2023年7月7日发(作者：)

ResNet152⽹络复现（Caffe）⼀、准备数据集1) 下载数据集Imagnet⽹站上下载了三类图⽚，分别是big cat、dog、fish，其中训练集的图⽚数⼀共是4149，测试集的图⽚数是1003，训练集和测试集的图⽚数⽐例4:1，将训练集的图⽚保存在train⽂件夹下，测试集图⽚保存在val⽂件夹下.train、val⽂件夹下⾯均有bigcat、dog、fish三个⽂件夹，分别存放着对应类别的图⽚.

2) 利⽤python代码，⽣成、、分别存储着训练集和测试集图⽚的⽂件名及其类别标签（注：bigcat:0、 dog:1、fish:2），格式如下：n02084071_ 1n02512053_ 2n02512053_ 2n02512053_ 2n02084071_ 1n02127808_ 0n02127808_ 0n02127808_ 0n02512053_ 2 Python代码如下(可以先在windows环境下利⽤以下的代码⽣成txt)： 1 import os 2 import random 3

4

5 trainPath = 'F:Resnet152train'

6 valPath = 'F:Resnet152val'

7

8 train = {} 9 val = {}10

11

12 # add13 for name in r(trainPath + "bigcat"):14 train[name] = 015

16 # add

17 for name in r(trainPath + "dog"):18 train[name] = 119

20 # add

21 for name in r(trainPath + "fish"):22 train[name] = 223

25

26 # add27 for name in r(valPath + "bigcat"):28 val[name] = 029

30 # add31 for name in r(valPath + "dog"):32 val[name] = 133

34

35 # add36 for name in r(valPath + "fish"):37 val[name] = 238

39

41 ftrain = open("F:", 'w')42 fval = open("F:", 'w')43

44 trainName = []45 valName = []46 for (item) in train:47 (item)48

49 for item in val:50 (item)51

52 e(trainName)53 e(valName)54

55 for name in trainName:56 label = train[name]57 (name + " " + str(label) + "n")58

59 for name in valName:60 label = val[name]61 (name + " " + str(label) + "n")62

63 ()

64 ()

3) ⽣成数据集编写脚本⽂件，利⽤、⽣成train_lmdb、val_脚本代码如下 1 #!/usr/bin/env sh 2 # Create the face_48 lmdb inputs 3 # N.B. set the path to the face_48 train + val data dirs 4

5 EXAMPLE=/home/wy/ResNet152 #lmdb⽣成后存放⽬录 6 DATA=/home/wy/ResNet152 #、存放⽬录 7 TOOLS=/home/wy/caffe/build/tools #caffe安装⽬录 8

9 TRAIN_DATA_ROOT=/home/wy/ResNet152/train/10 VAL_DATA_ROOT=/home/wy/ResNet152/val/11

12 # Set RESIZE=true to resize the images to 224 x 224. Leave as false if images have13 # already been resized using another tool.14 RESIZE=true15 if $RESIZE; then16 RESIZE_HEIGHT=224 #resize图⽚⼤⼩17 RESIZE_WIDTH=22418 else19 RESIZE_HEIGHT=020 RESIZE_WIDTH=021 fi22

23 if [ ! -d "$TRAIN_DATA_ROOT" ]; then24 echo "Error: TRAIN_DATA_ROOT is not a path to a directory: $TRAIN_DATA_ROOT"25 echo "Set the TRAIN_DATA_ROOT variable in create_face_ to the path" 26 "where the face_48 training data is stored."27 exit 128 fi29

30 if [ ! -d "$VAL_DATA_ROOT" ]; then31 echo "Error: VAL_DATA_ROOT is not a path to a directory: $VAL_DATA_ROOT"32 echo "Set the VAL_DATA_ROOT variable in create_face_ to the path" 33 "where the face_48 validation data is stored."34 exit 135 fi36

37 echo "Creating "38

39 GLOG_logtostderr=1 $TOOLS/convert_imageset 40 --resize_height=$RESIZE_HEIGHT 41 --resize_width=$RESIZE_WIDTH 42 --shuffle 43 $TRAIN_DATA_ROOT 44 $DATA/ 45 $EXAMPLE/train_lmdb46

47 echo "Creating "48

49 GLOG_logtostderr=1 $TOOLS/convert_imageset 50 --resize_height=$RESIZE_HEIGHT 51 --resize_width=$RESIZE_WIDTH 52 --shuffle 53 $VAL_DATA_ROOT 54 $DATA/ 55 $EXAMPLE/val_lmdb56

57 echo "Done."58 Status API Training Shop Blog About注：上述代码中有RESIZE_HEIGHT=224、RESIZE_WIDTH=224，因为使⽤的是ResNet⽹络，需要统⼀图⽚⼤⼩，如果使⽤的⽹络对图⽚⼤⼩⽆要求，或者已经是224*224⼤⼩的图⽚，可不进⾏resize操作linux系统终端中执⾏sh 即可⽣成lmdb⽂件，完成数据集的⽣成⼯作执⾏结束后，会在ResNet152⽬录下，⽣成两个⽂件夹,分别是train_lmdb、val_lmdb

4) 计算图⽚平均值训练⽹络图⽚时，需要对图⽚做减均值处理，先将图⽚平均值保存到⽂件中，在训练⽹络中直接引⽤，先介绍如何⽣成图⽚平均值⽂件，后⾯引⽤的时候会特别注明，命令如下：/home/wy/caffe/build/tools/compute_image_mean /home/wy/ResNet152/train_lmdb /home/wy/ResNet152/proto 利⽤Caffe安装⽬录下⾯的compute_image_进⾏图⽚平均值的计算，输⼊的是train_lmdb，输出的为proto

⼆、修改⽹络配置⽂件修改配置之前，先列出需要的⽂件：train_xt、xt、xt（三个⽂件的具体内容会在博客最后给出）1) train_xt⽂件名train_val包括train和val，可以先这样理解每进⾏500次训练的时候，会进⾏⼀次验证，⽅便输出供训练者观察情况，既然这样，就需要在这个⽂件⾥⾯指定train数据集和val数据集

关于train_xt中其余部分的代码均是ResNet152的⽹络结构代码，⽆需修改

2) xt主要是当模型训练出来以后，利⽤模型对⽤户提交的⼀张图⽚进⾏分类应⽤的时候使⽤的⽹络⽂件，只需要进⾏⼀次前向传播计算输⼊图⽚所属类别的概率值，所以，此⽂件⾥⾯没有损失函数层的定义

3) xt⽂件指定训练的相关规则和参数，具体内容介绍见下图中的标注

三、训练⽹络⽹络⽂件编辑完后，即可开始训练⽹络，可直接在linux终端输⼊以下命令/home/wy/caffe/build/tools/caffe train --solver=/home/wy/ResNet152/xt前者是caffe安装⽬录路径，后者是xt存放路径，回车后即可开始训练；也可创建脚本⽂件，⽂件中保存上述指令此时，在linux终端(导航到存放的路径)，输⼊sh 即可训练过程中的⼀张图

四、测试图⽚⽤训练出的model进⾏图⽚的预测/home/wy/caffe/build/examples/cpp_classification/ /home/wy/ResNet152/xt /home/wy/ResNet152/model/solver_iter_odel /home/wy/ResNet152/proto /home/wy/ResNet152/class_ /h在linux下输⼊上述命令，即可对图⽚’ISIC_’进⾏预测其中，class_⽂件中内容（和中标签要对应）：0 bigcat

1 dog

2 fish

测试图⽚：看下测试结果（测试的时候换了台电脑,所以发现⽬录不太⼀样）：所以，属于bigcat的概率为0.9999，属于fish的概率为0.0001，属于dog的概率为0

train_xt 1 name: "ResNet-152" 2 layer { 3 name: "data" 4 type: "Data" 5 top: "data" 6 top: "label" 7 include { 8 phase: TRAIN 9 } 10 transform_param { 11 mirror: true 12 crop_size: 224 13 mean_file: "/home/wy/ResNet152/proto" 14 } 15 data_param { 16 source: "/home/wy/ResNet152/train_lmdb" 17 batch_size: 1 18 backend: LMDB 19 } 20 } 21 layer { 22 name: "data" 23 type: "Data" 24 top: "data" 25 top: "label" 26 include { 27 phase: TEST 28 } 29 transform_param { 30 mirror: false 31 crop_size: 224 32 mean_file:"/usr/develop/repertory/ResNet152/proto" 33 } 34 data_param { 35 source: "/usr/develop/repertory/ResNet152/val_lmdb" 36 batch_size: 1 37 backend: LMDB 38 } 39 } 40

41 layer { 42 bottom: "data" 43 top: "conv1" 44 name: "conv1" 45 type: "Convolution" 46 convolution_param { 47 num_output: 64 48 kernel_size: 7 49 pad: 3 50 stride: 2 51 weight_filler { 52 type: "msra" 53 } 54 bias_term: false 55

56 } 57 } 58

59 layer { 60 bottom: "conv1" 61 top: "conv1" 62 name: "bn_conv1" 63 type: "BatchNorm" 64 batch_norm_param { 65 use_global_stats: false 66 } 67 } 68

69 layer { 70 bottom: "conv1" 71 top: "conv1" 72 name: "scale_conv1" 73 type: "Scale" 74 scale_param { 75 bias_term: true 76 } 77 } 78

79 layer { 80 bottom: "conv1" 81 top: "conv1" 82 name: "conv1_relu" 83 type: "ReLU" 84 } 85

86 layer { 87 bottom: "conv1" 88 top: "pool1" 89 name: "pool1" 90 type: "Pooling" 91 pooling_param { 92 kernel_size: 3 93 stride: 2 94 pool: MAX 95 } 96 } 97

98 layer { 99 bottom: "pool1" 100 top: "res2a_branch1" 101 name: "res2a_branch1" 102 type: "Convolution" 103 convolution_param { 104 num_output: 256 105 kernel_size: 1 106 pad: 0 107 stride: 1 108 weight_filler { 109 type: "msra" 110 } 111 bias_term: false 112

113 } 114 } 115

116 layer { 117 bottom: "res2a_branch1" 118 top: "res2a_branch1" 119 name: "bn2a_branch1" 120 type: "BatchNorm" 121 batch_norm_param { 122 use_global_stats: false 123 } 124 } 125

126 layer { 127 bottom: "res2a_branch1" 128 top: "res2a_branch1" 129 name: "scale2a_branch1" 130 type: "Scale" 131 scale_param { 132 bias_term: true 133 } 134 } 135

136 layer { 137 bottom: "pool1" 138 top: "res2a_branch2a" 139 name: "res2a_branch2a" 140 type: "Convolution" 141 convolution_param { 142 num_output: 64 143 kernel_size: 1 144 pad: 0 145 stride: 1 146 weight_filler { 147 type: "msra" 148 } 149 bias_term: false 150

151 } 152 } 153

154 layer { 155 bottom: "res2a_branch2a" 156 top: "res2a_branch2a" 157 name: "bn2a_branch2a" 158 type: "BatchNorm" 159 batch_norm_param { 160 use_global_stats: false 161 } 162 } 163

164 layer { 165 bottom: "res2a_branch2a" 166 top: "res2a_branch2a" 167 name: "scale2a_branch2a" 168 type: "Scale" 169 scale_param { 170 bias_term: true 171 } 172 } 173

174 layer { 175 bottom: "res2a_branch2a" 176 top: "res2a_branch2a" 177 name: "res2a_branch2a_relu" 178 type: "ReLU" 179 } 180

181 layer { 182 bottom: "res2a_branch2a" 183 top: "res2a_branch2b" 184 name: "res2a_branch2b" 185 type: "Convolution" 186 convolution_param { 187 num_output: 64 188 kernel_size: 3 189 pad: 1 190 stride: 1 191 weight_filler { 192 type: "msra" 193 } 194 bias_term: false 195

196 } 197 } 198

199 layer { 200 bottom: "res2a_branch2b" 201 top: "res2a_branch2b" 202 name: "bn2a_branch2b" 203 type: "BatchNorm" 204 batch_norm_param { 205 use_global_stats: false 206 } 207 } 208

