diff options
| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-02 19:27:28 -0800 |
|---|---|---|
| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-03-02 19:27:58 -0800 |
| commit | 6e5ae1e495ceb9b148654d278a62fcf8c3374229 (patch) | |
| tree | b4fa9e7535384930cf459d38588d4a91c47bb5de /data | |
| parent | dab0508530bb34b0ff7634bba43b9345428f4c90 (diff) | |
| download | kinect-6e5ae1e495ceb9b148654d278a62fcf8c3374229.tar.gz | |
face mods
Diffstat (limited to 'data')
| -rw-r--r-- | data/combined/graphs/face.csv | 270 | ||||
| -rw-r--r-- | data/combined/scriptSkeleton.m | 6 | ||||
| -rwxr-xr-x | data/face-frame-recognition-accuracy.py | 4 |
3 files changed, 141 insertions, 139 deletions
diff --git a/data/combined/graphs/face.csv b/data/combined/graphs/face.csv index ec4cd86..799f4ed 100644 --- a/data/combined/graphs/face.csv +++ b/data/combined/graphs/face.csv @@ -182,72 +182,141 @@ 1.0,0.655321782178 1.0,0.655321782178 0.891707920792,0.696738376128 -0.777846534653,0.707239459029 -0.665841584158,0.68029739777 -0.634900990099,0.678362573099 -0.613242574257,0.694248234107 -0.554455445545,0.719866071429 -0.508663366337,0.725060827251 -0.457920792079,0.717567567568 -0.4375,0.725601131542 -0.412128712871,0.732732732733 -0.399133663366,0.73488372093 -0.376237623762,0.748355263158 -0.354579207921,0.752181500873 -0.335396039604,0.763837638376 -0.318688118812,0.770873786408 -0.303836633663,0.771894093686 -0.287747524752,0.769892473118 -0.266707920792,0.779582366589 -0.251237623762,0.778325123153 -0.240099009901,0.780927835052 -0.230198019802,0.784946236559 -0.214108910891,0.78323699422 -0.195544554455,0.79746835443 -0.183168316832,0.797297297297 -0.170792079208,0.800724637681 -0.158415841584,0.796875 -0.14603960396,0.78813559322 -0.137376237624,0.797297297297 -0.128094059406,0.806763285024 -0.121287128713,0.816326530612 -0.110148514851,0.837078651685 -0.101485148515,0.829268292683 -0.0940594059406,0.828947368421 -0.085396039604,0.826086956522 -0.0804455445545,0.823076923077 -0.072400990099,0.820512820513 -0.0631188118812,0.833333333333 -0.0569306930693,0.847826086957 -0.049504950495,0.875 -0.0476485148515,0.883116883117 -0.0402227722772,0.892307692308 -0.0365099009901,0.898305084746 -0.0321782178218,0.884615384615 -0.0278465346535,0.888888888889 -0.0241336633663,0.923076923077 -0.0216584158416,0.914285714286 -0.0191831683168,0.935483870968 -0.0154702970297,0.92 -0.0123762376238,0.9 -0.0111386138614,0.888888888889 -0.00990099009901,0.875 -0.00804455445545,0.923076923077 -0.00680693069307,0.909090909091 -0.0049504950495,0.875 -0.00371287128713,1.0 -0.00371287128713,1.0 -0.00371287128713,1.0 -0.00371287128713,1.0 -0.00371287128713,1.0 -0.00371287128713,1.0 -0.00371287128713,1.0 -0.00371287128713,1.0 -0.00309405940594,1.0 +0.779084158416,0.706115965052 +0.671410891089,0.67465437788 +0.64603960396,0.669540229885 +0.627475247525,0.681459566075 +0.574876237624,0.697524219591 +0.532178217822,0.697674418605 +0.486386138614,0.68320610687 +0.464727722772,0.688415446072 +0.443688118812,0.693165969317 +0.430074257426,0.697841726619 +0.41646039604,0.702823179792 +0.404084158416,0.704441041348 +0.38551980198,0.707865168539 +0.368193069307,0.714285714286 +0.355198019802,0.716027874564 +0.337252475248,0.719266055046 +0.329826732673,0.724202626642 +0.318069306931,0.735408560311 +0.295792079208,0.728033472803 +0.279702970297,0.736725663717 +0.263613861386,0.746478873239 +0.261757425743,0.747044917258 +0.252475247525,0.747549019608 +0.238861386139,0.748704663212 +0.227103960396,0.74659400545 +0.217202970297,0.746438746439 +0.20853960396,0.738872403561 +0.199876237624,0.743034055728 +0.190594059406,0.74025974026 +0.185643564356,0.733333333333 +0.174504950495,0.730496453901 +0.167698019802,0.726937269373 +0.160891089109,0.734615384615 +0.156559405941,0.735177865613 +0.15099009901,0.741803278689 +0.14047029703,0.748898678414 +0.136138613861,0.745454545455 +0.130569306931,0.739336492891 +0.125,0.732673267327 +0.116336633663,0.739361702128 +0.111386138614,0.733333333333 +0.108910891089,0.738636363636 +0.104579207921,0.739644970414 +0.0990099009901,0.7375 +0.0909653465347,0.734693877551 +0.085396039604,0.753623188406 +0.0816831683168,0.75 +0.0779702970297,0.761904761905 +0.072400990099,0.777777777778 +0.0717821782178,0.775862068966 +0.0668316831683,0.777777777778 +0.0631188118812,0.774509803922 +0.0581683168317,0.797872340426 +0.0563118811881,0.791208791209 +0.0519801980198,0.821428571429 +0.0507425742574,0.817073170732 +0.0482673267327,0.820512820513 +0.0445544554455,0.805555555556 +0.0433168316832,0.8 +0.0402227722772,0.8 +0.0377475247525,0.786885245902 +0.0352722772277,0.789473684211 +0.032797029703,0.830188679245 +0.0309405940594,0.84 +0.0284653465347,0.826086956522 +0.0272277227723,0.818181818182 +0.0259900990099,0.809523809524 +0.0253712871287,0.80487804878 +0.0241336633663,0.794871794872 +0.0235148514851,0.815789473684 +0.0210396039604,0.794117647059 +0.019801980198,0.78125 +0.0185643564356,0.8 +0.0173267326733,0.785714285714 +0.0160891089109,0.846153846154 +0.0154702970297,0.84 +0.0154702970297,0.84 +0.012995049505,0.809523809524 +0.012995049505,0.809523809524 +0.0123762376238,0.8 +0.0105198019802,0.823529411765 +0.0105198019802,0.823529411765 +0.0105198019802,0.823529411765 +0.00990099009901,0.8125 +0.00928217821782,0.8 +0.00928217821782,0.8 +0.00928217821782,0.8 +0.00928217821782,0.8 +0.00928217821782,0.8 +0.00928217821782,0.8 +0.00928217821782,0.8 +0.00928217821782,0.8 +0.00866336633663,0.785714285714 +0.00866336633663,0.785714285714 +0.00804455445545,0.769230769231 +0.00804455445545,0.769230769231 +0.00804455445545,0.769230769231 +0.00742574257426,0.75 +0.00680693069307,0.818181818182 +0.00680693069307,0.818181818182 +0.00556930693069,0.777777777778 +0.0049504950495,0.75 +0.00433168316832,0.714285714286 +0.00371287128713,0.833333333333 +0.00371287128713,0.833333333333 +0.00371287128713,0.833333333333 +0.00309405940594,0.8 +0.00309405940594,0.8 +0.00309405940594,0.8 +0.00309405940594,0.8 +0.00309405940594,0.8 +0.00309405940594,0.8 +0.00309405940594,0.8 +0.00309405940594,0.8 +0.00309405940594,0.8 0.00247524752475,1.0 +0.00247524752475,1.0 +0.00247524752475,1.0 +0.00185643564356,1.0 +0.00185643564356,1.0 +0.00185643564356,1.0 +0.00185643564356,1.0 0.00185643564356,1.0 0.00185643564356,1.0 0.00185643564356,1.0 +0.00185643564356,1.0 +0.00185643564356,1.0 +0.00185643564356,1.0 +0.00123762376238,1.0 +0.00123762376238,1.0 +0.00123762376238,1.0 +0.00123762376238,1.0 +0.00123762376238,1.0 +0.00123762376238,1.0 +0.00123762376238,1.0 0.00123762376238,1.0 0.00123762376238,1.0 0.00123762376238,1.0 @@ -255,79 +324,10 @@ 0.000618811881188,1.0 0.000618811881188,1.0 0.000618811881188,1.0 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 -0,1 +0.000618811881188,1.0 +0.000618811881188,1.0 +0.000618811881188,1.0 +0.000618811881188,1.0 0,1 0,1 0,1 diff --git a/data/combined/scriptSkeleton.m b/data/combined/scriptSkeleton.m index 91c724f..82f04b7 100644 --- a/data/combined/scriptSkeleton.m +++ b/data/combined/scriptSkeleton.m @@ -124,8 +124,10 @@ for ex = 1 : numEx % evaluation
for i = 1 : 1000
- th = 5 - i;
- sub = test(norm1(test) < th);
+ %th = 5 - i;
+ %sub = test(norm1(test) < th);
+ th = i/1000
+ sub = test(exp(conf(test)) > th);
prec(ex, i) = mean(y(sub) == yp(sub));
recall(ex, i) = length(sub) / length(test);
end
diff --git a/data/face-frame-recognition-accuracy.py b/data/face-frame-recognition-accuracy.py index 48b6141..7c53366 100755 --- a/data/face-frame-recognition-accuracy.py +++ b/data/face-frame-recognition-accuracy.py @@ -40,12 +40,12 @@ for line in open(sys.argv[2]): runs[prun] = recs.index(max(recs))+1 recs = map(lambda x:0,users) recs[users.index(rec)] += 1 - maxc = float(line[7])/100.0 + maxc = math.log(float(line[7])/100.0) i = 9 cvec = [] while len(cvec) < len(users)-1: if i < len(line): - cvec += [float(line[i])/100.0 - maxc] + cvec += [math.log(float(line[i])/100.0) - maxc] else: cvec += [-maxc] conf[run] = math.log(np.sum(np.exp(cvec))) |
