哈喽，大家好。我是百变大魔王小明哥。对，没错，我就是传说中的文坛大佬、资深影评人、十八线歌手/演员。

##承接#各种男一号的戏##

哈哈，言归正传。

依旧记得某个时间我去百度大脑创新体验中心【在中关村创业大街，这里是创业公司一条街】，百度做的颜值评分是视频中抓图，速度比较慢，我有两次评测，88分/22岁、92分/24岁，可以，百度的实力还是很强的，前途不可限量啊，我很欣赏！！哈哈

因此有感而发，想做一下颜值评分？【好厉害哦】

寡人直接将75人[我仔细看了下是75人的评分数据]做平均，然后归一化到10分范围内，如果搞成百分制的，那么数据估计不够，那就误差太大了。本次数据来源：华工某人工智能课题组[公开数据]，请直接搜即得。

据我看源码知：应该是做的分类，1~5分 5个类？？

实际数据可能有些评分人的数据缺失了，如下：

本来500个图片，75个人评分，结果如上所示，少了一些。如果是这样的话，我可以做最坏打算，这里的顺序甚至都是错的，并不一定都是1,2,3,4这样的，但每一行的数据没有问题[这个有问题就没法玩了]。于是给出统计结果：归一化到0~10

array([ 3.838612  ,  5.85084479,  3.41617211,  4.22557985,  3.50996185,3.85332768,  4.38745231,  2.79379883,  4.88342518,  5.41013141,3.95470236,  3.66256889,  4.34930055,  3.02597953,  2.47986435,3.91600557,  2.92708775,  3.77702416,  5.03603222,  5.82397202,4.46375583,  3.9296312 ,  3.87730879,  3.99339914,  2.6003149 ,4.49645734,  2.94858596,  4.19669351,  3.39550657,  3.47181009,3.49034094,  4.65451462,  4.65451462,  5.0318512 ,  7.08914189,5.40291626,  6.66347726,  5.29726579,  7.70829044,  9.02183128,4.76733483,  6.44189841,  4.9962908 ,  3.85332768,  5.76091564,8.0565615 ,  7.24392903,  7.97916793,  6.94362018,  7.74480712,6.16256889,  7.14692202,  6.86731666,  5.88954157,  3.91600557,6.27650942,  7.97916793,  7.81793133,  4.22557985,  4.27299703,3.6064313 ,  3.41294737,  2.8995337 ,  3.7171471 ,  3.06467632,3.6064313 ,  3.85332768,  3.7388724 ,  4.54005935,  6.23781263,3.68382487,  4.96081875,  3.49034094,  3.33555381,  2.47986435,4.76733483,  4.58245019,  5.23169624,  4.12039   ,  3.87730879,4.54005935,  4.45776055,  5.11560589,  4.10948949,  4.69266638,3.37425059,  5.11560589,  4.8447284 ,  5.38648338,  4.9962908 ,3.838612  ,  2.8995337 ,  3.98050021,  3.98050021,  3.23460567,4.10948949,  4.38745231,  4.80490997,  4.53010671,  5.22679101,8.98891214,  9.11588597,  9.36983362,  9.36983362,  9.46163629,8.56566607,  9.04196694,  8.8893599 ,  6.23781263, 10.        ,8.52092291,  0.48166596,  3.4020639 ,  1.05244353,  1.29715981,5.22202204,  5.17969744,  5.22202204,  3.0902925 ,  6.32246185,3.52903773,  3.65601155,  5.812148  ,  7.67957992,  5.42518016,5.03391267,  4.61254769,  2.851844  ,  3.41294737,  2.98728275,4.26427663,  4.12039   ,  9.53793981,  4.54005935,  5.19299945,4.14818628,  5.68461212,  3.64512808,  4.18688306,  2.67770847,3.77702416,  8.98528432,  4.96081875,  3.6365288 ,  5.56061891,4.49645734,  3.12844426,  3.49034094,  4.50190759,  3.05214074,4.68994126,  3.33555381,  2.21334706,  0.93635318,  2.74692666,2.71640526,  1.90758796,  4.38745231,  0.        ,  2.48422455,2.51801611,  3.58626537,  3.34092836,  3.41294737,  3.31920305,9.44964573,  8.62229758,  4.15854175,  9.84315388,  3.02597953,3.50996185,  9.00381518,  3.34092836,  3.02597953,  1.98654091,2.87119239,  8.48222612,  3.54811361,  5.38648338,  2.90988918,3.91865604,  3.5666596 ,  5.37939805,  2.29074063,  3.47181009,9.36983362,  2.36275964,  8.90789075,  9.41094895,  2.51801611,3.02597953,  2.55616787,  8.21134863,  8.94658754,  3.0023315 ,8.43153879,  3.20474777,  3.16659602,  6.70217404,  3.05317187,3.79991522,  3.89147944,  4.14818628,  2.17465028,  3.66256889,2.21334706,  3.99339914,  2.56161812,  8.7918004 ,  2.13649852,4.05574396,  4.31114879,  3.96778296,  4.53515412,  3.39550657,9.21746503,  5.65736087,  3.16659602,  2.56161812,  3.45164416,2.83249561,  3.85332768,  2.98728275,  1.79313268,  3.54811361,4.46375583,  4.76733483,  3.56773451,  3.49034094,  3.99339914,2.09834676,  2.25095379,  4.18688306,  3.56773451,  5.34778659,3.1033731 ,  2.94858596,  2.94858596,  2.67062315,  4.72863804,2.83249561,  7.10311573,  4.49645734,  3.68382487,  5.85084479,4.19669351,  2.6003149 ,  2.93768546,  3.11519712,  4.22557985,3.39916496,  2.43439581,  1.78768243,  3.54759098,  3.39550657,4.88342518,  2.88946588,  2.32943741,  3.49034094,  3.21946345,2.48422455,  2.32943741,  3.39550657,  1.56422213,  3.58626537,2.87119239,  1.23410343,  2.28910555,  2.2875159 ,  3.64512808,5.64646036,  2.82323018,  2.40038152,  2.71640526,  3.06467632,4.13098771,  3.28105129,  5.7111064 ,  3.56773451,  3.06467632,1.64052565,  4.92212196,  1.83605341,  3.1033731 ,  2.97583722,2.28910555,  1.94246957,  2.6003149 ,  2.94858596,  2.63901169,3.14206988,  2.94858596,  4.68994126,  3.94287834,  4.9597287 ,3.31920305,  3.29685702,  4.22557985,  5.64646036,  3.03995337,2.17465028,  3.6064313 ,  4.07079271,  3.49034094,  2.98728275,4.84527342,  3.838612  ,  3.79239084,  2.94858596,  4.07079271,5.46387695,  5.0769091 ,  2.75510204,  3.62441713,  4.26427663,5.07418398,  2.05855992,  2.97583722,  4.22557985,  5.62555529,1.94246957,  2.74692666,  3.20474777,  3.01398898,  4.04408648,6.35390299,  3.25816024,  2.90988918,  2.66373463,  3.90525646,2.98728275,  5.03603222,  1.94246957,  5.18440017,  4.04408648,4.73081814,  2.47986435,  3.64512808,  1.55550173,  2.67770847,4.58245019,  1.82637922,  4.2814752 ,  4.30297341,  2.75510204,4.03209592,  7.0199237 ,  2.25095379,  5.15048749,  2.6003149 ,3.28105129,  2.24989402,  4.22557985,  3.05214074,  3.99339914,6.04432871,  4.8447284 ,  4.66078615,  2.71640526,  3.81517592,1.78768243,  3.86763459,  3.21946345,  5.03603222,  4.72863804,4.15854175,  2.28910555,  2.67062315,  4.9597287 ,  5.03821232,2.1370284 ,  3.39916496,  3.91600557,  2.29074063,  3.6064313 ,3.07757524,  2.79379883,  4.8447284 ,  3.9296312 ,  6.04970326,9.53793981,  9.76685036,  3.18076667,  2.93768546,  3.0902925 ,2.39728931,  3.1033731 ,  3.35735481,  6.14243323,  6.3152062 ,5.95167444,  4.19669351,  5.23169624,  2.96470962,  3.70072064,3.41294737,  2.8995337 ,  3.1033731 ,  5.46387695,  3.37425059,2.28910555,  4.07079271,  2.29074063,  4.23484527,  1.74898565,2.3681342 ,  2.17465028,  2.87119239,  3.33555381,  1.24592745,2.8995337 ,  1.01374674,  3.1033731 ,  1.67867741,  4.27299703,4.10948949,  5.53200509,  2.47986435,  3.20474777,  3.05214074,3.52903773,  3.85332768,  3.18076667,  4.80712166,  3.91600557,4.46375583,  2.78507842,  2.59431963,  1.20723067,  2.13595349,2.21280203,  1.94246957,  1.60237389,  2.13595349,  3.79991522,2.3681342 ,  4.30297341,  3.18076667,  3.34092836,  0.93312844,1.87367529,  2.63901169,  3.66256889,  2.02204324,  4.2814752 ,2.060195  ,  2.82323018,  2.01986314,  4.58245019,  1.98116635,3.96778296,  3.49034094,  3.77702416,  3.838612  ,  2.8995337 ,3.02597953,  2.32943741,  1.865076  ,  2.13649852,  4.99788046,2.8995337 ,  3.33555381,  2.71640526,  2.66373463,  7.63089687,8.25004542,  6.48579907,  6.86731666,  3.18076667,  3.76121843,3.14206988,  2.7087749 ,  5.22679101,  3.6064313 ,  2.71640526,2.17465028,  2.63901169,  2.67770847,  2.2875159 ,  2.060195  ,1.59419851,  3.95470236,  3.838612  ,  4.65124447,  1.94891903,2.78507842,  2.32943741,  5.61866408,  3.87730879,  2.97583722,3.9296312 ,  3.70072064,  5.68461212,  2.40683098,  4.76733483,5.38648338,  3.29685702,  3.66256889,  4.73499916,  5.76091564])