209 layer { 210 bottom: "res2a_branch2b" 211 top: "res2a_branch2b" 212 name: "scale2a_branch2b" 213 type: "Scale" 214 scale_param { 215 bias_term: true 216 } 217 } 218 219 layer { 220 bottom: "res2a_branch2b" 221 top: "res2a_branch2b" 222 name: "res2a_branch2b_relu" 223 type: "ReLU" 224 } 225

226 layer { 227 bottom: "res2a_branch2b" 228 top: "res2a_branch2c" 229 name: "res2a_branch2c" 230 type: "Convolution" 231 convolution_param { 232 num_output: 256 233 kernel_size: 1 234 pad: 0 235 stride: 1 236 weight_filler { 237 type: "msra" 238 } 239 bias_term: false 240

241 } 242 } 243

244 layer { 245 bottom: "res2a_branch2c" 246 top: "res2a_branch2c" 247 name: "bn2a_branch2c" 248 type: "BatchNorm" 249 batch_norm_param { 250 use_global_stats: false 251 } 252 } 253

254 layer { 255 bottom: "res2a_branch2c" 256 top: "res2a_branch2c" 257 name: "scale2a_branch2c" 258 type: "Scale" 259 scale_param { 260 bias_term: true 261 } 262 } 263

264 layer { 265 bottom: "res2a_branch1" 266 bottom: "res2a_branch2c" 267 top: "res2a" 268 name: "res2a" 269 type: "Eltwise" 270 eltwise_param { 271 operation: SUM 272 } 273 } 274

275 layer { 276 bottom: "res2a" 277 top: "res2a" 278 name: "res2a_relu" 279 type: "ReLU" 280 } 281

282 layer { 283 bottom: "res2a" 284 top: "res2b_branch2a" 285 name: "res2b_branch2a" 286 type: "Convolution" 287 convolution_param { 288 num_output: 64 289 kernel_size: 1 290 pad: 0 291 stride: 1 292 weight_filler { 293 type: "msra" 294 } 295 bias_term: false 296

297 } 298 } 299

300 layer { 301 bottom: "res2b_branch2a" 302 top: "res2b_branch2a" 303 name: "bn2b_branch2a" 304 type: "BatchNorm" 305 batch_norm_param { 306 use_global_stats: false 307 } 308 } 309

310 layer { 311 bottom: "res2b_branch2a" 312 top: "res2b_branch2a" 313 name: "scale2b_branch2a" 314 type: "Scale" 315 scale_param { 316 bias_term: true 317 } 318 } 319

320 layer { 321 bottom: "res2b_branch2a" 322 top: "res2b_branch2a" 323 name: "res2b_branch2a_relu" 324 type: "ReLU" 325 } 326

327 layer { 328 bottom: "res2b_branch2a" 329 top: "res2b_branch2b" 330 name: "res2b_branch2b" 331 type: "Convolution" 332 convolution_param { 333 num_output: 64 334 kernel_size: 3 335 pad: 1 336 stride: 1 337 weight_filler { 338 type: "msra" 339 } 340 bias_term: false 341 342 } 343 } 344

345 layer { 346 bottom: "res2b_branch2b" 347 top: "res2b_branch2b" 348 name: "bn2b_branch2b" 349 type: "BatchNorm" 350 batch_norm_param { 351 use_global_stats: false 352 } 353 } 354

355 layer { 356 bottom: "res2b_branch2b" 357 top: "res2b_branch2b" 358 name: "scale2b_branch2b" 359 type: "Scale" 360 scale_param { 361 bias_term: true 362 } 363 } 364

365 layer { 366 bottom: "res2b_branch2b" 367 top: "res2b_branch2b" 368 name: "res2b_branch2b_relu" 369 type: "ReLU" 370 } 371

372 layer { 373 bottom: "res2b_branch2b" 374 top: "res2b_branch2c" 375 name: "res2b_branch2c" 376 type: "Convolution" 377 convolution_param { 378 num_output: 256 379 kernel_size: 1 380 pad: 0 381 stride: 1 382 weight_filler { 383 type: "msra" 384 } 385 bias_term: false 386

387 } 388 } 389

390 layer { 391 bottom: "res2b_branch2c" 392 top: "res2b_branch2c" 393 name: "bn2b_branch2c" 394 type: "BatchNorm" 395 batch_norm_param { 396 use_global_stats: false 397 } 398 } 399

400 layer { 401 bottom: "res2b_branch2c" 402 top: "res2b_branch2c" 403 name: "scale2b_branch2c" 404 type: "Scale" 405 scale_param { 406 bias_term: true 407 } 408 } 409

410 layer { 411 bottom: "res2a" 412 bottom: "res2b_branch2c" 413 top: "res2b" 414 name: "res2b" 415 type: "Eltwise" 416 eltwise_param { 417 operation: SUM 418 } 419 } 420

421 layer { 422 bottom: "res2b" 423 top: "res2b" 424 name: "res2b_relu" 425 type: "ReLU" 426 } 427

428 layer { 429 bottom: "res2b" 430 top: "res2c_branch2a" 431 name: "res2c_branch2a" 432 type: "Convolution" 433 convolution_param { 434 num_output: 64 435 kernel_size: 1 436 pad: 0 437 stride: 1 438 weight_filler { 439 type: "msra" 440 } 441 bias_term: false 442

443 } 444 } 445

446 layer { 447 bottom: "res2c_branch2a" 448 top: "res2c_branch2a" 449 name: "bn2c_branch2a" 450 type: "BatchNorm" 451 batch_norm_param { 452 use_global_stats: false 453 } 454 } 455

456 layer { 457 bottom: "res2c_branch2a" 458 top: "res2c_branch2a" 459 name: "scale2c_branch2a" 460 type: "Scale" 461 scale_param { 462 bias_term: true 463 } 464 } 465

466 layer { 467 bottom: "res2c_branch2a" 468 top: "res2c_branch2a" 469 name: "res2c_branch2a_relu" 470 type: "ReLU" 471 } 472

473 layer { 474 bottom: "res2c_branch2a" 475 top: "res2c_branch2b" 476 name: "res2c_branch2b" 477 type: "Convolution" 478 convolution_param { 479 num_output: 64 480 kernel_size: 3 481 pad: 1 482 stride: 1 483 weight_filler { 484 type: "msra" 485 } 486 bias_term: false 487

488 } 489 } 490

491 layer { 492 bottom: "res2c_branch2b" 493 top: "res2c_branch2b" 494 name: "bn2c_branch2b" 495 type: "BatchNorm" 496 batch_norm_param { 497 use_global_stats: false 498 } 499 } 500

501 layer { 502 bottom: "res2c_branch2b" 503 top: "res2c_branch2b" 504 name: "scale2c_branch2b" 505 type: "Scale" 506 scale_param { 507 bias_term: true 508 } 509 } 510

511 layer { 512 bottom: "res2c_branch2b" 513 top: "res2c_branch2b" 514 name: "res2c_branch2b_relu" 515 type: "ReLU" 516 } 517

518 layer { 519 bottom: "res2c_branch2b" 520 top: "res2c_branch2c" 521 name: "res2c_branch2c" 522 type: "Convolution" 523 convolution_param { 524 num_output: 256 525 kernel_size: 1 526 pad: 0 527 stride: 1 528 weight_filler { 529 type: "msra" 530 } 531 bias_term: false 532

533 } 534 } 535

536 layer { 537 bottom: "res2c_branch2c" 538 top: "res2c_branch2c" 539 name: "bn2c_branch2c" 540 type: "BatchNorm" 541 batch_norm_param { 542 use_global_stats: false 543 } 544 } 545

546 layer { 547 bottom: "res2c_branch2c" 548 top: "res2c_branch2c" 549 name: "scale2c_branch2c" 550 type: "Scale" 551 scale_param { 552 bias_term: true 553 } 554 } 555

556 layer { 557 bottom: "res2b" 558 bottom: "res2c_branch2c" 559 top: "res2c" 560 name: "res2c" 561 type: "Eltwise" 562 eltwise_param { 563 operation: SUM 564 } 565 } 566

567 layer { 568 bottom: "res2c" 569 top: "res2c" 570 name: "res2c_relu" 571 type: "ReLU" 572 } 573

574 layer { 575 bottom: "res2c" 576 top: "res3a_branch1" 577 name: "res3a_branch1" 578 type: "Convolution" 579 convolution_param { 580 num_output: 512 581 kernel_size: 1 582 pad: 0 583 stride: 2 584 weight_filler { 585 type: "msra" 586 } 587 bias_term: false 588

589 } 590 } 591

592 layer { 593 bottom: "res3a_branch1" 594 top: "res3a_branch1" 595 name: "bn3a_branch1" 596 type: "BatchNorm" 597 batch_norm_param { 598 use_global_stats: false 599 } 600 } 601

602 layer { 603 bottom: "res3a_branch1" 604 top: "res3a_branch1" 605 name: "scale3a_branch1" 606 type: "Scale" 607 scale_param { 608 bias_term: true 609 } 610 } 611

612 layer { 613 bottom: "res2c" 614 top: "res3a_branch2a" 615 name: "res3a_branch2a" 616 type: "Convolution" 617 convolution_param { 618 num_output: 128 619 kernel_size: 1 620 pad: 0 621 stride: 2 622 weight_filler { 623 type: "msra" 624 } 625 bias_term: false 626

627 } 628 } 629

630 layer { 631 bottom: "res3a_branch2a" 632 top: "res3a_branch2a" 633 name: "bn3a_branch2a" 634 type: "BatchNorm" 635 batch_norm_param { 636 use_global_stats: false 637 } 638 } 639

640 layer { 641 bottom: "res3a_branch2a" 642 top: "res3a_branch2a" 643 name: "scale3a_branch2a" 644 type: "Scale" 645 scale_param { 646 bias_term: true 647 } 648 } 649

650 layer { 651 bottom: "res3a_branch2a" 652 top: "res3a_branch2a" 653 name: "res3a_branch2a_relu" 654 type: "ReLU" 655 } 656

657 layer { 658 bottom: "res3a_branch2a" 659 top: "res3a_branch2b" 660 name: "res3a_branch2b" 661 type: "Convolution" 662 convolution_param { 663 num_output: 128 664 kernel_size: 3 665 pad: 1 666 stride: 1 667 weight_filler { 668 type: "msra" 669 } 670 bias_term: false 671

672 } 673 } 674

675 layer { 676 bottom: "res3a_branch2b" 677 top: "res3a_branch2b" 678 name: "bn3a_branch2b" 679 type: "BatchNorm" 680 batch_norm_param { 681 use_global_stats: false 682 } 683 } 684

685 layer { 686 bottom: "res3a_branch2b" 687 top: "res3a_branch2b" 688 name: "scale3a_branch2b" 689 type: "Scale" 690 scale_param { 691 bias_term: true 692 } 693 } 694

695 layer { 696 bottom: "res3a_branch2b" 697 top: "res3a_branch2b" 698 name: "res3a_branch2b_relu" 699 type: "ReLU" 700 } 701

702 layer { 703 bottom: "res3a_branch2b" 704 top: "res3a_branch2c" 705 name: "res3a_branch2c" 706 type: "Convolution" 707 convolution_param { 708 num_output: 512 709 kernel_size: 1 710 pad: 0 711 stride: 1 712 weight_filler { 713 type: "msra" 714 } 715 bias_term: false 716

717 } 718 } 719

720 layer { 721 bottom: "res3a_branch2c" 722 top: "res3a_branch2c" 723 name: "bn3a_branch2c" 724 type: "BatchNorm" 725 batch_norm_param { 726 use_global_stats: false 727 } 728 } 729

730 layer { 731 bottom: "res3a_branch2c" 732 top: "res3a_branch2c" 733 name: "scale3a_branch2c" 734 type: "Scale" 735 scale_param { 736 bias_term: true 737 } 738 } 739

