AdaBoost的人脸检测算法的matlab实现

CLASSNUM = 30,t=1,nRightCount=109,pseudo_loss=4.741379e-002,bt = 4.977376e-002 CLASSNUM = 30,t=2,nRightCount=104,pseudo_loss=5.039323e-002,bt = 5.306747e-002 CLASSNUM = 30,t=3,nRightCount=101,pseudo_loss=6.267708e-002,bt = 6.686818e-002 CLASSNUM = 30,t=4,nRightCount=107,pseudo_loss=3.286440e-002,bt = 3.398117e-002 CLASSNUM = 30,t=5,nRightCount=98,pseudo_loss=7.550525e-002,bt = 8.167191e-002 CLASSNUM = 30,t=6,nRightCount=99,pseudo_loss=5.737586e-002,bt = 6.086823e-002 CLASSNUM = 30,t=7,nRightCount=100,pseudo_loss=5.896728e-002,bt = 6.266231e-002 CLASSNUM = 30,t=8,nRightCount=103,pseudo_loss=5.115724e-002,bt = 5.391541e-002 CLASSNUM = 30,t=9,nRightCount=91,pseudo_loss=1.268913e-001,bt = 1.453327e-001 CLASSNUM = 30,t=10,nRightCount=87,pseudo_loss=9.192334e-002,bt = 1.012286e-001 CLASSNUM = 30,t=11,nRightCount=88,pseudo_loss=8.531130e-002,bt = 9.326812e-002 CLASSNUM = 30,t=12,nRightCount=95,pseudo_loss=4.995339e-002,bt = 5.257993e-002 CLASSNUM = 30,t=13,nRightCount=85,pseudo_loss=1.132457e-001,bt = 1.277081e-001 CLASSNUM = 30,t=14,nRightCount=88,pseudo_loss=9.152944e-002,bt = 1.007511e-001 CLASSNUM = 30,t=15,nRightCount=94,pseudo_loss=9.103659e-002,bt = 1.001543e-001 CLASSNUM = 30,t=16,nRightCount=90,pseudo_loss=8.375094e-002,bt = 9.140631e-002 CLASSNUM = 30,t=17,nRightCount=92,pseudo_loss=1.121158e-001,bt = 1.262730e-001 CLASSNUM = 30,t=18,nRightCount=94,pseudo_loss=5.081611e-002,bt = 5.353663e-002 CLASSNUM = 30,t=19,nRightCount=86,pseudo_loss=1.226088e-001,bt = 1.397424e-001 CLASSNUM = 30,t=20,nRightCount=95,pseudo_loss=7.462495e-002,bt = 8.064292e-002 CLASSNUM = 30,t=21,nRightCount=87,pseudo_loss=9.920743e-002,bt = 1.101335e-001 CLASSNUM = 30,t=22,nRightCount=89,pseudo_loss=5.067598e-002,bt = 5.338112e-002 CLASSNUM = 30,t=23,nRightCount=91,pseudo_loss=7.367528e-002,bt = 7.953505e-002 CLASSNUM = 30,t=24,nRightCount=88,pseudo_loss=1.184464e-001,bt = 1.343609e-001 CLASSNUM = 30,t=25,nRightCount=91,pseudo_loss=8.035784e-002,bt = 8.737946e-002 CLASSNUM = 30,t=26,nRightCount=86,pseudo_loss=1.197649e-001,bt = 1.360601e-001 CLASSNUM = 30,t=27,nRightCount=90,pseudo_loss=1.277275e-001,bt = 1.464308e-001 CLASSNUM = 30,t=28,nRightCount=81,pseudo_loss=1.942795e-001,bt = 2.411251e-001 CLASSNUM = 30,t=29,nRightCount=81,pseudo_loss=1.171768e-001,bt = 1.327297e-001 CLASSNUM = 30,t=30,nRightCount=88,pseudo_loss=7.397260e-002,bt = 7.988165e-002 CLASSNUM = 30,t=31,nRightCount=88,pseudo_loss=9.078219e-002,bt = 9.984647e-002 CLASSNUM = 30,t=32,nRightCount=79,pseudo_loss=1.418915e-001,bt = 1.653539e-001 CLASSNUM = 30,t=33,nRightCount=72,pseudo_loss=1.660892e-001,bt = 1.991690e-001 CLASSNUM = 30,t=34,nRightCount=85,pseudo_loss=7.347610e-002,bt = 7.930298e-002 CLASSNUM = 30,t=35,nRightCount=83,pseudo_loss=9.401081e-002,bt = 1.037659e-001 CLASSNUM = 30,t=36,nRightCount=84,pseudo_loss=9.671804e-002,bt = 1.070740e-001 CLASSNUM = 30,t=37,nRightCount=88,pseudo_loss=6.607742e-002,bt = 7.075257e-002 CLASSNUM = 30,t=38,nRightCount=82,pseudo_loss=1.162647e-001,bt = 1.315605e-001 CLASSNUM = 30,t=39,nRightCount=81,pseudo_loss=1.054283e-001,bt = 1.178534e-001 CLASSNUM = 30,t=40,nRightCount=81,pseudo_loss=1.226380e-001,bt = 1.397803e-001 CLASSNUM = 30,t=41,nRightCount=90,pseudo_loss=8.787655e-002,bt = 9.634283e-002 CLASSNUM = 30,t=42,nRightCount=79,pseudo_loss=7.576371e-002,bt = 8.197439e-002 CLASSNUM = 30,t=43,nRightCount=86,pseudo_loss=7.433169e-002,bt = 8.030057e-002 CLASSNUM = 30,t=44,nRightCount=84,pseudo_loss=1.151267e-001,bt = 1.301053e-001 CLASSNUM = 30,t=45,nRightCount=84,pseudo_loss=1.832165e-001,bt = 2.243146e-001 CLASSNUM = 30,t=46,nRightCount=88,pseudo_loss=1.089111e-001,bt = 1.222225e-001 CLASSNUM = 30,t=47,nRightCount=78,pseudo_loss=1.337746e-001,bt = 1.544339e-001 CLASSNUM = 30,t=48,nRightCount=90,pseudo_loss=9.822702e-002,bt = 1.089266e-001 CLASSNUM = 30,t=49,nRightCount=81,pseudo_loss=1.109255e-001,bt = 1.247651e-001 CLASSNUM = 30,t=50,nRightCount=88,pseudo_loss=9.889528e-002,bt = 1.097489e-001 CLASSNUM = 30,t=51,nRightCount=87,pseudo_loss=1.183282e-001,bt = 1.342088e-001 CLASSNUM = 30,t=52,nRightCount=84,pseudo_loss=6.897002e-002,bt = 7.407927e-002 CLASSNUM = 30,t=53,nRightCount=95,pseudo_loss=3.788617e-002,bt = 3.937805e-002 CLASSNUM = 30,t=54,nRightCount=83,pseudo_loss=1.257402e-001,bt = 1.438247e-001 CLASSNUM = 30,t=55,nRightCount=87,pseudo_loss=8.601007e-002,bt = 9.410396e-002 CLASSNUM = 30,t=56,nRightCount=87,pseudo_loss=7.671805e-002,bt = 8.309277e-002 CLASSNUM = 30,t=57,nRightCount=93,pseudo_loss=7.162030e-002,bt = 7.714548e-002 CLASSNUM = 30,t=58,nRightCount=90,pseudo_loss=1.072154e-001,bt = 1.200910e-001 CLASSNUM = 30,t=59,nRightCount=90,pseudo_loss=9.980463e-002,bt = 1.108700e-001 CLASSNUM = 30,t=60,nRightCount=96,pseudo_loss=7.707182e-002,bt = 8.350793e-002 CLASSNUM = 30,t=61,nRightCount=77,pseudo_loss=1.097009e-001,bt = 1.232180e-001 CLASSNUM = 30,t=62,nRightCount=89,pseudo_loss=7.062622e-002,bt = 7.599334e-002 CLASSNUM = 30,t=63,nRightCount=77,pseudo_loss=8.326865e-002,bt = 9.083212e-002 CLASSNUM = 30,t=64,nRightCount=89,pseudo_loss=8.214943e-002,bt = 8.950196e-002 CLASSNUM = 30,t=65,nRightCount=82,pseudo_loss=1.306572e-001,bt = 1.502942e-001 CLASSNUM = 30,t=66,nRightCount=89,pseudo_loss=7.821277e-002,bt = 8.484905e-002 CLASSNUM = 30,t=67,nRightCount=91,pseudo_loss=1.656456e-001,bt = 1.985315e-001 CLASSNUM = 