) sk_data = np.loadtxt(sys.argv[1],comments="#",delimiter=",") diff --git a/experimental.tex b/experimental.tex index b30ba10..b96893a 100644 --- a/experimental.tex +++ b/experimental.tex @@ -35,6 +35,7 @@ capture the 3D coordinates of 20 body joints, and the color image. \begin{center} \includegraphics[width=0.99\textwidth]{graphics/hallway.png} \end{center} + \vspace{-\baselineskip} \caption{Experiment setting. Color image, depth image, and fitted skeleton as captured by the Kinect in a single frame} \label{fig:hallway} @@ -99,8 +100,9 @@ the skeleton in a contiguous way. This allows us to define the concept of a \begin{figure}[t] \begin{center} - \includegraphics[width=0.49\textwidth]{graphics/frames.pdf} + \includegraphics[width=0.60\textwidth]{graphics/frames.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{Distribution of the frame ratio of each individual in the data set} \label{fig:frames} @@ -215,6 +217,7 @@ algorithm and would thus bias the results in favor of skeleton recognition. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/face.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{Precision-recall curve for face recognition and skeleton recognition} \label{fig:face} } @@ -222,6 +225,7 @@ algorithm and would thus bias the results in favor of skeleton recognition. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/back.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{Precision-recall curve with people walking away from and toward the camera} @@ -293,6 +297,7 @@ the newly obtained data set. \begin{center} \includegraphics[width=0.49\textwidth]{graphics/var.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{Precision-recall curve for the sequential hypothesis testing algorithm in the online setting for all the people with and without halving the variance of the noise} diff --git a/graphics/back.pdf b/graphics/back.pdf Binary files differindex 3c35a7d..86ff2f2 100644 --- a/graphics/back.pdf +++ b/graphics/back.pdf diff --git a/graphics/face.pdf b/graphics/face.pdf Binary files differindex ed753e5..3f87ef6 100644 --- a/graphics/face.pdf +++ b/graphics/face.pdf diff --git a/graphics/frames.pdf b/graphics/frames.pdf Binary files differindex 772894d..cca65bf 100644 --- a/graphics/frames.pdf +++ b/graphics/frames.pdf diff --git a/graphics/offline-nb.pdf b/graphics/offline-nb.pdf Binary files differindex 2de9fd4..8c468bd 100644 --- a/graphics/offline-nb.pdf +++ b/graphics/offline-nb.pdf diff --git a/graphics/offline-sht.pdf b/graphics/offline-sht.pdf Binary files differindex c05e09a..637ea99 100644 --- a/graphics/offline-sht.pdf +++ b/graphics/offline-sht.pdf diff --git a/graphics/online-nb.pdf b/graphics/online-nb.pdf Binary files differindex 1e705b3..03c561e 100644 --- a/graphics/online-nb.pdf +++ b/graphics/online-nb.pdf diff --git a/graphics/online-sht.pdf b/graphics/online-sht.pdf Binary files differindex d278eef..46d4b6c 100644 --- a/graphics/online-sht.pdf +++ b/graphics/online-sht.pdf diff --git a/graphics/roc.pdf b/graphics/roc.pdf Binary files differindex d13496d..d5a0c79 100644 --- a/graphics/roc.pdf +++ b/graphics/roc.pdf diff --git a/graphics/var.pdf b/graphics/var.pdf Binary files differindex d49b409..97fb5a1 100644 --- a/graphics/var.pdf +++ b/graphics/var.pdf diff --git a/uniqueness.tex b/uniqueness.tex index 927421a..76b7461 100644 --- a/uniqueness.tex +++ b/uniqueness.tex @@ -68,6 +68,7 @@ defined as: \begin{center} \includegraphics[width=10cm]{graphics/roc.pdf} \end{center} + \vspace{-1.5\baselineskip} \caption{ROC curve (true positive rate vs. false positive rate) for several standard deviations of the noise and for the state-of-the-art \emph{Associate-Predict} face |