c++编写神经网络（二）MTCNN的程序主程序
背景：我们得出了MTCNN的内存调用，内存调用是开辟了一系列的存储空间。
目的：固定相应的存储的大小，编写主程序。
目录
一、MTCNN内存占用表
1.1 权重尺寸
6.2 feature大小
二、程序思路
一、MTCNN内存占用表
1.1 权重尺寸
| Pnet weight |
layer name | weight data byte | weight bias byte | total byte |
| conv1 | 1080 | 40 | 1120 | |
| pool1_conv1 | 5760 | 64 | 5824 | |
| conv2 | 18432 | 128 | 18560 | |
| conv3 | 36864 | 128 | 36992 | |
| conv4c1 | 256 | 8 | 264 | |
| conv4c2 | 512 | 16 | 528 |
| Rnet weight |
layer name | weight data byte | weight bias byte | total byte |
| conv1 | 3024 | 112 | 3136 | |
| pool_conv1 | 28224 | 112 | 28336 | |
| conv2 | 48384 | 192 | 48576 | |
| pool2_conv3 | 82944 | 192 | 83136 | |
| conv3 | 110592 | 256 | 110848 | |
| fc4 | 294912 | 512 | 295424 | |
| score | 1024 | 8 | 1032 | |
| location | 2048 | 16 | 2064 |
| Onet weight |
layer name | weight data byte | weight bias byte | total byte |
| conv1 | 3456 | 128 | 3584 | |
| conv2 | 36864 | 128 | 36992 | |
| conv3 | 73728 | 256 | 73984 | |
| conv4_ | 147456 | 256 | 147712 | |
| conv5_ | 294912 | 512 | 295424 | |
| conv6_ | 589824 | 512 | 590336 | |
| fc5 | 1179648 | 1024 | 1180672 | |
| score | 2048 | 8 | 2056 | |
| location | 4096 | 16 | 4112 |
6.2 feature大小
| Rnet feature |
feature name | bytesize |
| rgb | 6912 | |
| rgb_pad | 8112 | |
| conv1_out | 64512 | |
| conv1_out_pad | 70000 | |
| pool_conv1_out | 16128 | |
| pool_conv1_out_pad | 21952 | |
| conv2_out | 27648 | |
| conv2_out_pad | 32448 | |
| pool2_conv3_out | 6912 | |
| pool2_conv3_out_pad | 9408 | |
| conv3_out | 2304 | |
| fc4_out | 512 | |
| score_ | 8 | |
| location_ | 16 |
| Onet feature |
feature name | bytesize |
| rgb | 27648 | |
| rgb_pad | 30000 | |
| conv1_out | 294912 | |
| conv1_out_pad | 307328 | |
| conv2_out | 73728 | |
| conv2_out_pad | 86528 | |
| conv3_out | 147456 | |
| conv3_out_pad | 160000 | |
| conv4_out | 36864 | |
| conv4_out_pad | 43264 | |
| conv5_out | 18432 | |
| conv5_out_pad | 25088 | |
| conv6_out | 4608 | |
| fc5_out | 1024 | |
| score_ | 8 | |
| location_ | 16 |
//scales 0.400000 h:116 w:142
//scales 0.340000 h:98 w:120
//scales 0.289000 h:84 w:102
//scales 0.245650 h:72 w:88
//scales 0.208803 h:62 w:74
//scales 0.177482 h:52 w:64
//scales 0.150860 h:44 w:54
//scales 0.128231 h:38 w:46
//scales 0.108996 h:32 w:40
//scales 0.092647 h:28 w:34
//scales 0.078750 h:24 w:28
//scales 0.066937 h:20 w:24
//scales 0.056897 h:18 w:22
//scales 0.048362 h:14 w:18
Create Pnet,Read Pnet.bin ,12 pointers
------Start find Face function
scales 0.400000 h:116 w:142
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 197664 ----------------
--------convolution buffer byte size 638400 -------
--------Feature pad buffer byte size 648600 -------
--------convolution buffer byte size 255360 -------
--------convolution buffer byte size 478720 -------
--------convolution buffer byte size 447744 -------
--------convolution buffer byte size 27984 -------
--------convolution buffer byte size 55968 -------
scales 0.340000 h:98 w:120
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 141120 ----------------
--------convolution buffer byte size 453120 -------
--------Feature pad buffer byte size 461720 -------
--------convolution buffer byte size 181248 -------
--------convolution buffer byte size 335616 -------
--------convolution buffer byte size 309760 -------
--------convolution buffer byte size 19360 -------
--------convolution buffer byte size 38720 -------
scales 0.289000 h:84 w:102
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 102816 ----------------
--------convolution buffer byte size 328000 -------
--------Feature pad buffer byte size 335320 -------
--------convolution buffer byte size 131200 -------
--------convolution buffer byte size 239616 -------
--------convolution buffer byte size 217856 -------
--------convolution buffer byte size 13616 -------
--------convolution buffer byte size 27232 -------
scales 0.245650 h:72 w:88
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 76032 ----------------
--------convolution buffer byte size 240800 -------
--------Feature pad buffer byte size 247080 -------
--------convolution buffer byte size 96320 -------
--------convolution buffer byte size 173184 -------
--------convolution buffer byte size 154752 -------
--------convolution buffer byte size 9672 -------
--------convolution buffer byte size 19344 -------
scales 0.208803 h:62 w:74
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 55056 ----------------
--------convolution buffer byte size 172800 -------
--------Feature pad buffer byte size 178120 -------