我想先做个回归模型，然后再做个分类【1~10】

然而第一步都需要有人脸识别/人脸检测，这个库安装失败，我也是醉了

Windows下失败原因

服务器上是因为个人名下没空间了，我特么真的太难了。

后来搜索一下发现缺失cmake，按照这个大佬的博文安装cmake ok ：注意，安装后关闭cmd重开

然后Windows下成功了

然而服务器咋安装呢？？https://cmake.org/download/ 官网也不给个说明

参考一个博文：在无sudo权限下安装cmake，我添加的路径是：如下，切记一定按照人家给的安装。

vi ~/.bashrc
export PATH="/your/path/cmake-3.16.0-rc4/bin:$PATH"

最后一定要用source，不用则无效

【有想跑路的大佬，别删库了，把bashrc删了，环境就死了，试试如下：没有sudo权限就不加

sudo rm -rf ~/.bashrc

】

服务器也安装成功，

$ cmake
Usagecmake [options] <path-to-source>cmake [options] <path-to-existing-build>cmake [options] -S <path-to-source> -B <path-to-build>Specify a source directory to (re-)generate a build system for it in the
current working directory.  Specify an existing build directory to
re-generate its build system.Run 'cmake --help' for more information.

而目前我唯一能用的服务器在跑那个博文的东西，不能再跑项目了，只好Windows了。条件艰苦啊！

我试了下库的切图能力【人脸检测】还算一般，切得有点狠。

【图片数据来源于我的微信收藏：哈哈，本人保证绝不泄露任何人的隐私，除非得到允许和授权。我将给这些人脸打分，男的和丑的大可放心，你的照片我懒得看，哈哈。后期我将用这些数据进行人脸生成，到时候就可以公开GAN的数据了，哈哈，不知道有多少妹子要拉黑我了，晚了！！[上面的纯属玩笑，数据源于facenet公开数据，不涉及隐私]】

本想直接参考别人的，结果face_detector这个库把我坑了，卧槽，注意啦，别安装这个库，它指定其他依赖库的版本为特定的某一个，而不是>=多少版本，这特么真是个大坑啊，吓得我赶紧终止了。卧槽，冷汗都出来了

还是自己画框吧。用Image搞得

下面我该做评分部分了，搞了半天才进入正题。emm是我太Low

但是我发现一个细节问题，有鬼？？

图片命名格式是：如果检测到多个人脸，那么必有_1,_2来标记，这个特么的咋回事？？少一个图被偷吃了？？？

而另外一个同样情况的则没有问题，卧槽

【后记：发现是draw的问题，但我一直没找到错在哪里，这是采用类的方式画框，算了，直接用改变数据的方式吧

错误提示如下：

Traceback (most recent call last):File "<pyshell#172>", line 1, in <module>draw.gty(f,outline=(0,28,0),width=3)File "C:\.\AppData\Roaming\Python\Python36\site-packages\", line 247, in rectangleink, fill = self._getink(outline, fill)File "C:\.\AppData\Roaming\Python\Python36\site-packages\", line 114, in _getinkink = self.draw.draw_ink(ink)
TypeError: function takes exactly 1 argument (3 given)

】

关注细节问题事关成败，但对于性格来说也有好坏，很可能顾虑太多，投鼠忌器。说到底还是穷，有钱人才不会前怕狼后怕虎。

似乎人的影子也检测到了，这是人还是人的影子啊？？

emm，下面这是俩人？？？你在逗我，看来这个库也不是100%啊

当然也有没找到 人脸的，而且是很明显的错误，一张图很明显的就是脸，emm，可能脸太大了，找不到。。。。。。

我已经设置，没找到脸的就不要画了，结果又出幺蛾子。。。。。。。。这是要气死我啊【后来发现是之前的数据没有删】

下面开始回归模型：

在对500张人脸识别时告诉我：搜了下说图像损坏不可用，不可用还能人脸识别？？

UserWarning: Corrupt EXIF data.  Expecting to read 2 bytes but only got 0.

在cmd下出错后再也不能存入新的图片了，最后只保存288个，而shell脚本下可以全部保存，尽管同样的错。

【仔细查看是因为标签名字相同，同样颜值的不少啊[看来想细化到100分不容易做啊,何况我这还是10分内]】

序号: 358Warning (from warnings module):File "C:\.\AppData\Roaming\Python\Python36\site-packages\PIL\TiffImagePlugin.py", line 802warnings.warn(str(msg))
UserWarning: Corrupt EXIF data.  Expecting to read 2 bytes but only got 0.

just warning, no balance for data preprocessing.So Let's begin.

Traing :referenced the keras version in github FaceRank

the result may be the best: val_loss 6.32,but the model is so big,187M-unbelievable !

will not wait for the end of the train if I find overfit in the train log.

Now will try the test for the biggest model,as follows

又出幺蛾子了，卧槽，分明将数据整到0~10之间了，结果测试下500的脸全部都在5之内，卧槽。咋回事鸭？？！

这尼玛真是百思不得其解啊。卧槽

仔细查看了下6分以上的在500个中只有44个，数据严重不均衡。。。。。。。这样的话，能学到个鬼，高颜值的根本发觉不了。

怪我瞎整成10之内的，改变了数据分布。算了算了，寡人累了。

再一看，3.7分以上的只有45个左右，数据分布是正态分布真的好吗？尽管实际中的确如此，但我们见到的最多的还是4.5分以上的，因为分低的都视而不见自动忽略了，哈哈哈。

