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2 facet normal 5.299990e-01 -8.479983e-01 0.000000e+004 vertex -1.809197e+00 -1.071657e+00 5.000000e-015 vertex -1.809197e+00 -1.071657e+00 -5.000000e-016 vertex -3.710588e-01 -1.728205e-01 5.000000e-019 facet normal 5.299990e-01 -8.479983e-01 0.000000e+0011 vertex -3.710588e-01 -1.728205e-01 5.000000e-0112 vertex -1.809197e+00 -1.071657e+00 -5.000000e-0113 vertex -3.710588e-01 -1.728205e-01 -5.000000e-0116 facet normal 5.995555e-01 -8.003332e-01 0.000000e+0018 vertex -1.809197e+00 -1.071657e+00 -5.000000e-01[all …]
29 static const double e[] = { // 1e-0...1e308: 309 * 8 bytes = 2472 bytes in Pow10() local30 1e+0, in Pow10()31 …1e+1, 1e+2, 1e+3, 1e+4, 1e+5, 1e+6, 1e+7, 1e+8, 1e+9, 1e+10, 1e+11, 1e+12, 1e+13, 1e+14, … in Pow10()32 …1e+21, 1e+22, 1e+23, 1e+24, 1e+25, 1e+26, 1e+27, 1e+28, 1e+29, 1e+30, 1e+31, 1e+32, 1e+33, 1e+34, … in Pow10()33 …1e+41, 1e+42, 1e+43, 1e+44, 1e+45, 1e+46, 1e+47, 1e+48, 1e+49, 1e+50, 1e+51, 1e+52, 1e+53, 1e+54, … in Pow10()34 …1e+61, 1e+62, 1e+63, 1e+64, 1e+65, 1e+66, 1e+67, 1e+68, 1e+69, 1e+70, 1e+71, 1e+72, 1e+73, 1e+74, … in Pow10()35 …1e+81, 1e+82, 1e+83, 1e+84, 1e+85, 1e+86, 1e+87, 1e+88, 1e+89, 1e+90, 1e+91, 1e+92, 1e+93, 1e+94, … in Pow10()36 …1e+101,1e+102,1e+103,1e+104,1e+105,1e+106,1e+107,1e+108,1e+109,1e+110,1e+111,1e+112,1e+113,1e+114,… in Pow10()37 …1e+121,1e+122,1e+123,1e+124,1e+125,1e+126,1e+127,1e+128,1e+129,1e+130,1e+131,1e+132,1e+133,1e+134,… in Pow10()38 …1e+141,1e+142,1e+143,1e+144,1e+145,1e+146,1e+147,1e+148,1e+149,1e+150,1e+151,1e+152,1e+153,1e+154,… in Pow10()[all …]
1582 …e-05,0.,-7.51331e-13,7.55853e-05,7.55853e-05,-2.25399e-12,3.75665e-12,0.000151171,7.55853e-05,9.01…1663 …e-06,0.0126172,0.0126005,-2.50188e-05,4.1698e-05,0.0252344,0.0126756,0.000100075,-0.000158451,0.03…1778 …e-07,0.149338,0.011407,3.56578e-07,-5.79396e-07,0.160745,0.0114059,-1.38161e-06,2.16892e-06,0.1721…
15 #define E(err) [err + BUILD_BUG_ON_ZERO(err <= 0 || err > 300)] = "-" #err macro17 E(E2BIG),18 E(EACCES),19 E(EADDRINUSE),20 E(EADDRNOTAVAIL),21 E(EADV),22 E(EAFNOSUPPORT),23 E(EALREADY),24 E(EBADE),25 E(EBADF),[all …]
... , 141 is2=\E[r\E[m\E[2J\E[H\E[?7 ...