740 layer { 741 bottom: "res3a_branch1" 742 bottom: "res3a_branch2c" 743 top: "res3a" 744 name: "res3a" 745 type: "Eltwise" 746 eltwise_param { 747 operation: SUM 748 } 749 } 750

751 layer { 752 bottom: "res3a" 753 top: "res3a" 754 name: "res3a_relu" 755 type: "ReLU" 756 } 757

758 layer { 759 bottom: "res3a" 760 top: "res3b1_branch2a" 761 name: "res3b1_branch2a" 762 type: "Convolution" 763 convolution_param { 764 num_output: 128 765 kernel_size: 1 766 pad: 0 767 stride: 1 768 weight_filler { 769 type: "msra" 770 } 771 bias_term: false 772

773 } 774 } 775

776 layer { 777 bottom: "res3b1_branch2a" 778 top: "res3b1_branch2a" 779 name: "bn3b1_branch2a" 780 type: "BatchNorm" 781 batch_norm_param { 782 use_global_stats: false 783 } 784 } 785

786 layer { 787 bottom: "res3b1_branch2a" 788 top: "res3b1_branch2a" 789 name: "scale3b1_branch2a" 790 type: "Scale" 791 scale_param { 792 bias_term: true 793 } 794 } 795

796 layer { 797 bottom: "res3b1_branch2a" 798 top: "res3b1_branch2a" 799 name: "res3b1_branch2a_relu" 800 type: "ReLU" 801 } 802

803 layer { 804 bottom: "res3b1_branch2a" 805 top: "res3b1_branch2b" 806 name: "res3b1_branch2b" 807 type: "Convolution" 808 convolution_param { 809 num_output: 128 810 kernel_size: 3 811 pad: 1 812 stride: 1 813 weight_filler { 814 type: "msra" 815 } 816 bias_term: false 817

818 } 819 } 820

821 layer { 822 bottom: "res3b1_branch2b" 823 top: "res3b1_branch2b" 824 name: "bn3b1_branch2b" 825 type: "BatchNorm" 826 batch_norm_param { 827 use_global_stats: false 828 } 829 } 830

831 layer { 832 bottom: "res3b1_branch2b" 833 top: "res3b1_branch2b" 834 name: "scale3b1_branch2b" 835 type: "Scale" 836 scale_param { 837 bias_term: true 838 } 839 } 840

841 layer { 842 bottom: "res3b1_branch2b" 843 top: "res3b1_branch2b" 844 name: "res3b1_branch2b_relu" 845 type: "ReLU" 846 } 847

848 layer { 849 bottom: "res3b1_branch2b" 850 top: "res3b1_branch2c" 851 name: "res3b1_branch2c" 852 type: "Convolution" 853 convolution_param { 854 num_output: 512 855 kernel_size: 1 856 pad: 0 857 stride: 1 858 weight_filler { 859 type: "msra" 860 } 861 bias_term: false 862

863 } 864 } 865

866 layer { 867 bottom: "res3b1_branch2c" 868 top: "res3b1_branch2c" 869 name: "bn3b1_branch2c" 870 type: "BatchNorm" 871 batch_norm_param { 872 use_global_stats: false 873 } 874 } 875

876 layer { 877 bottom: "res3b1_branch2c" 878 top: "res3b1_branch2c" 879 name: "scale3b1_branch2c" 880 type: "Scale" 881 scale_param { 882 bias_term: true 883 } 884 } 885

886 layer { 887 bottom: "res3a" 888 bottom: "res3b1_branch2c" 889 top: "res3b1" 890 name: "res3b1" 891 type: "Eltwise" 892 eltwise_param { 893 operation: SUM 894 } 895 } 896

897 layer { 898 bottom: "res3b1" 899 top: "res3b1" 900 name: "res3b1_relu" 901 type: "ReLU" 902 } 903

904 layer { 905 bottom: "res3b1" 906 top: "res3b2_branch2a" 907 name: "res3b2_branch2a" 908 type: "Convolution" 909 convolution_param { 910 num_output: 128 911 kernel_size: 1 912 pad: 0 913 stride: 1 914 weight_filler { 915 type: "msra" 916 } 917 bias_term: false 918

919 } 920 } 921

922 layer { 923 bottom: "res3b2_branch2a" 924 top: "res3b2_branch2a" 925 name: "bn3b2_branch2a" 926 type: "BatchNorm" 927 batch_norm_param { 928 use_global_stats: false 929 } 930 } 931

932 layer { 933 bottom: "res3b2_branch2a" 934 top: "res3b2_branch2a" 935 name: "scale3b2_branch2a" 936 type: "Scale" 937 scale_param { 938 bias_term: true 939 } 940 } 941

942 layer { 943 bottom: "res3b2_branch2a" 944 top: "res3b2_branch2a" 945 name: "res3b2_branch2a_relu" 946 type: "ReLU" 947 } 948

949 layer { 950 bottom: "res3b2_branch2a" 951 top: "res3b2_branch2b" 952 name: "res3b2_branch2b" 953 type: "Convolution" 954 convolution_param { 955 num_output: 128 956 kernel_size: 3 957 pad: 1 958 stride: 1 959 weight_filler { 960 type: "msra" 961 } 962 bias_term: false 963

964 } 965 } 966

967 layer { 968 bottom: "res3b2_branch2b" 969 top: "res3b2_branch2b" 970 name: "bn3b2_branch2b" 971 type: "BatchNorm" 972 batch_norm_param { 973 use_global_stats: false 974 } 975 } 976

977 layer { 978 bottom: "res3b2_branch2b" 979 top: "res3b2_branch2b" 980 name: "scale3b2_branch2b" 981 type: "Scale" 982 scale_param { 983 bias_term: true 984 } 985 } 986

987 layer { 988 bottom: "res3b2_branch2b" 989 top: "res3b2_branch2b" 990 name: "res3b2_branch2b_relu" 991 type: "ReLU" 992 } 993

994 layer { 995 bottom: "res3b2_branch2b" 996 top: "res3b2_branch2c" 997 name: "res3b2_branch2c" 998 type: "Convolution" 999 convolution_param {1000 num_output: 5121001 kernel_size: 11002 pad: 01003 stride: 11004 weight_filler {1005 type: "msra"1006 }1007 bias_term: false1008

1009 }1010 }1011

1012 layer {1013 bottom: "res3b2_branch2c"1014 top: "res3b2_branch2c"1015 name: "bn3b2_branch2c"1016 type: "BatchNorm"1017 batch_norm_param {1018 use_global_stats: false1019 }1020 }1021

1022 layer {1023 bottom: "res3b2_branch2c"1024 top: "res3b2_branch2c"1025 name: "scale3b2_branch2c"1026 type: "Scale"1027 scale_param {1028 bias_term: true1029 }1030 }1031

1032 layer {1033 bottom: "res3b1"1034 bottom: "res3b2_branch2c"1035 top: "res3b2"1036 name: "res3b2"1037 type: "Eltwise"1038 eltwise_param {1039 operation: SUM1040 }1041 }1042

1043 layer {1044 bottom: "res3b2"1045 top: "res3b2"1046 name: "res3b2_relu"1047 type: "ReLU"1048 }1049

1050 layer {1051 bottom: "res3b2"1052 top: "res3b3_branch2a"1053 name: "res3b3_branch2a"1054 type: "Convolution"1055 convolution_param {1056 num_output: 1281057 kernel_size: 11058 pad: 01059 stride: 11060 weight_filler {1061 type: "msra"1062 }1063 bias_term: false1064

1065 }1066 }1067

1068 layer {1069 bottom: "res3b3_branch2a"1070 top: "res3b3_branch2a"1071 name: "bn3b3_branch2a"1072 type: "BatchNorm"1073 batch_norm_param {1074 use_global_stats: false1075 }1076 }1077

1078 layer {1079 bottom: "res3b3_branch2a"1080 top: "res3b3_branch2a"1081 name: "scale3b3_branch2a"1082 type: "Scale"1083 scale_param {1084 bias_term: true1085 }1086 }1087

1088 layer {1089 bottom: "res3b3_branch2a"1090 top: "res3b3_branch2a"1091 name: "res3b3_branch2a_relu"1092 type: "ReLU"1093 }1094

1095 layer {1096 bottom: "res3b3_branch2a"1097 top: "res3b3_branch2b"1098 name: "res3b3_branch2b"1099 type: "Convolution"1100 convolution_param {1101 num_output: 1281102 kernel_size: 31103 pad: 11104 stride: 11105 weight_filler {1106 type: "msra"1107 }1108 bias_term: false1109

1110 }1111 }1112

1113 layer {1114 bottom: "res3b3_branch2b"1115 top: "res3b3_branch2b"1116 name: "bn3b3_branch2b"1117 type: "BatchNorm"1118 batch_norm_param {1119 use_global_stats: false1120 }1121 }1122

1123 layer {1124 bottom: "res3b3_branch2b"1125 top: "res3b3_branch2b"1126 name: "scale3b3_branch2b"1127 type: "Scale"1128 scale_param {1129 bias_term: true1130 }1131 }1132

1133 layer {1134 bottom: "res3b3_branch2b"1135 top: "res3b3_branch2b"1136 name: "res3b3_branch2b_relu"1137 type: "ReLU"1138 }1139

1140 layer {1141 bottom: "res3b3_branch2b"1142 top: "res3b3_branch2c"1143 name: "res3b3_branch2c"1144 type: "Convolution"1145 convolution_param {1146 num_output: 5121147 kernel_size: 11148 pad: 01149 stride: 11150 weight_filler {1151 type: "msra"1152 }1153 bias_term: false1154

1155 }1156 }1157

1158 layer {1159 bottom: "res3b3_branch2c"1160 top: "res3b3_branch2c"1161 name: "bn3b3_branch2c"1162 type: "BatchNorm"1163 batch_norm_param {1164 use_global_stats: false1165 }1166 }1167

1168 layer {1169 bottom: "res3b3_branch2c"1170 top: "res3b3_branch2c"1171 name: "scale3b3_branch2c"1172 type: "Scale"1173 scale_param {1174 bias_term: true1175 }1176 }1177

1178 layer {1179 bottom: "res3b2"1180 bottom: "res3b3_branch2c"1181 top: "res3b3"1182 name: "res3b3"1183 type: "Eltwise"1184 eltwise_param {1185 operation: SUM1186 }1187 }1188

1189 layer {1190 bottom: "res3b3"1191 top: "res3b3"1192 name: "res3b3_relu"1193 type: "ReLU"1194 }1195

1196 layer {1197 bottom: "res3b3"1198 top: "res3b4_branch2a"1199 name: "res3b4_branch2a"1200 type: "Convolution"1201 convolution_param {1202 num_output: 1281203 kernel_size: 11204 pad: 01205 stride: 11206 weight_filler {1207 type: "msra"1208 }1209 bias_term: false1210

1211 }1212 }1213

1214 layer {1215 bottom: "res3b4_branch2a"1216 top: "res3b4_branch2a"1217 name: "bn3b4_branch2a"1218 type: "BatchNorm"1219 batch_norm_param {1220 use_global_stats: false1221 }1222 }1223

1224 layer {1225 bottom: "res3b4_branch2a"1226 top: "res3b4_branch2a"1227 name: "scale3b4_branch2a"1228 type: "Scale"1229 scale_param {1230 bias_term: true1231 }1232 }1233

1234 layer {1235 bottom: "res3b4_branch2a"1236 top: "res3b4_branch2a"1237 name: "res3b4_branch2a_relu"1238 type: "ReLU"1239 }1240

1241 layer {1242 bottom: "res3b4_branch2a"1243 top: "res3b4_branch2b"1244 name: "res3b4_branch2b"1245 type: "Convolution"1246 convolution_param {1247 num_output: 1281248 kernel_size: 31249 pad: 11250 stride: 11251 weight_filler {1252 type: "msra"1253 }1254 bias_term: false1255

1256 }1257 }1258

1259 layer {1260 bottom: "res3b4_branch2b"1261 top: "res3b4_branch2b"1262 name: "bn3b4_branch2b"1263 type: "BatchNorm"1264 batch_norm_param {1265 use_global_stats: false1266 }1267 }1268