emm，这特么纯属扯淡了，模型有问题

predict score= 1.718684, true score= 1.197180
predict score= 1.808650, true score= 1.375000
predict score= 1.959868, true score= 1.541670
predict score= 2.240227, true score= 1.542860
predict score= 1.823932, true score= 1.571430
predict score= 1.960922, true score= 1.585710
predict score= 1.851269, true score= 1.642860
predict score= 2.441353, true score= 1.652780
predict score= 1.843677, true score= 1.657140
predict score= 2.771203, true score= 1.676060
predict score= 2.179285, true score= 1.771430
predict score= 2.411575, true score= 1.774650
predict score= 2.231192, true score= 1.785710
predict score= 1.513166, true score= 1.788730
predict score= 1.811773, true score= 1.802820
predict score= 1.877252, true score= 1.816900
predict score= 1.617169, true score= 1.842860
predict score= 2.452534, true score= 1.857140
predict score= 2.341800, true score= 1.857140
predict score= 2.113133, true score= 1.859150
predict score= 2.048269, true score= 1.871430
predict score= 2.107901, true score= 1.875000
predict score= 1.810346, true score= 1.885710
predict score= 1.915630, true score= 1.888890
predict score= 2.096509, true score= 1.901410
predict score= 2.048573, true score= 1.914290
predict score= 2.272068, true score= 1.914290
predict score= 2.167451, true score= 1.914290
predict score= 1.519081, true score= 1.914290
predict score= 1.902534, true score= 1.916670
predict score= 2.228856, true score= 1.928570
predict score= 2.199411, true score= 1.930560
predict score= 1.850452, true score= 1.942860
predict score= 1.911767, true score= 1.943660
predict score= 2.049870, true score= 1.957140
predict score= 1.869277, true score= 1.957750
predict score= 1.877480, true score= 1.957750
predict score= 2.493312, true score= 1.971830
predict score= 1.634227, true score= 1.985710
predict score= 1.811761, true score= 1.985710
predict score= 1.950510, true score= 1.985920
predict score= 2.259091, true score= 1.985920
predict score= 2.496687, true score= 1.986110
predict score= 1.610104, true score= 2.014080
predict score= 2.190854, true score= 2.014290
predict score= 2.067441, true score= 2.014290
predict score= 1.905296, true score= 2.027780
predict score= 1.821375, true score= 2.028170
predict score= 2.146346, true score= 2.028170
predict score= 2.219706, true score= 2.041670
predict score= 1.937982, true score= 2.041670
predict score= 2.181840, true score= 2.042250
predict score= 1.974387, true score= 2.042250
predict score= 2.087495, true score= 2.042250
predict score= 2.251927, true score= 2.042250
predict score= 2.645653, true score= 2.042860
predict score= 2.471311, true score= 2.042860
predict score= 2.032948, true score= 2.042860
predict score= 2.461302, true score= 2.057140
predict score= 1.996981, true score= 2.057140
predict score= 1.983116, true score= 2.057140
predict score= 2.173713, true score= 2.057140
predict score= 2.201285, true score= 2.069440
predict score= 2.085149, true score= 2.071430
predict score= 2.178454, true score= 2.071430
predict score= 1.834912, true score= 2.082190
predict score= 1.661496, true score= 2.083330
predict score= 2.214813, true score= 2.085710
predict score= 2.460681, true score= 2.095890
predict score= 1.819628, true score= 2.000000
predict score= 2.085342, true score= 2.000000
predict score= 1.746305, true score= 2.000000
predict score= 2.156060, true score= 2.000000
predict score= 2.156083, true score= 2.112680
predict score= 2.101058, true score= 2.112680
predict score= 1.855611, true score= 2.112680
predict score= 2.408434, true score= 2.112680
predict score= 1.880219, true score= 2.114290
predict score= 2.149660, true score= 2.114290
predict score= 1.975354, true score= 2.126760
predict score= 2.665725, true score= 2.126760
predict score= 2.529907, true score= 2.140850
predict score= 2.657847, true score= 2.142860
predict score= 2.154451, true score= 2.142860
predict score= 2.021443, true score= 2.154930
predict score= 2.487453, true score= 2.157140
predict score= 2.137426, true score= 2.157140
predict score= 1.805872, true score= 2.157140
predict score= 2.422641, true score= 2.157140
predict score= 2.226496, true score= 2.171430
predict score= 1.871087, true score= 2.171430
predict score= 2.179405, true score= 2.171430
predict score= 2.167445, true score= 2.180560
predict score= 2.127507, true score= 2.180560
predict score= 2.529450, true score= 2.183100
predict score= 2.364020, true score= 2.183100
predict score= 2.204085, true score= 2.185710
predict score= 2.202889, true score= 2.185710
predict score= 2.502658, true score= 2.185710
predict score= 2.298743, true score= 2.197180
predict score= 2.150085, true score= 2.211270
predict score= 2.725637, true score= 2.211270
predict score= 2.273650, true score= 2.214290
predict score= 2.269578, true score= 2.214290
predict score= 2.230801, true score= 2.225350
predict score= 2.098568, true score= 2.225350
predict score= 2.050913, true score= 2.228570
predict score= 2.439862, true score= 2.228570
predict score= 2.371387, true score= 2.239440
predict score= 2.055244, true score= 2.239440
predict score= 1.933375, true score= 2.242860
predict score= 2.384759, true score= 2.242860
predict score= 2.926850, true score= 2.257140
predict score= 2.464794, true score= 2.257140
predict score= 1.740831, true score= 2.257140
predict score= 2.156232, true score= 2.250000
predict score= 2.034206, true score= 2.263890
predict score= 2.075905, true score= 2.267610
predict score= 2.101728, true score= 2.267610
predict score= 1.618862, true score= 2.267610
predict score= 1.843977, true score= 2.267610
predict score= 2.245442, true score= 2.267610
predict score= 2.687862, true score= 2.267610
predict score= 2.064765, true score= 2.271430
predict score= 2.283896, true score= 2.271430