7 #ifdef E8 #undef E12 E(0x00000000, 0x00000000, 0x00000000, 0x00000000), \13 E(0x80000000, 0x00000000, 0x00000000, 0x00000000), \14 E(0xC0000000, 0x00000000, 0x00000000, 0x00000000), \15 E(0xE0000000, 0x00000000, 0x00000000, 0x00000000), \16 E(0xF0000000, 0x00000000, 0x00000000, 0x00000000), \17 E(0xF8000000, 0x00000000, 0x00000000, 0x00000000), \18 E(0xFC000000, 0x00000000, 0x00000000, 0x00000000), \19 E(0xFE000000, 0x00000000, 0x00000000, 0x00000000), \[all …]
4 …e,undefined){var t,n,r=typeof undefined,i=e.location,o=e.document,s=o.documentElement,a=e.jQuery,u… class5 …e,s,o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+"queueHooks";return q.get(e,n)||q… argument6 …e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(… argument
58 <stageThreshold>3.5069230198860168e-01</stageThreshold>62 0 1 0 4.3272329494357109e-03 -1 -2 1 1.3076160103082657e-02</internalNodes>64 3.8381900638341904e-02 8.9652568101882935e-0165 2.6293140649795532e-01</leafValues></_>68 0 1 2 5.2434601821005344e-04 -1 -2 3 4.4573000632226467e-03</internalNodes>70 1.0216630250215530e-01 1.2384019792079926e-0171 6.9103831052780151e-01</leafValues></_>74 1 0 4 -9.2708261217921972e-04 -1 -2 5 3.3989109215326607e-04</internalNodes>76 1.9536970555782318e-01 2.1014410257339478e-0177 8.2586747407913208e-01</leafValues></_></weakClassifiers></_>[all …]
3 A frontal cat face detector using the full set of Haar features, i.e.18 http://www.oreilly.com/pub/e/307726 sideways or upside down (e.g. the cat is rolling over), try various rotations85 <minHitRate>9.9500000476837158e-01</minHitRate>86 <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>87 <weightTrimRate>9.4999999999999996e-01</weightTrimRate>99 <stageThreshold>-1.4294912815093994e+00</stageThreshold>103 0 -1 394 -1.5126220881938934e-02</internalNodes>105 7.5887596607208252e-01 -3.4230688214302063e-01</leafValues></_>108 0 -1 737 3.9337221533060074e-03</internalNodes>[all …]
58 <stageThreshold>8.2268941402435303e-01</stageThreshold>62 0 -1 0 4.0141958743333817e-03</internalNodes>64 3.3794190734624863e-02 8.3781069517135620e-01</leafValues></_>67 0 -1 1 1.5151339583098888e-02</internalNodes>69 1.5141320228576660e-01 7.4888122081756592e-01</leafValues></_>72 0 -1 2 4.2109931819140911e-03</internalNodes>74 9.0049281716346741e-02 6.3748198747634888e-01</leafValues></_></weakClassifiers></_>77 <stageThreshold>6.9566087722778320e+00</stageThreshold>81 0 -1 3 1.6227109590545297e-03</internalNodes>83 6.9308586418628693e-02 7.1109461784362793e-01</leafValues></_>[all …]
59 <stageThreshold>-1.3442519903182983e+00</stageThreshold>63 0 -1 0 3.7895569112151861e-03</internalNodes>65 -9.2945802211761475e-01 6.4119851589202881e-01</leafValues></_>68 0 -1 1 1.2098110280930996e-02</internalNodes>70 -7.1810090541839600e-01 4.7141009569168091e-01</leafValues></_>73 0 -1 2 1.2138449819758534e-03</internalNodes>75 -7.2831612825393677e-01 3.0330690741539001e-01</leafValues></_></weakClassifiers></_>78 <stageThreshold>-1.6378560066223145e+00</stageThreshold>82 0 -1 3 8.7510552257299423e-03</internalNodes>84 -8.5947072505950928e-01 3.6881381273269653e-01</leafValues></_>[all …]
58 <stageThreshold>-1.4562760591506958e+00</stageThreshold>62 0 -1 0 1.2963959574699402e-01</internalNodes>64 -7.7304208278656006e-01 6.8350148200988770e-01</leafValues></_>67 0 -1 1 -4.6326808631420135e-02</internalNodes>69 5.7352751493453979e-01 -4.9097689986228943e-01</leafValues></_>72 0 -1 2 -1.6173090785741806e-02</internalNodes>74 6.0254341363906860e-01 -3.1610709428787231e-01</leafValues></_>77 0 -1 3 -4.5828841626644135e-02</internalNodes>79 6.4177548885345459e-01 -1.5545040369033813e-01</leafValues></_>82 0 -1 4 -5.3759619593620300e-02</internalNodes>[all …]
3 A frontal cat face detector using the basic set of Haar features, i.e.18 http://www.oreilly.com/pub/e/307726 sideways or upside down (e.g. the cat is rolling over), try various rotations85 <minHitRate>9.9500000476837158e-01</minHitRate>86 <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>87 <weightTrimRate>9.4999999999999996e-01</weightTrimRate>99 <stageThreshold>-1.4806525707244873e+00</stageThreshold>103 0 -1 472 -1.5126220881938934e-02</internalNodes>105 7.5887596607208252e-01 -3.4230688214302063e-01</leafValues></_>108 0 -1 839 3.9337221533060074e-03</internalNodes>[all …]