1269 layer {1270 bottom: "res3b4_branch2b"1271 top: "res3b4_branch2b"1272 name: "scale3b4_branch2b"1273 type: "Scale"1274 scale_param {1275 bias_term: true1276 }1277 }1278

1279 layer {1280 bottom: "res3b4_branch2b"1281 top: "res3b4_branch2b"1282 name: "res3b4_branch2b_relu"1283 type: "ReLU"1284 }1285

1286 layer {1287 bottom: "res3b4_branch2b"1288 top: "res3b4_branch2c"1289 name: "res3b4_branch2c"1290 type: "Convolution"1291 convolution_param {1292 num_output: 5121293 kernel_size: 11294 pad: 01295 stride: 11296 weight_filler {1297 type: "msra"1298 }1299 bias_term: false1300

1301 }1302 }1303

1304 layer {1305 bottom: "res3b4_branch2c"1306 top: "res3b4_branch2c"1307 name: "bn3b4_branch2c"1308 type: "BatchNorm"1309 batch_norm_param {1310 use_global_stats: false1311 }1312 }1313

1314 layer {1315 bottom: "res3b4_branch2c"1316 top: "res3b4_branch2c"1317 name: "scale3b4_branch2c"1318 type: "Scale"1319 scale_param {1320 bias_term: true1321 }1322 }1323

1324 layer {1325 bottom: "res3b3"1326 bottom: "res3b4_branch2c"1327 top: "res3b4"1328 name: "res3b4"1329 type: "Eltwise"1330 eltwise_param {1331 operation: SUM1332 }1333 }1334

1335 layer {1336 bottom: "res3b4"1337 top: "res3b4"1338 name: "res3b4_relu"1339 type: "ReLU"1340 }1341

1342 layer {1343 bottom: "res3b4"1344 top: "res3b5_branch2a"1345 name: "res3b5_branch2a"1346 type: "Convolution"1347 convolution_param {1348 num_output: 1281349 kernel_size: 11350 pad: 01351 stride: 11352 weight_filler {1353 type: "msra"1354 }1355 bias_term: false1356

1357 }1358 }1359

1360 layer {1361 bottom: "res3b5_branch2a"1362 top: "res3b5_branch2a"1363 name: "bn3b5_branch2a"1364 type: "BatchNorm"1365 batch_norm_param {1366 use_global_stats: false1367 }1368 }1369

1370 layer {1371 bottom: "res3b5_branch2a"1372 top: "res3b5_branch2a"1373 name: "scale3b5_branch2a"1374 type: "Scale"1375 scale_param {1376 bias_term: true1377 }1378 }1379

1380 layer {1381 bottom: "res3b5_branch2a"1382 top: "res3b5_branch2a"1383 name: "res3b5_branch2a_relu"1384 type: "ReLU"1385 }1386

1387 layer {1388 bottom: "res3b5_branch2a"1389 top: "res3b5_branch2b"1390 name: "res3b5_branch2b"1391 type: "Convolution"1392 convolution_param {1393 num_output: 1281394 kernel_size: 31395 pad: 11396 stride: 11397 weight_filler {1398 type: "msra"1399 }1400 bias_term: false1401

1402 }1403 }1404

1405 layer {1406 bottom: "res3b5_branch2b"1407 top: "res3b5_branch2b"1408 name: "bn3b5_branch2b"1409 type: "BatchNorm"1410 batch_norm_param {1411 use_global_stats: false1412 }1413 }1414

1415 layer {1416 bottom: "res3b5_branch2b"1417 top: "res3b5_branch2b"1418 name: "scale3b5_branch2b"1419 type: "Scale"1420 scale_param {1421 bias_term: true1422 }1423 }1424

1425 layer {1426 bottom: "res3b5_branch2b"1427 top: "res3b5_branch2b"1428 name: "res3b5_branch2b_relu"1429 type: "ReLU"1430 }1431

1432 layer {1433 bottom: "res3b5_branch2b"1434 top: "res3b5_branch2c"1435 name: "res3b5_branch2c"1436 type: "Convolution"1437 convolution_param {1438 num_output: 5121439 kernel_size: 11440 pad: 01441 stride: 11442 weight_filler {1443 type: "msra"1444 }1445 bias_term: false1446

1447 }1448 }1449

1450 layer {1451 bottom: "res3b5_branch2c"1452 top: "res3b5_branch2c"1453 name: "bn3b5_branch2c"1454 type: "BatchNorm"1455 batch_norm_param {1456 use_global_stats: false1457 }1458 }1459

1460 layer {1461 bottom: "res3b5_branch2c"1462 top: "res3b5_branch2c"1463 name: "scale3b5_branch2c"1464 type: "Scale"1465 scale_param {1466 bias_term: true1467 }1468 }1469

1470 layer {1471 bottom: "res3b4"1472 bottom: "res3b5_branch2c"1473 top: "res3b5"1474 name: "res3b5"1475 type: "Eltwise"1476 eltwise_param {1477 operation: SUM1478 }1479 }1480

1481 layer {1482 bottom: "res3b5"1483 top: "res3b5"1484 name: "res3b5_relu"1485 type: "ReLU"1486 }1487

1488 layer {1489 bottom: "res3b5"1490 top: "res3b6_branch2a"1491 name: "res3b6_branch2a"1492 type: "Convolution"1493 convolution_param {1494 num_output: 1281495 kernel_size: 11496 pad: 01497 stride: 11498 weight_filler {1499 type: "msra"1500 }1501 bias_term: false1502

1503 }1504 }1505

1506 layer {1507 bottom: "res3b6_branch2a"1508 top: "res3b6_branch2a"1509 name: "bn3b6_branch2a"1510 type: "BatchNorm"1511 batch_norm_param {1512 use_global_stats: false1513 }1514 }1515

1516 layer {1517 bottom: "res3b6_branch2a"1518 top: "res3b6_branch2a"1519 name: "scale3b6_branch2a"1520 type: "Scale"1521 scale_param {1522 bias_term: true1523 }1524 }1525

1526 layer {1527 bottom: "res3b6_branch2a"1528 top: "res3b6_branch2a"1529 name: "res3b6_branch2a_relu"1530 type: "ReLU"1531 }1532

1533 layer {1534 bottom: "res3b6_branch2a"1535 top: "res3b6_branch2b"1536 name: "res3b6_branch2b"1537 type: "Convolution"1538 convolution_param {1539 num_output: 1281540 kernel_size: 31541 pad: 11542 stride: 11543 weight_filler {1544 type: "msra"1545 }1546 bias_term: false1547

1548 }1549 }1550

1551 layer {1552 bottom: "res3b6_branch2b"1553 top: "res3b6_branch2b"1554 name: "bn3b6_branch2b"1555 type: "BatchNorm"1556 batch_norm_param {1557 use_global_stats: false1558 }1559 }1560

1561 layer {1562 bottom: "res3b6_branch2b"1563 top: "res3b6_branch2b"1564 name: "scale3b6_branch2b"1565 type: "Scale"1566 scale_param {1567 bias_term: true1568 }1569 }1570

1571 layer {1572 bottom: "res3b6_branch2b"1573 top: "res3b6_branch2b"1574 name: "res3b6_branch2b_relu"1575 type: "ReLU"1576 }1577

1578 layer {1579 bottom: "res3b6_branch2b"1580 top: "res3b6_branch2c"1581 name: "res3b6_branch2c"1582 type: "Convolution"1583 convolution_param {1584 num_output: 5121585 kernel_size: 11586 pad: 01587 stride: 11588 weight_filler {1589 type: "msra"1590 }1591 bias_term: false1592

1593 }1594 }1595

1596 layer {1597 bottom: "res3b6_branch2c"1598 top: "res3b6_branch2c"1599 name: "bn3b6_branch2c"1600 type: "BatchNorm"1601 batch_norm_param {1602 use_global_stats: false1603 }1604 }1605

1606 layer {1607 bottom: "res3b6_branch2c"1608 top: "res3b6_branch2c"1609 name: "scale3b6_branch2c"1610 type: "Scale"1611 scale_param {1612 bias_term: true1613 }1614 }1615

1616 layer {1617 bottom: "res3b5"1618 bottom: "res3b6_branch2c"1619 top: "res3b6"1620 name: "res3b6"1621 type: "Eltwise"1622 eltwise_param {1623 operation: SUM1624 }1625 }1626

1627 layer {1628 bottom: "res3b6"1629 top: "res3b6"1630 name: "res3b6_relu"1631 type: "ReLU"1632 }1633

1634 layer {1635 bottom: "res3b6"1636 top: "res3b7_branch2a"1637 name: "res3b7_branch2a"1638 type: "Convolution"1639 convolution_param {1640 num_output: 1281641 kernel_size: 11642 pad: 01643 stride: 11644 weight_filler {1645 type: "msra"1646 }1647 bias_term: false1648

1649 }1650 }1651

1652 layer {1653 bottom: "res3b7_branch2a"1654 top: "res3b7_branch2a"1655 name: "bn3b7_branch2a"1656 type: "BatchNorm"1657 batch_norm_param {1658 use_global_stats: false1659 }1660 }1661

1662 layer {1663 bottom: "res3b7_branch2a"1664 top: "res3b7_branch2a"1665 name: "scale3b7_branch2a"1666 type: "Scale"1667 scale_param {1668 bias_term: true1669 }1670 }1671

1672 layer {1673 bottom: "res3b7_branch2a"1674 top: "res3b7_branch2a"1675 name: "res3b7_branch2a_relu"1676 type: "ReLU"1677 }1678

1679 layer {1680 bottom: "res3b7_branch2a"1681 top: "res3b7_branch2b"1682 name: "res3b7_branch2b"1683 type: "Convolution"1684 convolution_param {1685 num_output: 1281686 kernel_size: 31687 pad: 11688 stride: 11689 weight_filler {1690 type: "msra"1691 }1692 bias_term: false1693

1694 }1695 }1696

1697 layer {1698 bottom: "res3b7_branch2b"1699 top: "res3b7_branch2b"1700 name: "bn3b7_branch2b"1701 type: "BatchNorm"1702 batch_norm_param {1703 use_global_stats: false1704 }1705 }1706

1707 layer {1708 bottom: "res3b7_branch2b"1709 top: "res3b7_branch2b"1710 name: "scale3b7_branch2b"1711 type: "Scale"1712 scale_param {1713 bias_term: true1714 }1715 }1716

1717 layer {1718 bottom: "res3b7_branch2b"1719 top: "res3b7_branch2b"1720 name: "res3b7_branch2b_relu"1721 type: "ReLU"1722 }1723

1724 layer {1725 bottom: "res3b7_branch2b"1726 top: "res3b7_branch2c"1727 name: "res3b7_branch2c"1728 type: "Convolution"1729 convolution_param {1730 num_output: 5121731 kernel_size: 11732 pad: 01733 stride: 11734 weight_filler {1735 type: "msra"1736 }1737 bias_term: false1738

1739 }1740 }1741

1742 layer {1743 bottom: "res3b7_branch2c"1744 top: "res3b7_branch2c"1745 name: "bn3b7_branch2c"1746 type: "BatchNorm"1747 batch_norm_param {1748 use_global_stats: false1749 }1750 }1751

1752 layer {1753 bottom: "res3b7_branch2c"1754 top: "res3b7_branch2c"1755 name: "scale3b7_branch2c"1756 type: "Scale"1757 scale_param {1758 bias_term: true1759 }1760 }1761

1762 layer {1763 bottom: "res3b6"1764 bottom: "res3b7_branch2c"1765 top: "res3b7"1766 name: "res3b7"1767 type: "Eltwise"1768 eltwise_param {1769 operation: SUM1770 }1771 }1772

1773 layer {1774 bottom: "res3b7"1775 top: "res3b7"1776 name: "res3b7_relu"1777 type: "ReLU"1778 }1779