predict score= 2.254808, true score= 2.277780
predict score= 2.563015, true score= 2.281690
predict score= 1.904646, true score= 2.281690
predict score= 1.979742, true score= 2.285710
predict score= 2.492990, true score= 2.285710
predict score= 2.457470, true score= 2.285710
predict score= 1.977859, true score= 2.285710
predict score= 2.467931, true score= 2.285710
predict score= 1.500797, true score= 2.285710
predict score= 2.471922, true score= 2.291670
predict score= 2.048811, true score= 2.295770
predict score= 2.556995, true score= 2.295770
predict score= 2.346016, true score= 2.295770
predict score= 1.625766, true score= 2.200000
predict score= 2.429528, true score= 2.200000
predict score= 2.925484, true score= 2.200000
predict score= 2.221448, true score= 2.200000
predict score= 2.108144, true score= 2.200000
predict score= 2.295480, true score= 2.305560
predict score= 2.021484, true score= 2.309860
predict score= 2.369900, true score= 2.314290
predict score= 2.194779, true score= 2.314290
predict score= 1.973186, true score= 2.314290
predict score= 2.543079, true score= 2.314290
predict score= 1.825481, true score= 2.314290
predict score= 2.396766, true score= 2.319440
predict score= 2.021297, true score= 2.323940
predict score= 2.194350, true score= 2.323940
predict score= 2.071592, true score= 2.323940
predict score= 2.488394, true score= 2.324320
predict score= 2.467489, true score= 2.328570
predict score= 2.356105, true score= 2.328570
predict score= 2.295653, true score= 2.328570
predict score= 2.283711, true score= 2.333330
predict score= 1.969063, true score= 2.338030
predict score= 2.438116, true score= 2.338030
predict score= 1.973784, true score= 2.342860
predict score= 1.974746, true score= 2.342860
predict score= 2.521133, true score= 2.342860
predict score= 2.350390, true score= 2.342860
predict score= 1.565833, true score= 2.342860
predict score= 2.348210, true score= 2.347220
predict score= 2.464535, true score= 2.352110
predict score= 2.798338, true score= 2.357140
predict score= 2.575615, true score= 2.357140
predict score= 2.247730, true score= 2.366200
predict score= 1.997991, true score= 2.366200
predict score= 2.467346, true score= 2.371430
predict score= 1.631660, true score= 2.371430
predict score= 2.253988, true score= 2.371430
predict score= 2.105416, true score= 2.371430
predict score= 2.322992, true score= 2.380280
predict score= 2.094358, true score= 2.380280
predict score= 1.896040, true score= 2.380280
predict score= 2.892632, true score= 2.385710
predict score= 2.344193, true score= 2.385710
predict score= 2.323144, true score= 2.391300
predict score= 1.947908, true score= 2.300000
predict score= 2.382154, true score= 2.300000
predict score= 2.924040, true score= 2.300000
predict score= 2.262280, true score= 2.300000
predict score= 2.559019, true score= 2.408450
predict score= 2.355963, true score= 2.408450
predict score= 2.105036, true score= 2.414290
predict score= 2.012600, true score= 2.414290
predict score= 2.266146, true score= 2.422540
predict score= 2.678256, true score= 2.422540
predict score= 2.213278, true score= 2.428570
predict score= 1.728441, true score= 2.428570
predict score= 1.875831, true score= 2.428570
predict score= 2.258107, true score= 2.428570
predict score= 2.567168, true score= 2.430560
predict score= 2.167613, true score= 2.430560
predict score= 2.044671, true score= 2.430560
predict score= 2.724150, true score= 2.436620
predict score= 2.251495, true score= 2.442860
predict score= 2.518898, true score= 2.442860
predict score= 2.485991, true score= 2.450700
predict score= 2.121863, true score= 2.450700
predict score= 2.563817, true score= 2.450700
predict score= 2.184684, true score= 2.450700
predict score= 2.387010, true score= 2.452050
predict score= 1.868272, true score= 2.452050
predict score= 2.189674, true score= 2.453120
predict score= 2.014791, true score= 2.457140
predict score= 1.736987, true score= 2.457140
predict score= 2.317398, true score= 2.457140
predict score= 2.421174, true score= 2.457140
predict score= 2.128033, true score= 2.458330
predict score= 2.277461, true score= 2.471430
predict score= 1.924759, true score= 2.478870
predict score= 2.274218, true score= 2.478870
predict score= 2.459739, true score= 2.485710
predict score= 2.184052, true score= 2.485710
predict score= 2.340604, true score= 2.485710
predict score= 1.720737, true score= 2.485710
predict score= 2.629542, true score= 2.485710
predict score= 1.866092, true score= 2.485710
predict score= 2.438206, true score= 2.485710
predict score= 2.809671, true score= 2.492960
predict score= 2.154732, true score= 2.492960
predict score= 2.369350, true score= 2.400000
predict score= 2.867656, true score= 2.506850
predict score= 2.627836, true score= 2.507040
predict score= 2.485245, true score= 2.507040
predict score= 2.434034, true score= 2.513890
predict score= 2.191675, true score= 2.514290
predict score= 2.256542, true score= 2.514290
predict score= 2.447741, true score= 2.514290
predict score= 2.556174, true score= 2.521130
predict score= 2.432296, true score= 2.521130
predict score= 2.258201, true score= 2.528570
predict score= 2.266649, true score= 2.528570
predict score= 2.438804, true score= 2.528570
predict score= 2.414168, true score= 2.528570
predict score= 2.481726, true score= 2.528570
predict score= 2.492521, true score= 2.535210
predict score= 2.509201, true score= 2.539680
predict score= 1.892617, true score= 2.542860
predict score= 2.098646, true score= 2.542860
predict score= 2.451684, true score= 2.542860
predict score= 2.381890, true score= 2.546880
predict score= 2.279152, true score= 2.549300
predict score= 2.547939, true score= 2.549300
predict score= 1.901453, true score= 2.549300