30,t=68,nRightCount=91,pseudo_loss=1.230230e-001,bt = 1.402807e-001 CLASSNUM = 30,t=69,nRightCount=90,pseudo_loss=7.637886e-002,bt = 8.269501e-002 CLASSNUM = 30,t=70,nRightCount=87,pseudo_loss=1.298111e-001,bt = 1.491757e-001 CLASSNUM = 30,t=71,nRightCount=83,pseudo_loss=1.227966e-001,bt = 1.399864e-001 CLASSNUM = 30,t=72,nRightCount=88,pseudo_loss=9.595709e-002,bt = 1.061422e-001 CLASSNUM = 30,t=73,nRightCount=81,pseudo_loss=1.398282e-001,bt = 1.625584e-001 CLASSNUM = 30,t=74,nRightCount=80,pseudo_loss=1.893838e-001,bt = 2.336295e-001 CLASSNUM = 30,t=75,nRightCount=85,pseudo_loss=1.305754e-001,bt = 1.501859e-001 CLASSNUM = 30,t=76,nRightCount=70,pseudo_loss=9.592723e-002,bt = 1.061056e-001 CLASSNUM = 30,t=77,nRightCount=83,pseudo_loss=1.168841e-001,bt = 1.323543e-001 CLASSNUM = 30,t=78,nRightCount=83,pseudo_loss=9.925798e-002,bt = 1.101958e-001 CLASSNUM = 30,t=79,nRightCount=81,pseudo_loss=1.735899e-001,bt = 2.100530e-001 CLASSNUM = 30,t=80,nRightCount=86,pseudo_loss=1.054758e-001,bt = 1.179127e-001 CLASSNUM = 30,t=81,nRightCount=87,pseudo_loss=1.659501e-001,bt = 1.989691e-001 CLASSNUM = 30,t=82,nRightCount=92,pseudo_loss=8.212421e-002,bt = 8.947203e-002 CLASSNUM = 30,t=83,nRightCount=92,pseudo_loss=1.239333e-001,bt = 1.414656e-001 CLASSNUM = 30,t=84,nRightCount=89,pseudo_loss=1.061380e-001,bt = 1.187410e-001 CLASSNUM = 30,t=85,nRightCount=89,pseudo_loss=6.173430e-002,bt = 6.579618e-002 CLASSNUM = 30,t=86,nRightCount=85,pseudo_loss=1.117139e-001,bt = 1.257635e-001 CLASSNUM = 30,t=87,nRightCount=77,pseudo_loss=1.106125e-001,bt = 1.243694e-001 CLASSNUM = 30,t=88,nRightCount=89,pseudo_loss=7.973433e-002,bt = 8.664273e-002 CLASSNUM = 30,t=89,nRightCount=81,pseudo_loss=1.173067e-001,bt = 1.328963e-001 CLASSNUM = 30,t=90,nRightCount=77,pseudo_loss=1.234260e-001,bt = 1.408050e-001 CLASSNUM = 30,t=91,nRightCount=81,pseudo_loss=1.513671e-001,bt = 1.783658e-001 CLASSNUM = 30,t=92,nRightCount=90,pseudo_loss=1.030897e-001,bt = 1.149386e-001 CLASSNUM = 30,t=93,nRightCount=76,pseudo_loss=8.239366e-002,bt = 8.979194e-002 CLASSNUM = 30,t=94,nRightCount=82,pseudo_loss=9.566983e-002,bt = 1.057908e-001 CLASSNUM = 30,t=95,nRightCount=88,pseudo_loss=1.431582e-001,bt = 1.670765e-001 CLASSNUM = 30,t=96,nRightCount=85,pseudo_loss=1.523549e-001,bt = 1.797390e-001 CLASSNUM = 30,t=97,nRightCount=89,pseudo_loss=8.491231e-002,bt = 9.279145e-002 CLASSNUM = 30,t=98,nRightCount=85,pseudo_loss=1.542240e-001,bt = 1.823462e-001 CLASSNUM = 30,t=99,nRightCount=97,pseudo_loss=8.521641e-002,bt = 9.315472e-002 CLASSNUM = 30,t=100,nRightCount=80,pseudo_loss=1.343779e-001,bt = 1.552385e-001 CLASSNUM = 30,t=101,nRightCount=68,pseudo_loss=1.549654e-001,bt = 1.833835e-001 CLASSNUM = 30,t=102,nRi