1780 layer {1781 bottom: "res3b7"1782 top: "res4a_branch1"1783 name: "res4a_branch1"1784 type: "Convolution"1785 convolution_param {1786 num_output: 10241787 kernel_size: 11788 pad: 01789 stride: 21790 weight_filler {1791 type: "msra"1792 }1793 bias_term: false1794

1795 }1796 }1797

1798 layer {1799 bottom: "res4a_branch1"1800 top: "res4a_branch1"1801 name: "bn4a_branch1"1802 type: "BatchNorm"1803 batch_norm_param {1804 use_global_stats: false1805 }1806 }1807

1808 layer {1809 bottom: "res4a_branch1"1810 top: "res4a_branch1"1811 name: "scale4a_branch1"1812 type: "Scale"1813 scale_param {1814 bias_term: true1815 }1816 }1817 1818 layer {1819 bottom: "res3b7"1820 top: "res4a_branch2a"1821 name: "res4a_branch2a"1822 type: "Convolution"1823 convolution_param {1824 num_output: 2561825 kernel_size: 11826 pad: 01827 stride: 21828 weight_filler {1829 type: "msra"1830 }1831 bias_term: false1832

1833 }1834 }1835

1836 layer {1837 bottom: "res4a_branch2a"1838 top: "res4a_branch2a"1839 name: "bn4a_branch2a"1840 type: "BatchNorm"1841 batch_norm_param {1842 use_global_stats: false1843 }1844 }1845

1846 layer {1847 bottom: "res4a_branch2a"1848 top: "res4a_branch2a"1849 name: "scale4a_branch2a"1850 type: "Scale"1851 scale_param {1852 bias_term: true1853 }1854 }1855

1856 layer {1857 bottom: "res4a_branch2a"1858 top: "res4a_branch2a"1859 name: "res4a_branch2a_relu"1860 type: "ReLU"1861 }1862

1863 layer {1864 bottom: "res4a_branch2a"1865 top: "res4a_branch2b"1866 name: "res4a_branch2b"1867 type: "Convolution"1868 convolution_param {1869 num_output: 2561870 kernel_size: 31871 pad: 11872 stride: 11873 weight_filler {1874 type: "msra"1875 }1876 bias_term: false1877

1878 }1879 }1880

1881 layer {1882 bottom: "res4a_branch2b"1883 top: "res4a_branch2b"1884 name: "bn4a_branch2b"1885 type: "BatchNorm"1886 batch_norm_param {1887 use_global_stats: false1888 }1889 }1890

1891 layer {1892 bottom: "res4a_branch2b"1893 top: "res4a_branch2b"1894 name: "scale4a_branch2b"1895 type: "Scale"1896 scale_param {1897 bias_term: true1898 }1899 }1900

1901 layer {1902 bottom: "res4a_branch2b"1903 top: "res4a_branch2b"1904 name: "res4a_branch2b_relu"1905 type: "ReLU"1906 }1907

1908 layer {1909 bottom: "res4a_branch2b"1910 top: "res4a_branch2c"1911 name: "res4a_branch2c"1912 type: "Convolution"1913 convolution_param {1914 num_output: 10241915 kernel_size: 11916 pad: 01917 stride: 11918 weight_filler {1919 type: "msra"1920 }1921 bias_term: false1922

1923 }1924 }1925

1926 layer {1927 bottom: "res4a_branch2c"1928 top: "res4a_branch2c"1929 name: "bn4a_branch2c"1930 type: "BatchNorm"1931 batch_norm_param {1932 use_global_stats: false1933 }1934 }1935

1936 layer {1937 bottom: "res4a_branch2c"1938 top: "res4a_branch2c"1939 name: "scale4a_branch2c"1940 type: "Scale"1941 scale_param {1942 bias_term: true1943 }1944 }1945

1946 layer {1947 bottom: "res4a_branch1"1948 bottom: "res4a_branch2c"1949 top: "res4a"1950 name: "res4a"1951 type: "Eltwise"1952 eltwise_param {1953 operation: SUM1954 }1955 }1956

1957 layer {1958 bottom: "res4a"1959 top: "res4a"1960 name: "res4a_relu"1961 type: "ReLU"1962 }1963

1964 layer {1965 bottom: "res4a"1966 top: "res4b1_branch2a"1967 name: "res4b1_branch2a"1968 type: "Convolution"1969 convolution_param {1970 num_output: 2561971 kernel_size: 11972 pad: 01973 stride: 11974 weight_filler {1975 type: "msra"1976 }1977 bias_term: false1978

1979 }1980 }1981

1982 layer {1983 bottom: "res4b1_branch2a"1984 top: "res4b1_branch2a"1985 name: "bn4b1_branch2a"1986 type: "BatchNorm"1987 batch_norm_param {1988 use_global_stats: false1989 }1990 }1991

1992 layer {1993 bottom: "res4b1_branch2a"1994 top: "res4b1_branch2a"1995 name: "scale4b1_branch2a"1996 type: "Scale"1997 scale_param {1998 bias_term: true1999 }2000 }2001

2002 layer {2003 bottom: "res4b1_branch2a"2004 top: "res4b1_branch2a"2005 name: "res4b1_branch2a_relu"2006 type: "ReLU"2007 }2008

2009 layer {2010 bottom: "res4b1_branch2a"2011 top: "res4b1_branch2b"2012 name: "res4b1_branch2b"2013 type: "Convolution"2014 convolution_param {2015 num_output: 2562016 kernel_size: 32017 pad: 12018 stride: 12019 weight_filler {2020 type: "msra"2021 }2022 bias_term: false2023

2024 }2025 }2026

2027 layer {2028 bottom: "res4b1_branch2b"2029 top: "res4b1_branch2b"2030 name: "bn4b1_branch2b"2031 type: "BatchNorm"2032 batch_norm_param {2033 use_global_stats: false2034 }2035 }2036

2037 layer {2038 bottom: "res4b1_branch2b"2039 top: "res4b1_branch2b"2040 name: "scale4b1_branch2b"2041 type: "Scale"2042 scale_param {2043 bias_term: true2044 }2045 }2046

2047 layer {2048 bottom: "res4b1_branch2b"2049 top: "res4b1_branch2b"2050 name: "res4b1_branch2b_relu"2051 type: "ReLU"2052 }2053

2054 layer {2055 bottom: "res4b1_branch2b"2056 top: "res4b1_branch2c"2057 name: "res4b1_branch2c"2058 type: "Convolution"2059 convolution_param {2060 num_output: 10242061 kernel_size: 12062 pad: 02063 stride: 12064 weight_filler {2065 type: "msra"2066 }2067 bias_term: false2068

2069 }2070 }2071

2072 layer {2073 bottom: "res4b1_branch2c"2074 top: "res4b1_branch2c"2075 name: "bn4b1_branch2c"2076 type: "BatchNorm"2077 batch_norm_param {2078 use_global_stats: false2079 }2080 }2081

2082 layer {2083 bottom: "res4b1_branch2c"2084 top: "res4b1_branch2c"2085 name: "scale4b1_branch2c"2086 type: "Scale"2087 scale_param {2088 bias_term: true2089 }2090 }2091

2092 layer {2093 bottom: "res4a"2094 bottom: "res4b1_branch2c"2095 top: "res4b1"2096 name: "res4b1"2097 type: "Eltwise"2098 eltwise_param {2099 operation: SUM2100 }2101 }2102

2103 layer {2104 bottom: "res4b1"2105 top: "res4b1"2106 name: "res4b1_relu"2107 type: "ReLU"2108 }2109

2110 layer {2111 bottom: "res4b1"2112 top: "res4b2_branch2a"2113 name: "res4b2_branch2a"2114 type: "Convolution"2115 convolution_param {2116 num_output: 2562117 kernel_size: 12118 pad: 02119 stride: 12120 weight_filler {2121 type: "msra"2122 }2123 bias_term: false2124

2125 }2126 }2127

2128 layer {2129 bottom: "res4b2_branch2a"2130 top: "res4b2_branch2a"2131 name: "bn4b2_branch2a"2132 type: "BatchNorm"2133 batch_norm_param {2134 use_global_stats: false2135 }2136 }2137

2138 layer {2139 bottom: "res4b2_branch2a"2140 top: "res4b2_branch2a"2141 name: "scale4b2_branch2a"2142 type: "Scale"2143 scale_param {2144 bias_term: true2145 }2146 }2147

2148 layer {2149 bottom: "res4b2_branch2a"2150 top: "res4b2_branch2a"2151 name: "res4b2_branch2a_relu"2152 type: "ReLU"2153 }2154

2155 layer {2156 bottom: "res4b2_branch2a"2157 top: "res4b2_branch2b"2158 name: "res4b2_branch2b"2159 type: "Convolution"2160 convolution_param {2161 num_output: 2562162 kernel_size: 32163 pad: 12164 stride: 12165 weight_filler {2166 type: "msra"2167 }2168 bias_term: false2169

2170 }2171 }2172

2173 layer {2174 bottom: "res4b2_branch2b"2175 top: "res4b2_branch2b"2176 name: "bn4b2_branch2b"2177 type: "BatchNorm"2178 batch_norm_param {2179 use_global_stats: false2180 }2181 }2182

2183 layer {2184 bottom: "res4b2_branch2b"2185 top: "res4b2_branch2b"2186 name: "scale4b2_branch2b"2187 type: "Scale"2188 scale_param {2189 bias_term: true2190 }2191 }2192

2193 layer {2194 bottom: "res4b2_branch2b"2195 top: "res4b2_branch2b"2196 name: "res4b2_branch2b_relu"2197 type: "ReLU"2198 }2199

2200 layer {2201 bottom: "res4b2_branch2b"2202 top: "res4b2_branch2c"2203 name: "res4b2_branch2c"2204 type: "Convolution"2205 convolution_param {2206 num_output: 10242207 kernel_size: 12208 pad: 02209 stride: 12210 weight_filler {2211 type: "msra"2212 }2213 bias_term: false2214

2215 }2216 }2217

2218 layer {2219 bottom: "res4b2_branch2c"2220 top: "res4b2_branch2c"2221 name: "bn4b2_branch2c"2222 type: "BatchNorm"2223 batch_norm_param {2224 use_global_stats: false2225 }2226 }2227

2228 layer {2229 bottom: "res4b2_branch2c"2230 top: "res4b2_branch2c"2231 name: "scale4b2_branch2c"2232 type: "Scale"2233 scale_param {2234 bias_term: true2235 }2236 }2237

2238 layer {2239 bottom: "res4b1"2240 bottom: "res4b2_branch2c"2241 top: "res4b2"2242 name: "res4b2"2243 type: "Eltwise"2244 eltwise_param {2245 operation: SUM2246 }2247 }2248

2249 layer {2250 bottom: "res4b2"2251 top: "res4b2"2252 name: "res4b2_relu"2253 type: "ReLU"2254 }2255

2256 layer {2257 bottom: "res4b2"2258 top: "res4b3_branch2a"2259 name: "res4b3_branch2a"2260 type: "Convolution"2261 convolution_param {2262 num_output: 2562263 kernel_size: 12264 pad: 02265 stride: 12266 weight_filler {2267 type: "msra"2268 }2269 bias_term: false2270

2271 }2272 }2273

2274 layer {2275 bottom: "res4b3_branch2a"2276 top: "res4b3_branch2a"2277 name: "bn4b3_branch2a"2278 type: "BatchNorm"2279 batch_norm_param {2280 use_global_stats: false2281 }2282 }2283

2284 layer {2285 bottom: "res4b3_branch2a"2286 top: "res4b3_branch2a"2287 name: "scale4b3_branch2a"2288 type: "Scale"2289 scale_param {2290 bias_term: true2291 }2292 }2293

2294 layer {2295 bottom: "res4b3_branch2a"2296 top: "res4b3_branch2a"2297 name: "res4b3_branch2a_relu"2298 type: "ReLU"2299 }2300

2301 layer {2302 bottom: "res4b3_branch2a"2303 top: "res4b3_branch2b"2304 name: "res4b3_branch2b"2305 type: "Convolution"2306 convolution_param {2307 num_output: 2562308 kernel_size: 32309 pad: 12310 stride: 12311 weight_filler {2312 type: "msra"2313 }2314 bias_term: false2315