predict score= 2.293876, true score= 2.549300
predict score= 2.283620, true score= 2.557140
predict score= 2.505839, true score= 2.557140
predict score= 2.531735, true score= 2.563380
predict score= 2.291978, true score= 2.563380
predict score= 2.497723, true score= 2.569440
predict score= 2.288044, true score= 2.577460
predict score= 2.594133, true score= 2.585710
predict score= 1.830582, true score= 2.591550
predict score= 2.602398, true score= 2.591550
predict score= 1.784458, true score= 2.591550
predict score= 2.423788, true score= 2.597220
predict score= 2.483742, true score= 2.500000
predict score= 1.989074, true score= 2.500000
predict score= 2.244470, true score= 2.605630
predict score= 2.380435, true score= 2.614290
predict score= 2.560905, true score= 2.614290
predict score= 1.579068, true score= 2.614290
predict score= 1.941065, true score= 2.614290
predict score= 2.605946, true score= 2.614290
predict score= 1.882363, true score= 2.619720
predict score= 2.171372, true score= 2.619720
predict score= 2.262565, true score= 2.619720
predict score= 2.525367, true score= 2.619720
predict score= 2.407974, true score= 2.619720
predict score= 2.196111, true score= 2.625000
predict score= 2.098053, true score= 2.628570
predict score= 2.163968, true score= 2.628570
predict score= 2.242512, true score= 2.628570
predict score= 2.280234, true score= 2.633800
predict score= 2.035549, true score= 2.638890
predict score= 2.550191, true score= 2.642860
predict score= 2.376678, true score= 2.642860
predict score= 2.117026, true score= 2.642860
predict score= 2.492067, true score= 2.642860
predict score= 2.503732, true score= 2.643840
predict score= 2.566395, true score= 2.647890
predict score= 2.463528, true score= 2.647890
predict score= 2.134969, true score= 2.647890
predict score= 2.331894, true score= 2.652780
predict score= 2.382891, true score= 2.657140
predict score= 2.036773, true score= 2.657140
predict score= 2.052912, true score= 2.661970
predict score= 2.181529, true score= 2.661970
predict score= 2.658096, true score= 2.666670
predict score= 2.248697, true score= 2.666670
predict score= 2.250623, true score= 2.671430
predict score= 2.620638, true score= 2.671430
predict score= 1.998400, true score= 2.671430
predict score= 2.408944, true score= 2.671430
predict score= 2.428775, true score= 2.685710
predict score= 2.445678, true score= 2.690140
predict score= 2.663245, true score= 2.690140
predict score= 1.713513, true score= 2.694440
predict score= 1.800315, true score= 2.600000
predict score= 2.025496, true score= 2.600000
predict score= 2.136575, true score= 2.714290
predict score= 2.359882, true score= 2.714290
predict score= 1.936338, true score= 2.714290
predict score= 2.384880, true score= 2.718310
predict score= 2.153433, true score= 2.718310
predict score= 2.151277, true score= 2.722220
predict score= 2.535037, true score= 2.728570
predict score= 2.201995, true score= 2.728570
predict score= 2.513853, true score= 2.732390
predict score= 2.221715, true score= 2.732390
predict score= 2.424844, true score= 2.742860
predict score= 2.363019, true score= 2.742860
predict score= 2.522990, true score= 2.746480
predict score= 2.643060, true score= 2.746480
predict score= 2.232424, true score= 2.746480
predict score= 2.089197, true score= 2.757140
predict score= 2.799828, true score= 2.757140
predict score= 1.999122, true score= 2.757140
predict score= 2.331923, true score= 2.757140
predict score= 2.152368, true score= 2.757140
predict score= 2.558501, true score= 2.757140
predict score= 1.922127, true score= 2.760560
predict score= 2.536332, true score= 2.771430
predict score= 2.337938, true score= 2.771430
predict score= 1.604730, true score= 2.774650
predict score= 2.334275, true score= 2.774650
predict score= 2.598979, true score= 2.777780
predict score= 2.230651, true score= 2.777780
predict score= 2.234789, true score= 2.785710
predict score= 2.443779, true score= 2.785710
predict score= 2.387771, true score= 2.788730
predict score= 2.445973, true score= 2.700000
predict score= 2.294485, true score= 2.700000
predict score= 1.707063, true score= 2.700000
predict score= 2.006861, true score= 2.802820
predict score= 1.794108, true score= 2.816900
predict score= 2.463207, true score= 2.816900
predict score= 2.347746, true score= 2.816900
predict score= 2.649271, true score= 2.842860
predict score= 2.168490, true score= 2.845070
predict score= 2.275237, true score= 2.845070
predict score= 2.254925, true score= 2.845070
predict score= 2.762258, true score= 2.857140
predict score= 2.008695, true score= 2.857140
predict score= 2.730464, true score= 2.857140
predict score= 2.691063, true score= 2.859150
predict score= 2.459685, true score= 2.869570
predict score= 2.719155, true score= 2.871430
predict score= 2.407809, true score= 2.873240
predict score= 2.565783, true score= 2.873240
predict score= 2.399129, true score= 2.873240
predict score= 2.727941, true score= 2.888890
predict score= 2.066723, true score= 2.888890
predict score= 2.252917, true score= 2.888890
predict score= 2.576528, true score= 2.914290
predict score= 2.636665, true score= 2.915490
predict score= 2.325417, true score= 2.915490
predict score= 2.367187, true score= 2.917810
predict score= 2.703972, true score= 2.928570
predict score= 2.312363, true score= 2.928570
predict score= 2.372347, true score= 2.929580
predict score= 2.675235, true score= 2.942860
predict score= 2.132493, true score= 2.942860
predict score= 2.486774, true score= 2.943660
predict score= 2.498966, true score= 2.945210
predict score= 2.126777, true score= 2.957140
predict score= 2.782847, true score= 2.957140
predict score= 2.219194, true score= 2.957140
predict score= 2.556586, true score= 2.957140