--------convolution buffer byte size 69120 -------
--------convolution buffer byte size 121856 -------
--------convolution buffer byte size 106496 -------
--------convolution buffer byte size 6656 -------
--------convolution buffer byte size 13312 -------
scales 0.177482 h:52 w:64
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 39936 ----------------
--------convolution buffer byte size 124000 -------
--------Feature pad buffer byte size 128520 -------
--------convolution buffer byte size 49600 -------
--------convolution buffer byte size 85376 -------
--------convolution buffer byte size 72576 -------
--------convolution buffer byte size 4536 -------
--------convolution buffer byte size 9072 -------
scales 0.150860 h:44 w:54
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 28512 ----------------
--------convolution buffer byte size 87360 -------
--------Feature pad buffer byte size 91160 -------
--------convolution buffer byte size 34944 -------
--------convolution buffer byte size 58368 -------
--------convolution buffer byte size 47872 -------
--------convolution buffer byte size 2992 -------
--------convolution buffer byte size 5984 -------
scales 0.128231 h:38 w:46
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 20976 ----------------
--------convolution buffer byte size 63360 -------
--------Feature pad buffer byte size 66600 -------
--------convolution buffer byte size 25344 -------
--------convolution buffer byte size 40960 -------
--------convolution buffer byte size 32256 -------
--------convolution buffer byte size 2016 -------
--------convolution buffer byte size 4032 -------
scales 0.108996 h:32 w:40
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 15360 ----------------
--------convolution buffer byte size 45600 -------
--------Feature pad buffer byte size 48360 -------
--------convolution buffer byte size 18240 -------
--------convolution buffer byte size 28288 -------
--------convolution buffer byte size 21120 -------
--------convolution buffer byte size 1320 -------
--------convolution buffer byte size 2640 -------
scales 0.092647 h:28 w:34
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 11424 ----------------
--------convolution buffer byte size 33280 -------
--------Feature pad buffer byte size 35640 -------
--------convolution buffer byte size 13312 -------
--------convolution buffer byte size 19712 -------
--------convolution buffer byte size 13824 -------
--------convolution buffer byte size 864 -------
--------convolution buffer byte size 1728 -------
scales 0.078750 h:24 w:28
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 8064 ----------------
--------convolution buffer byte size 22880 -------
--------Feature pad buffer byte size 24840 -------
--------convolution buffer byte size 9152 -------
--------convolution buffer byte size 12672 -------
--------convolution buffer byte size 8064 -------
--------convolution buffer byte size 504 -------
--------convolution buffer byte size 1008 -------
scales 0.066937 h:20 w:24
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 5760 ----------------
--------convolution buffer byte size 15840 -------
--------Feature pad buffer byte size 17480 -------
--------convolution buffer byte size 6336 -------
--------convolution buffer byte size 8064 -------
--------convolution buffer byte size 4480 -------
--------convolution buffer byte size 280 -------
--------convolution buffer byte size 560 -------
scales 0.056897 h:18 w:22
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 4752 ----------------
--------convolution buffer byte size 12800 -------
--------Feature pad buffer byte size 14280 -------
--------convolution buffer byte size 5120 -------
--------convolution buffer byte size 6144 -------
--------convolution buffer byte size 3072 -------
--------convolution buffer byte size 192 -------
--------convolution buffer byte size 384 -------
scales 0.048362 h:14 w:18
Start run Pnet
Pnet feature buffer init
----------image to matrix buffer byte size 3024 ----------------
--------convolution buffer byte size 7680 -------
--------Feature pad buffer byte size 8840 -------
--------convolution buffer byte size 3072 -------
--------convolution buffer byte size 3072 -------
--------convolution buffer byte size 1024 -------
--------convolution buffer byte size 64 -------
--------convolution buffer byte size 128 -------
二、程序思路
- 开辟网络，存入权重，Pnet，Rnet，Onet
- 开辟Rnet，Onet，Pnet的存储空间，其中Pnet的feaute以最大的实现
- 读入图片，存入feature
- 运行程序，直接根据指针来运行