2316 }2317 }2318

2319 layer {2320 bottom: "res4b3_branch2b"2321 top: "res4b3_branch2b"2322 name: "bn4b3_branch2b"2323 type: "BatchNorm"2324 batch_norm_param {2325 use_global_stats: false2326 }2327 }2328

2329 layer {2330 bottom: "res4b3_branch2b"2331 top: "res4b3_branch2b"2332 name: "scale4b3_branch2b"2333 type: "Scale"2334 scale_param {2335 bias_term: true2336 }2337 }2338

2339 layer {2340 bottom: "res4b3_branch2b"2341 top: "res4b3_branch2b"2342 name: "res4b3_branch2b_relu"2343 type: "ReLU"2344 }2345

2346 layer {2347 bottom: "res4b3_branch2b"2348 top: "res4b3_branch2c"2349 name: "res4b3_branch2c"2350 type: "Convolution"2351 convolution_param {2352 num_output: 10242353 kernel_size: 12354 pad: 02355 stride: 12356 weight_filler {2357 type: "msra"2358 }2359 bias_term: false2360

2361 }2362 }2363

2364 layer {2365 bottom: "res4b3_branch2c"2366 top: "res4b3_branch2c"2367 name: "bn4b3_branch2c"2368 type: "BatchNorm"2369 batch_norm_param {2370 use_global_stats: false2371 }2372 }2373

2374 layer {2375 bottom: "res4b3_branch2c"2376 top: "res4b3_branch2c"2377 name: "scale4b3_branch2c"2378 type: "Scale"2379 scale_param {2380 bias_term: true2381 }2382 }2383

2384 layer {2385 bottom: "res4b2"2386 bottom: "res4b3_branch2c"2387 top: "res4b3"2388 name: "res4b3"2389 type: "Eltwise"2390 eltwise_param {2391 operation: SUM2392 }2393 }2394

2395 layer {2396 bottom: "res4b3"2397 top: "res4b3"2398 name: "res4b3_relu"2399 type: "ReLU"2400 }2401

2402 layer {2403 bottom: "res4b3"2404 top: "res4b4_branch2a"2405 name: "res4b4_branch2a"2406 type: "Convolution"2407 convolution_param {2408 num_output: 2562409 kernel_size: 12410 pad: 02411 stride: 12412 weight_filler {2413 type: "msra"2414 }2415 bias_term: false2416

2417 }2418 }2419

2420 layer {2421 bottom: "res4b4_branch2a"2422 top: "res4b4_branch2a"2423 name: "bn4b4_branch2a"2424 type: "BatchNorm"2425 batch_norm_param {2426 use_global_stats: false2427 }2428 }2429

2430 layer {2431 bottom: "res4b4_branch2a"2432 top: "res4b4_branch2a"2433 name: "scale4b4_branch2a"2434 type: "Scale"2435 scale_param {2436 bias_term: true2437 }2438 }2439

2440 layer {2441 bottom: "res4b4_branch2a"2442 top: "res4b4_branch2a"2443 name: "res4b4_branch2a_relu"2444 type: "ReLU"2445 }2446

2447 layer {2448 bottom: "res4b4_branch2a"2449 top: "res4b4_branch2b"2450 name: "res4b4_branch2b"2451 type: "Convolution"2452 convolution_param {2453 num_output: 2562454 kernel_size: 32455 pad: 12456 stride: 12457 weight_filler {2458 type: "msra"2459 }2460 bias_term: false2461

2462 }2463 }2464

2465 layer {2466 bottom: "res4b4_branch2b"2467 top: "res4b4_branch2b"2468 name: "bn4b4_branch2b"2469 type: "BatchNorm"2470 batch_norm_param {2471 use_global_stats: false2472 }2473 }2474

2475 layer {2476 bottom: "res4b4_branch2b"2477 top: "res4b4_branch2b"2478 name: "scale4b4_branch2b"2479 type: "Scale"2480 scale_param {2481 bias_term: true2482 }2483 }2484

2485 layer {2486 bottom: "res4b4_branch2b"2487 top: "res4b4_branch2b"2488 name: "res4b4_branch2b_relu"2489 type: "ReLU"2490 }2491

2492 layer {2493 bottom: "res4b4_branch2b"2494 top: "res4b4_branch2c"2495 name: "res4b4_branch2c"2496 type: "Convolution"2497 convolution_param {2498 num_output: 10242499 kernel_size: 12500 pad: 02501 stride: 12502 weight_filler {2503 type: "msra"2504 }2505 bias_term: false2506

2507 }2508 }2509

2510 layer {2511 bottom: "res4b4_branch2c"2512 top: "res4b4_branch2c"2513 name: "bn4b4_branch2c"2514 type: "BatchNorm"2515 batch_norm_param {2516 use_global_stats: false2517 }2518 }2519

2520 layer {2521 bottom: "res4b4_branch2c"2522 top: "res4b4_branch2c"2523 name: "scale4b4_branch2c"2524 type: "Scale"2525 scale_param {2526 bias_term: true2527 }2528 }2529

2530 layer {2531 bottom: "res4b3"2532 bottom: "res4b4_branch2c"2533 top: "res4b4"2534 name: "res4b4"2535 type: "Eltwise"2536 eltwise_param {2537 operation: SUM2538 }2539 }2540

2541 layer {2542 bottom: "res4b4"2543 top: "res4b4"2544 name: "res4b4_relu"2545 type: "ReLU"2546 }2547

2548 layer {2549 bottom: "res4b4"2550 top: "res4b5_branch2a"2551 name: "res4b5_branch2a"2552 type: "Convolution"2553 convolution_param {2554 num_output: 2562555 kernel_size: 12556 pad: 02557 stride: 12558 weight_filler {2559 type: "msra"2560 }2561 bias_term: false2562

2563 }2564 }2565

2566 layer {2567 bottom: "res4b5_branch2a"2568 top: "res4b5_branch2a"2569 name: "bn4b5_branch2a"2570 type: "BatchNorm"2571 batch_norm_param {2572 use_global_stats: false2573 }2574 }2575

2576 layer {2577 bottom: "res4b5_branch2a"2578 top: "res4b5_branch2a"2579 name: "scale4b5_branch2a"2580 type: "Scale"2581 scale_param {2582 bias_term: true2583 }2584 }2585

2586 layer {2587 bottom: "res4b5_branch2a"2588 top: "res4b5_branch2a"2589 name: "res4b5_branch2a_relu"2590 type: "ReLU"2591 }2592

2593 layer {2594 bottom: "res4b5_branch2a"2595 top: "res4b5_branch2b"2596 name: "res4b5_branch2b"2597 type: "Convolution"2598 convolution_param {2599 num_output: 2562600 kernel_size: 32601 pad: 12602 stride: 12603 weight_filler {2604 type: "msra"2605 }2606 bias_term: false2607

2608 }2609 }2610

2611 layer {2612 bottom: "res4b5_branch2b"2613 top: "res4b5_branch2b"2614 name: "bn4b5_branch2b"2615 type: "BatchNorm"2616 batch_norm_param {2617 use_global_stats: false2618 }2619 }2620

2621 layer {2622 bottom: "res4b5_branch2b"2623 top: "res4b5_branch2b"2624 name: "scale4b5_branch2b"2625 type: "Scale"2626 scale_param {2627 bias_term: true2628 }2629 }2630

2631 layer {2632 bottom: "res4b5_branch2b"2633 top: "res4b5_branch2b"2634 name: "res4b5_branch2b_relu"2635 type: "ReLU"2636 }2637

2638 layer {2639 bottom: "res4b5_branch2b"2640 top: "res4b5_branch2c"2641 name: "res4b5_branch2c"2642 type: "Convolution"2643 convolution_param {2644 num_output: 10242645 kernel_size: 12646 pad: 02647 stride: 12648 weight_filler {2649 type: "msra"2650 }2651 bias_term: false2652

2653 }2654 }2655

2656 layer {2657 bottom: "res4b5_branch2c"2658 top: "res4b5_branch2c"2659 name: "bn4b5_branch2c"2660 type: "BatchNorm"2661 batch_norm_param {2662 use_global_stats: false2663 }2664 }2665

2666 layer {2667 bottom: "res4b5_branch2c"2668 top: "res4b5_branch2c"2669 name: "scale4b5_branch2c"2670 type: "Scale"2671 scale_param {2672 bias_term: true2673 }2674 }2675

2676 layer {2677 bottom: "res4b4"2678 bottom: "res4b5_branch2c"2679 top: "res4b5"2680 name: "res4b5"2681 type: "Eltwise"2682 eltwise_param {2683 operation: SUM2684 }2685 }2686

2687 layer {2688 bottom: "res4b5"2689 top: "res4b5"2690 name: "res4b5_relu"2691 type: "ReLU"2692 }2693

2694 layer {2695 bottom: "res4b5"2696 top: "res4b6_branch2a"2697 name: "res4b6_branch2a"2698 type: "Convolution"2699 convolution_param {2700 num_output: 2562701 kernel_size: 12702 pad: 02703 stride: 12704 weight_filler {2705 type: "msra"2706 }2707 bias_term: false2708

2709 }2710 }2711

2712 layer {2713 bottom: "res4b6_branch2a"2714 top: "res4b6_branch2a"2715 name: "bn4b6_branch2a"2716 type: "BatchNorm"2717 batch_norm_param {2718 use_global_stats: false2719 }2720 }2721

2722 layer {2723 bottom: "res4b6_branch2a"2724 top: "res4b6_branch2a"2725 name: "scale4b6_branch2a"2726 type: "Scale"2727 scale_param {2728 bias_term: true2729 }2730 }2731

2732 layer {2733 bottom: "res4b6_branch2a"2734 top: "res4b6_branch2a"2735 name: "res4b6_branch2a_relu"2736 type: "ReLU"2737 }2738

2739 layer {2740 bottom: "res4b6_branch2a"2741 top: "res4b6_branch2b"2742 name: "res4b6_branch2b"2743 type: "Convolution"2744 convolution_param {2745 num_output: 2562746 kernel_size: 32747 pad: 12748 stride: 12749 weight_filler {2750 type: "msra"2751 }2752 bias_term: false2753

2754 }2755 }2756

2757 layer {2758 bottom: "res4b6_branch2b"2759 top: "res4b6_branch2b"2760 name: "bn4b6_branch2b"2761 type: "BatchNorm"2762 batch_norm_param {2763 use_global_stats: false2764 }2765 }2766

2767 layer {2768 bottom: "res4b6_branch2b"2769 top: "res4b6_branch2b"2770 name: "scale4b6_branch2b"2771 type: "Scale"2772 scale_param {2773 bias_term: true2774 }2775 }2776

2777 layer {2778 bottom: "res4b6_branch2b"2779 top: "res4b6_branch2b"2780 name: "res4b6_branch2b_relu"2781 type: "ReLU"2782 }2783

2784 layer {2785 bottom: "res4b6_branch2b"2786 top: "res4b6_branch2c"2787 name: "res4b6_branch2c"2788 type: "Convolution"2789 convolution_param {2790 num_output: 10242791 kernel_size: 12792 pad: 02793 stride: 12794 weight_filler {2795 type: "msra"2796 }2797 bias_term: false2798

2799 }2800 }2801 2802 layer {2803 bottom: "res4b6_branch2c"2804 top: "res4b6_branch2c"2805 name: "bn4b6_branch2c"2806 type: "BatchNorm"2807 batch_norm_param {2808 use_global_stats: false2809 }2810 }2811

2812 layer {2813 bottom: "res4b6_branch2c"2814 top: "res4b6_branch2c"2815 name: "scale4b6_branch2c"2816 type: "Scale"2817 scale_param {2818 bias_term: true2819 }2820 }2821

2822 layer {2823 bottom: "res4b5"2824 bottom: "res4b6_branch2c"2825 top: "res4b6"2826 name: "res4b6"2827 type: "Eltwise"2828 eltwise_param {2829 operation: SUM2830 }2831 }2832