predict score= 2.074275, true score= 2.971010
predict score= 2.005307, true score= 2.971830
predict score= 2.536964, true score= 2.985710
predict score= 2.681552, true score= 2.985710
predict score= 2.186269, true score= 2.985710
predict score= 2.401629, true score= 2.985920
predict score= 2.295264, true score= 2.900000
predict score= 2.023592, true score= 3.014290
predict score= 2.502831, true score= 3.028170
predict score= 2.626818, true score= 3.028170
predict score= 2.056643, true score= 3.028570
predict score= 2.231221, true score= 3.028570
predict score= 2.386369, true score= 3.041670
predict score= 2.331984, true score= 3.041670
predict score= 2.110380, true score= 3.042250
predict score= 2.373262, true score= 3.054790
predict score= 2.673696, true score= 3.055560
predict score= 2.596211, true score= 3.056340
predict score= 2.196418, true score= 3.056340
predict score= 2.146620, true score= 3.056340
predict score= 2.489212, true score= 3.057140
predict score= 2.237127, true score= 3.070420
predict score= 2.238972, true score= 3.071430
predict score= 2.506298, true score= 3.085710
predict score= 2.477121, true score= 3.085710
predict score= 2.613854, true score= 3.098590
predict score= 2.050368, true score= 3.000000
predict score= 2.382693, true score= 3.000000
predict score= 2.157833, true score= 3.109380
predict score= 2.152849, true score= 3.111110
predict score= 2.739403, true score= 3.114290
predict score= 2.169423, true score= 3.125000
predict score= 2.757667, true score= 3.125000
predict score= 2.556656, true score= 3.126760
predict score= 2.526545, true score= 3.126760
predict score= 1.991197, true score= 3.128570
predict score= 2.549959, true score= 3.128570
predict score= 3.410070, true score= 3.152780
predict score= 2.704418, true score= 3.171430
predict score= 2.473015, true score= 3.183100
predict score= 2.688867, true score= 3.185710
predict score= 2.327588, true score= 3.185710
predict score= 2.387590, true score= 3.185710
predict score= 3.136008, true score= 3.191780
predict score= 2.359517, true score= 3.194440
predict score= 2.342927, true score= 3.214290
predict score= 2.290080, true score= 3.214290
predict score= 2.019578, true score= 3.239440
predict score= 2.208402, true score= 3.250000
predict score= 2.551875, true score= 3.271430
predict score= 2.061460, true score= 3.273970
predict score= 2.397108, true score= 3.281690
predict score= 2.423600, true score= 3.281690
predict score= 2.467963, true score= 3.285710
predict score= 2.682195, true score= 3.295770
predict score= 2.619075, true score= 3.295770
predict score= 2.649990, true score= 3.200000
predict score= 2.698799, true score= 3.305560
predict score= 3.079544, true score= 3.323940
predict score= 2.631431, true score= 3.323940
predict score= 2.534110, true score= 3.342860
predict score= 2.318895, true score= 3.347220
predict score= 2.513512, true score= 3.357140
predict score= 2.478343, true score= 3.357140
predict score= 2.785716, true score= 3.371430
predict score= 2.370877, true score= 3.394370
predict score= 2.857731, true score= 3.428570
predict score= 2.285085, true score= 3.430560
predict score= 2.704370, true score= 3.464790
predict score= 3.002744, true score= 3.472220
predict score= 2.852870, true score= 3.514290
predict score= 3.067591, true score= 3.528570
predict score= 2.655995, true score= 3.531250
predict score= 2.245549, true score= 3.542860
predict score= 2.491201, true score= 3.575340
predict score= 2.818178, true score= 3.591550
predict score= 2.240878, true score= 3.500000
predict score= 2.325336, true score= 3.500000
predict score= 2.582752, true score= 3.657140
predict score= 2.787440, true score= 3.671430
predict score= 3.211563, true score= 3.732390
predict score= 3.147078, true score= 3.732390
predict score= 3.027478, true score= 3.760560
predict score= 2.562897, true score= 3.788730
predict score= 3.267259, true score= 3.814290
predict score= 2.495403, true score= 3.819440
predict score= 2.933606, true score= 3.835620
predict score= 3.205050, true score= 3.871430
predict score= 2.598254, true score= 4.014290
predict score= 2.589359, true score= 4.032260
predict score= 2.817161, true score= 4.042860
predict score= 3.095720, true score= 4.056340
predict score= 2.969477, true score= 4.083330
predict score= 3.352556, true score= 4.142860
predict score= 3.226750, true score= 4.142860
predict score= 2.591966, true score= 4.171430
predict score= 2.788876, true score= 4.228570
predict score= 3.077783, true score= 4.242860
predict score= 3.218482, true score= 4.309860
predict score= 2.857835, true score= 4.328570
predict score= 3.235997, true score= 4.342860
predict score= 2.938557, true score= 4.359380
predict score= 2.962600, true score= 4.380280
predict score= 3.334735, true score= 4.442860
predict score= 2.866377, true score= 4.478870
predict score= 2.872341, true score= 4.485710
predict score= 3.430226, true score= 4.514290
predict score= 2.889666, true score= 4.515620
predict score= 2.851023, true score= 4.521130
predict score= 3.184268, true score= 4.527780
predict score= 2.788523, true score= 4.535210
predict score= 2.371465, true score= 4.562500
predict score= 3.263453, true score= 4.500000
predict score= 3.249276, true score= 4.656250
predict score= 3.184888, true score= 4.656250
predict score= 2.804224, true score= 4.656250
predict score= 3.041454, true score= 4.671430
predict score= 2.527597, true score= 4.685710
predict score= 3.136914, true score= 4.690140
predict score= 2.864124, true score= 4.600000
predict score= 2.583934, true score= 4.718310
predict score= 3.330996, true score= 4.718310
predict score= 3.463548, true score= 4.802820
predict score= 3.255983, true score= 4.830990
predict score= 3.161605, true score= 4.888890