2833 layer {2834 bottom: "res4b6"2835 top: "res4b6"2836 name: "res4b6_relu"2837 type: "ReLU"2838 }2839

2840 layer {2841 bottom: "res4b6"2842 top: "res4b7_branch2a"2843 name: "res4b7_branch2a"2844 type: "Convolution"2845 convolution_param {2846 num_output: 2562847 kernel_size: 12848 pad: 02849 stride: 12850 weight_filler {2851 type: "msra"2852 }2853 bias_term: false2854

2855 }2856 }2857

2858 layer {2859 bottom: "res4b7_branch2a"2860 top: "res4b7_branch2a"2861 name: "bn4b7_branch2a"2862 type: "BatchNorm"2863 batch_norm_param {2864 use_global_stats: false2865 }2866 }2867

2868 layer {2869 bottom: "res4b7_branch2a"2870 top: "res4b7_branch2a"2871 name: "scale4b7_branch2a"2872 type: "Scale"2873 scale_param {2874 bias_term: true2875 }2876 }2877

2878 layer {2879 bottom: "res4b7_branch2a"2880 top: "res4b7_branch2a"2881 name: "res4b7_branch2a_relu"2882 type: "ReLU"2883 }2884

2885 layer {2886 bottom: "res4b7_branch2a"2887 top: "res4b7_branch2b"2888 name: "res4b7_branch2b"2889 type: "Convolution"2890 convolution_param {2891 num_output: 2562892 kernel_size: 32893 pad: 12894 stride: 12895 weight_filler {2896 type: "msra"2897 }2898 bias_term: false2899

2900 }2901 }2902

2903 layer {2904 bottom: "res4b7_branch2b"2905 top: "res4b7_branch2b"2906 name: "bn4b7_branch2b"2907 type: "BatchNorm"2908 batch_norm_param {2909 use_global_stats: false2910 }2911 }2912

2913 layer {2914 bottom: "res4b7_branch2b"2915 top: "res4b7_branch2b"2916 name: "scale4b7_branch2b"2917 type: "Scale"2918 scale_param {2919 bias_term: true2920 }2921 }2922

2923 layer {2924 bottom: "res4b7_branch2b"2925 top: "res4b7_branch2b"2926 name: "res4b7_branch2b_relu"2927 type: "ReLU"2928 }2929

2930 layer {2931 bottom: "res4b7_branch2b"2932 top: "res4b7_branch2c"2933 name: "res4b7_branch2c"2934 type: "Convolution"2935 convolution_param {2936 num_output: 10242937 kernel_size: 12938 pad: 02939 stride: 12940 weight_filler {2941 type: "msra"2942 }2943 bias_term: false2944

2945 }2946 }2947

2948 layer {2949 bottom: "res4b7_branch2c"2950 top: "res4b7_branch2c"2951 name: "bn4b7_branch2c"2952 type: "BatchNorm"2953 batch_norm_param {2954 use_global_stats: false2955 }2956 }2957

2958 layer {2959 bottom: "res4b7_branch2c"2960 top: "res4b7_branch2c"2961 name: "scale4b7_branch2c"2962 type: "Scale"2963 scale_param {2964 bias_term: true2965 }2966 }2967

2968 layer {2969 bottom: "res4b6"2970 bottom: "res4b7_branch2c"2971 top: "res4b7"2972 name: "res4b7"2973 type: "Eltwise"2974 eltwise_param {2975 operation: SUM2976 }2977 }2978

2979 layer {2980 bottom: "res4b7"2981 top: "res4b7"2982 name: "res4b7_relu"2983 type: "ReLU"2984 }2985

2986 layer {2987 bottom: "res4b7"2988 top: "res4b8_branch2a"2989 name: "res4b8_branch2a"2990 type: "Convolution"2991 convolution_param {2992 num_output: 2562993 kernel_size: 12994 pad: 02995 stride: 12996 weight_filler {2997 type: "msra"2998 }2999 bias_term: false3000

3001 }3002 }3003

3004 layer {3005 bottom: "res4b8_branch2a"3006 top: "res4b8_branch2a"3007 name: "bn4b8_branch2a"3008 type: "BatchNorm"3009 batch_norm_param {3010 use_global_stats: false3011 }3012 }3013

3014 layer {3015 bottom: "res4b8_branch2a"3016 top: "res4b8_branch2a"3017 name: "scale4b8_branch2a"3018 type: "Scale"3019 scale_param {3020 bias_term: true3021 }3022 }3023

3024 layer {3025 bottom: "res4b8_branch2a"3026 top: "res4b8_branch2a"3027 name: "res4b8_branch2a_relu"3028 type: "ReLU"3029 }3030

3031 layer {3032 bottom: "res4b8_branch2a"3033 top: "res4b8_branch2b"3034 name: "res4b8_branch2b"3035 type: "Convolution"3036 convolution_param {3037 num_output: 2563038 kernel_size: 33039 pad: 13040 stride: 13041 weight_filler {3042 type: "msra"3043 }3044 bias_term: false3045

3046 }3047 }3048

3049 layer {3050 bottom: "res4b8_branch2b"3051 top: "res4b8_branch2b"3052 name: "bn4b8_branch2b"3053 type: "BatchNorm"3054 batch_norm_param {3055 use_global_stats: false3056 }3057 }3058

3059 layer {3060 bottom: "res4b8_branch2b"3061 top: "res4b8_branch2b"3062 name: "scale4b8_branch2b"3063 type: "Scale"3064 scale_param {3065 bias_term: true3066 }3067 }3068

3069 layer {3070 bottom: "res4b8_branch2b"3071 top: "res4b8_branch2b"3072 name: "res4b8_branch2b_relu"3073 type: "ReLU"3074 }3075

3076 layer {3077 bottom: "res4b8_branch2b"3078 top: "res4b8_branch2c"3079 name: "res4b8_branch2c"3080 type: "Convolution"3081 convolution_param {3082 num_output: 10243083 kernel_size: 13084 pad: 03085 stride: 13086 weight_filler {3087 type: "msra"3088 }3089 bias_term: false3090

3091 }3092 }3093

3094 layer {3095 bottom: "res4b8_branch2c"3096 top: "res4b8_branch2c"3097 name: "bn4b8_branch2c"3098 type: "BatchNorm"3099 batch_norm_param {3100 use_global_stats: false3101 }3102 }3103

3104 layer {3105 bottom: "res4b8_branch2c"3106 top: "res4b8_branch2c"3107 name: "scale4b8_branch2c"3108 type: "Scale"3109 scale_param {3110 bias_term: true3111 }3112 }3113

3114 layer {3115 bottom: "res4b7"3116 bottom: "res4b8_branch2c"3117 top: "res4b8"3118 name: "res4b8"3119 type: "Eltwise"3120 eltwise_param {3121 operation: SUM3122 }3123 }3124

3125 layer {3126 bottom: "res4b8"3127 top: "res4b8"3128 name: "res4b8_relu"3129 type: "ReLU"3130 }3131

3132 layer {3133 bottom: "res4b8"3134 top: "res4b9_branch2a"3135 name: "res4b9_branch2a"3136 type: "Convolution"3137 convolution_param {3138 num_output: 2563139 kernel_size: 13140 pad: 03141 stride: 13142 weight_filler {3143 type: "msra"3144 }3145 bias_term: false3146

3147 }3148 }3149

3150 layer {3151 bottom: "res4b9_branch2a"3152 top: "res4b9_branch2a"3153 name: "bn4b9_branch2a"3154 type: "BatchNorm"3155 batch_norm_param {3156 use_global_stats: false3157 }3158 }3159

3160 layer {3161 bottom: "res4b9_branch2a"3162 top: "res4b9_branch2a"3163 name: "scale4b9_branch2a"3164 type: "Scale"3165 scale_param {3166 bias_term: true3167 }3168 }3169

3170 layer {3171 bottom: "res4b9_branch2a"3172 top: "res4b9_branch2a"3173 name: "res4b9_branch2a_relu"3174 type: "ReLU"3175 }3176

3177 layer {3178 bottom: "res4b9_branch2a"3179 top: "res4b9_branch2b"3180 name: "res4b9_branch2b"3181 type: "Convolution"3182 convolution_param {3183 num_output: 2563184 kernel_size: 33185 pad: 13186 stride: 13187 weight_filler {3188 type: "msra"3189 }3190 bias_term: false3191

3192 }3193 }3194

3195 layer {3196 bottom: "res4b9_branch2b"3197 top: "res4b9_branch2b"3198 name: "bn4b9_branch2b"3199 type: "BatchNorm"3200 batch_norm_param {3201 use_global_stats: false3202 }3203 }3204

3205 layer {3206 bottom: "res4b9_branch2b"3207 top: "res4b9_branch2b"3208 name: "scale4b9_branch2b"3209 type: "Scale"3210 scale_param {3211 bias_term: true3212 }3213 }3214

3215 layer {3216 bottom: "res4b9_branch2b"3217 top: "res4b9_branch2b"3218 name: "res4b9_branch2b_relu"3219 type: "ReLU"3220 }3221

3222 layer {3223 bottom: "res4b9_branch2b"3224 top: "res4b9_branch2c"3225 name: "res4b9_branch2c"3226 type: "Convolution"3227 convolution_param {3228 num_output: 10243229 kernel_size: 13230 pad: 03231 stride: 13232 weight_filler {3233 type: "msra"3234 }3235 bias_term: false3236

3237 }3238 }3239

3240 layer {3241 bottom: "res4b9_branch2c"3242 top: "res4b9_branch2c"3243 name: "bn4b9_branch2c"3244 type: "BatchNorm"3245 batch_norm_param {3246 use_global_stats: false3247 }3248 }3249

3250 layer {3251 bottom: "res4b9_branch2c"3252 top: "res4b9_branch2c"3253 name: "scale4b9_branch2c"3254 type: "Scale"3255 scale_param {3256 bias_term: true3257 }3258 }3259

3260 layer {3261 bottom: "res4b8"3262 bottom: "res4b9_branch2c"3263 top: "res4b9"3264 name: "res4b9"3265 type: "Eltwise"3266 eltwise_param {3267 operation: SUM3268 }3269 }3270

3271 layer {3272 bottom: "res4b9"3273 top: "res4b9"3274 name: "res4b9_relu"3275 type: "ReLU"3276 }3277

3278 layer {3279 bottom: "res4b9"3280 top: "res4b10_branch2a"3281 name: "res4b10_branch2a"3282 type: "Convolution"3283 convolution_param {3284 num_output: 2563285 kernel_size: 13286 pad: 03287 stride: 13288 weight_filler {3289 type: "msra"3290 }3291 bias_term: false3292

3293 }3294 }3295

3296 layer {3297 bottom: "res4b10_branch2a"3298 top: "res4b10_branch2a"3299 name: "bn4b10_branch2a"3300 type: "BatchNorm"3301 batch_norm_param {3302 use_global_stats: false3303 }3304 }3305

3306 layer {3307 bottom: "res4b10_branch2a"3308 top: "res4b10_branch2a"3309 name: "scale4b10_branch2a"3310 type: "Scale"3311 scale_param {3312 bias_term: true3313 }3314 }3315

3316 layer {3317 bottom: "res4b10_branch2a"3318 top: "res4b10_branch2a"3319 name: "res4b10_branch2a_relu"3320 type: "ReLU"3321 }3322

3323 layer {3324 bottom: "res4b10_branch2a"3325 top: "res4b10_branch2b"3326 name: "res4b10_branch2b"3327 type: "Convolution"3328 convolution_param {3329 num_output: 2563330 kernel_size: 33331 pad: 13332 stride: 13333 weight_filler {3334 type: "msra"3335 }3336 bias_term: false3337

3338 }3339 }3340

3341 layer {3342 bottom: "res4b10_branch2b"3343 top: "res4b10_branch2b"3344 name: "bn4b10_branch2b"3345 type: "BatchNorm"3346 batch_norm_param {3347 use_global_stats: false3348 }3349 }3350