直接测试500数据就是这狗样子，没法玩。回归的话数据还是不够。至少不够细化，所以说还是分类算了。

作为资深回归砖家，没有评价指标怎么可能，emm，你看看吧，我不想说话

超过50%误差的个数： 434
均方根误差： 3.1062065057541814
手动计算R^2————
R2=-3544.708161
sklearn计算r2————
r2=-5.942675

按道理说不能测试训练集，我连训练集都放进去了，这效果还是这么差劲，垃圾，模型垃圾，归根结底还是我垃圾。

请教了大神同事，修改了loss函数，结果有提高，但也不尽如人意，因为我的模型垃圾，这是关键。

超过20%误差的个数： 282
均方根误差： 0.774139995187755
手动计算R^2————
R2=-1033.273818
sklearn计算r2————
r2=-0.730278

r2如果是负的说明模型直接不能用。

我又加了block，与VGG差不多那种，结果如下，有提高，但仍旧不能用

超过20%误差的个数： 218
均方根误差： 0.5609995224490936
手动计算R^2————
R2=-867.115891
sklearn计算r2————
r2=-0.253889

【我将收藏的照片切割了一下，发现什么鬼都有，有表情包，有石像，这些我都忍了，你把狗头给我切出来是啥意思？？？啥头都不是的你也给我切出来了，我。。。。。

后来也发现画框的坐标有问题，如果是一个图多个人脸的话。

】

csdn is LowB, when I use My English answer the question,then delete by admin ??what ??stupid, foolish

寡人真的累了，搞了一天，同样的模型，结果我非要改参数，结果懵逼了，再也回不去了，以后一定要记住，每训练一次都要记住改了哪里。反正都不行，r2都是负数，不能用。上分类吧

先看看别人怎么标记的数据，不然又是瞎搞。数据不均衡太严重了。

限于篇幅及阅读的方便，请看下一篇：https://blog.csdn.net/SPESEG/article/details/103194376

另外有相关问题可以加入QQ群讨论，不设微信群

QQ群：868373192

语音深度学习群

那些年你追过的女孩——颜值到底有几分？？？相关推荐

  1. 【clickhouse】BAT 都在追捧的 ClickHouse ，到底有多快 笔记

    文章目录 1.概述 1.概述 视频地址:BAT 都在追捧的 ClickHouse ,到底有多快 我们的架构如下 我们的数据流转大概内容如下

  2. 四川大学江安校区计算机学院照片,几张图告诉你四川大学江安校区颜值到底有多高...

    原标题:几张图告诉你四川大学江安校区颜值到底有多高 2016年四川大学120周年校庆,得以有幸返回母校.当时读书时在九眼桥的四川大学老校区,听说校庆在江安校区举办,心儿扑腾腾地跳.新校区颜值到底有多高 ...

  3. 颜值测试软件99分,颜值测试软件(超准的颜值打分器)

    颜值测试软件--颜值app,网络上很多网友都说范爷的颜值已经爆表了,嘴.鼻.眼都是黄金分割比例,那么范爷的颜值到底是多少呢?这款颜值测试软件--颜值app. 星云颜值app,星云颜值app是一款手机颜 ...

  4. 叶罗丽颜值测试软件齐娜多少分,叶罗丽仙子的颜值能打多少分？灵公主接近满分！冰公主刚及格！...

    原标题:叶罗丽仙子的颜值能打多少分?灵公主接近满分!冰公主刚及格! 叶罗丽仙子们个个都美若天仙,可她们的颜值究竟谁更高呢?下面我们就一起在颜值测试软件下看看他们都能测出多少分吧! 冰公主:第一个要看的 ...

  5. 那些年我追过的“女孩”

    我认为打程序犹如追女孩,在不断犯错的过程中才能成功的把握所有要点,然后嘿嘿嘿........... 1.思绪紊乱....找不到题目的关键. 2.会引用错误的变量,比如a[i][j]变成了a[j][i] ...

  6. 想追身边的女孩？哥们我只能帮到你这份上了

    1 接下来,就靠你自己了--2 不是女神就别想了3 你再来,我可撕票喽  4  总有刁民想害朕..  5  每次我想偷偷溜出去玩,我妈就  6  看看谁在偷懒 你点的每个赞,我都认真当成了喜欢

  7. 直播带货颜值到底重不重要，哪些人适合直播带货？丨国仁猫哥

    从2019年起直播带货在迅速增长,看重这部分商机的人越来越多,随着网络,科技,智能的发展,直播带货被人们所熟知,在疫情的特殊背景下直播带货暴增,逐渐成为电商中的主力军. 想要做好直播带货并非一件容易的 ...

  8. 高颜值！广西730分学霸杨晨煜被清华智班录取，学习人工智能，网友纷纷求开微博！

    摘要:据清华招生公众号,2019在广西招生录取圆满结束,来自南宁二中的730分学霸杨晨煜最终花落清华,被清华大学人工智能班录取.杨晨煜将师从姚期智学习人工智能,本科专业为计算机科学与技术. 据清华招生 ...

  9. 济南2021年高考马平烁 成绩 查询,济南18岁女孩高考裸分达704分 从不上辅导班

    1.60米的个头,斯文而清秀,眼神中闪烁着机灵和睿智,这是今年高考考了704分的济阳女孩马平烁给记者的第一印象.面对记者采访,18岁的马平烁不慌不忙一一接招,言谈中流露出成功的喜悦.对于这个成绩,她说 ...

最新文章

  1. java快速搭建webapi,4.从零搭建WebApi接口开发框架-设计Dao、Service
  2. Scrapy002-框架安装
  3. linux 下ssh端口反弹,利用ssh隧道反弹shell
  4. java开发环境及数据类型实验_实验项目1 Java开发环境与语言基础
  5. Apache Camel 2.12 –支持后退，以减少较积极的轮询路线
  6. 解决input设置背景后，在ie7下浏览内容过长背景跟着滚动
  7. Spring 事务管理总结
  8. 莺颠燕狂的拼音及解释
  9. vue中引用swiper轮播插件
  10. 【ROS】ros入门21讲（下）
  11. mywebsite1
  12. color是css3新增属性吗,CSS进阶篇--你用过css3的这个currentColor新属性吗？使用与兼容性...
  13. php微博api发布微博代码,使用新浪微博API的OAuth认证发布微博实例
  14. 阿里云短信接口方法使用
  15. c++11 regex
  16. yii2项目实战-博客管理平台的搭建
  17. 用c语言写一个简单的名人名言播放器
  18. CSDN博客运营团队2022年H2总结
  19. 剑指Offer全题解—Java版本
  20. 飞飞CMS最新版本DC04电脑端网站模板

热门文章

  1. oracle SGA PGA UGA 内存
  2. 你了解HashMap吗？
  3. Win10右键清空剪贴板
  4. 零中频接收机频率转换图_复数RF混频器零中频架构及高级算法：下一代SDR收发器中的黑魔法...
  5. 软件测试依据的国家技术标准规范
  6. 安徽IP地址段（续）
  7. 考研复试计算机组成原理篇
  8. Python黑客攻防入门
  9. queryWrapper对同一字段进行两次eq() 是覆盖还是叠加查询
  10. 《液晶显示器和液晶电视维修核心教程》——2.2　电容类