3351 layer {3352 bottom: "res4b10_branch2b"3353 top: "res4b10_branch2b"3354 name: "scale4b10_branch2b"3355 type: "Scale"3356 scale_param {3357 bias_term: true3358 }3359 }3360

3361 layer {3362 bottom: "res4b10_branch2b"3363 top: "res4b10_branch2b"3364 name: "res4b10_branch2b_relu"3365 type: "ReLU"3366 }3367

3368 layer {3369 bottom: "res4b10_branch2b"3370 top: "res4b10_branch2c"3371 name: "res4b10_branch2c"3372 type: "Convolution"3373 convolution_param {3374 num_output: 10243375 kernel_size: 13376 pad: 03377 stride: 13378 weight_filler {3379 type: "msra"3380 }3381 bias_term: false3382

3383 }3384 }3385

3386 layer {3387 bottom: "res4b10_branch2c"3388 top: "res4b10_branch2c"3389 name: "bn4b10_branch2c"3390 type: "BatchNorm"3391 batch_norm_param {3392 use_global_stats: false3393 }3394 }3395

3396 layer {3397 bottom: "res4b10_branch2c"3398 top: "res4b10_branch2c"3399 name: "scale4b10_branch2c"3400 type: "Scale"3401 scale_param {3402 bias_term: true3403 }3404 }3405

3406 layer {3407 bottom: "res4b9"3408 bottom: "res4b10_branch2c"3409 top: "res4b10"3410 name: "res4b10"3411 type: "Eltwise"3412 eltwise_param {3413 operation: SUM3414 }3415 }3416 3417 layer {3418 bottom: "res4b10"3419 top: "res4b10"3420 name: "res4b10_relu"3421 type: "ReLU"3422 }3423

3424 layer {3425 bottom: "res4b10"3426 top: "res4b11_branch2a"3427 name: "res4b11_branch2a"3428 type: "Convolution"3429 convolution_param {3430 num_output: 2563431 kernel_size: 13432 pad: 03433 stride: 13434 weight_filler {3435 type: "msra"3436 }3437 bias_term: false3438

3439 }3440 }3441

3442 layer {3443 bottom: "res4b11_branch2a"3444 top: "res4b11_branch2a"3445 name: "bn4b11_branch2a"3446 type: "BatchNorm"3447 batch_norm_param {3448 use_global_stats: false3449 }3450 }3451

3452 layer {3453 bottom: "res4b11_branch2a"3454 top: "res4b11_branch2a"3455 name: "scale4b11_branch2a"3456 type: "Scale"3457 scale_param {3458 bias_term: true3459 }3460 }3461

3462 layer {3463 bottom: "res4b11_branch2a"3464 top: "res4b11_branch2a"3465 name: "res4b11_branch2a_relu"3466 type: "ReLU"3467 }3468

3469 layer {3470 bottom: "res4b11_branch2a"3471 top: "res4b11_branch2b"3472 name: "res4b11_branch2b"3473 type: "Convolution"3474 convolution_param {3475 num_output: 2563476 kernel_size: 33477 pad: 13478 stride: 13479 weight_filler {3480 type: "msra"3481 }3482 bias_term: false3483

3484 }3485 }3486

3487 layer {3488 bottom: "res4b11_branch2b"3489 top: "res4b11_branch2b"3490 name: "bn4b11_branch2b"3491 type: "BatchNorm"3492 batch_norm_param {3493 use_global_stats: false3494 }3495 }3496

3497 layer {3498 bottom: "res4b11_branch2b"3499 top: "res4b11_branch2b"3500 name: "scale4b11_branch2b"3501 type: "Scale"3502 scale_param {3503 bias_term: true3504 }3505 }3506

3507 layer {3508 bottom: "res4b11_branch2b"3509 top: "res4b11_branch2b"3510 name: "res4b11_branch2b_relu"3511 type: "ReLU"3512 }3513

3514 layer {3515 bottom: "res4b11_branch2b"3516 top: "res4b11_branch2c"3517 name: "res4b11_branch2c"3518 type: "Convolution"3519 convolution_param {3520 num_output: 10243521 kernel_size: 13522 pad: 03523 stride: 13524 weight_filler {3525 type: "msra"3526 }3527 bias_term: false3528

3529 }3530 }3531

3532 layer {3533 bottom: "res4b11_branch2c"3534 top: "res4b11_branch2c"3535 name: "bn4b11_branch2c"3536 type: "BatchNorm"3537 batch_norm_param {3538 use_global_stats: false3539 }3540 }3541

3542 layer {3543 bottom: "res4b11_branch2c"3544 top: "res4b11_branch2c"3545 name: "scale4b11_branch2c"3546 type: "Scale"3547 scale_param {3548 bias_term: true3549 }3550 }3551

3552 layer {3553 bottom: "res4b10"3554 bottom: "res4b11_branch2c"3555 top: "res4b11"3556 name: "res4b11"3557 type: "Eltwise"3558 eltwise_param {3559 operation: SUM3560 }3561 }3562

3563 layer {3564 bottom: "res4b11"3565 top: "res4b11"3566 name: "res4b11_relu"3567 type: "ReLU"3568 }3569

3570 layer {3571 bottom: "res4b11"3572 top: "res4b12_branch2a"3573 name: "res4b12_branch2a"3574 type: "Convolution"3575 convolution_param {3576 num_output: 2563577 kernel_size: 13578 pad: 03579 stride: 13580 weight_filler {3581 type: "msra"3582 }3583 bias_term: false3584

3585 }3586 }3587

3588 layer {3589 bottom: "res4b12_branch2a"3590 top: "res4b12_branch2a"3591 name: "bn4b12_branch2a"3592 type: "BatchNorm"3593 batch_norm_param {3594 use_global_stats: false3595 }3596 }3597

3598 layer {3599 bottom: "res4b12_branch2a"3600 top: "res4b12_branch2a"3601 name: "scale4b12_branch2a"3602 type: "Scale"3603 scale_param {3604 bias_term: true3605 }3606 }3607

3608 layer {3609 bottom: "res4b12_branch2a"3610 top: "res4b12_branch2a"3611 name: "res4b12_branch2a_relu"3612 type: "ReLU"3613 }3614

3615 layer {3616 bottom: "res4b12_branch2a"3617 top: "res4b12_branch2b"3618 name: "res4b12_branch2b"3619 type: "Convolution"3620 convolution_param {3621 num_output: 2563622 kernel_size: 33623 pad: 13624 stride: 13625 weight_filler {3626 type: "msra"3627 }3628 bias_term: false3629

3630 }3631 }3632

3633 layer {3634 bottom: "res4b12_branch2b"3635 top: "res4b12_branch2b"3636 name: "bn4b12_branch2b"3637 type: "BatchNorm"3638 batch_norm_param {3639 use_global_stats: false3640 }3641 }3642

3643 layer {3644 bottom: "res4b12_branch2b"3645 top: "res4b12_branch2b"3646 name: "scale4b12_branch2b"3647 type: "Scale"3648 scale_param {3649 bias_term: true3650 }3651 }3652

3653 layer {3654 bottom: "res4b12_branch2b"3655 top: "res4b12_branch2b"3656 name: "res4b12_branch2b_relu"3657 type: "ReLU"3658 }3659

3660 layer {3661 bottom: "res4b12_branch2b"3662 top: "res4b12_branch2c"3663 name: "res4b12_branch2c"3664 type: "Convolution"3665 convolution_param {3666 num_output: 10243667 kernel_size: 13668 pad: 03669 stride: 13670 weight_filler {3671 type: "msra"3672 }3673 bias_term: false3674

3675 }3676 }3677

3678 layer {3679 bottom: "res4b12_branch2c"3680 top: "res4b12_branch2c"3681 name: "bn4b12_branch2c"3682 type: "BatchNorm"3683 batch_norm_param {3684 use_global_stats: false3685 }3686 }3687

3688 layer {3689 bottom: "res4b12_branch2c"3690 top: "res4b12_branch2c"3691 name: "scale4b12_branch2c"3692 type: "Scale"3693 scale_param {3694 bias_term: true3695 }3696 }3697

3698 layer {3699 bottom: "res4b11"3700 bottom: "res4b12_branch2c"3701 top: "res4b12"3702 name: "res4b12"3703 type: "Eltwise"3704 eltwise_param {3705 operation: SUM3706 }3707 }3708

3709 layer {3710 bottom: "res4b12"3711 top: "res4b12"3712 name: "res4b12_relu"3713 type: "ReLU"3714 }3715

3716 layer {3717 bottom: "res4b12"3718 top: "res4b13_branch2a"3719 name: "res4b13_branch2a"3720 type: "Convolution"3721 convolution_param {3722 num_output: 2563723 kernel_size: 13724 pad: 03725 stride: 13726 weight_filler {3727 type: "msra"3728 }3729 bias_term: false3730

3731 }3732 }3733

3734 layer {3735 bottom: "res4b13_branch2a"3736 top: "res4b13_branch2a"3737 name: "bn4b13_branch2a"3738 type: "BatchNorm"3739 batch_norm_param {3740 use_global_stats: false3741 }3742 }3743

3744 layer {3745 bottom: "res4b13_branch2a"3746 top: "res4b13_branch2a"3747 name: "scale4b13_branch2a"3748 type: "Scale"3749 scale_param {3750 bias_term: true3751 }3752 }3753

3754 layer {3755 bottom: "res4b13_branch2a"3756 top: "res4b13_branch2a"3757 name: "res4b13_branch2a_relu"3758 type: "ReLU"3759 }3760

3761 layer {3762 bottom: "res4b13_branch2a"3763 top: "res4b13_branch2b"3764 name: "res4b13_branch2b"3765 type: "Convolution"3766 convolution_param {3767 num_output: 2563768 kernel_size: 33769 pad: 13770 stride: 13771 weight_filler {3772 type: "msra"3773 }3774 bias_term: false3775

3776 }3777 }3778

3779 layer {3780 bottom: "res4b13_branch2b"3781 top: "res4b13_branch2b"3782 name: "bn4b13_branch2b"3783 type: "BatchNorm"3784 batch_norm_param {3785 use_global_stats: false3786 }3787 }3788

3789 layer {3790 bottom: "res4b13_branch2b"3791 top: "res4b13_branch2b"3792 name: "scale4b13_branch2b"3793 type: "Scale"3794 scale_param {3795 bias_term: true3796 }3797 }3798

3799 layer {3800 bottom: "res4b13_branch2b"3801 top: "res4b13_branch2b"3802 name: "res4b13_branch2b_relu"3803 type: "ReLU"3804 }3805

3806 layer {3807 bottom: "res4b13_branch2b"3808 top: "res4b13_branch2c"3809 name: "res4b13_branch2c"3810 type: "Convolution"3811 convolution_param {3812 num_output: 10243813 kernel_size: 13814 pad: 03815 stride: 13816 weight_filler {3817 type: "msra"3818 }3819 bias_term: false3820

3821 }3822 }3823

3824 layer {3825 bottom: "res4b13_branch2c"3826 top: "res4b13_branch2c"3827 name: "bn4b13_branch2c"3828 type: "BatchNorm"3829 batch_norm_param {3830 use_global_stats: false3831 }3832 }3833

3834 layer {3835 bottom: "res4b13_branch2c"3836 top: "res4b13_branch2c"3837 name: "scale4b13_branch2c"3838 type: "Scale"3839 scale_param {3840 bias_term: true3841 }3842 }3843

3844 layer {3845 bottom: "res4b12"3846 bottom: "res4b13_branch2c"3847 top: "res4b13"3848 name: "res4b13"3849 type: "Eltwise"3850 eltwise_param {3851 operation: SUM3852 }3853 }3854

3855 layer {3856 bottom: "res4b13"3857 top: "res4b13"3858 name: "res4b13_relu"3859 type: "ReLU"3860 }3861

3862 layer {3863 bottom: "res4b13"3864 top: "res4b14_branch2a"3865 name: "res4b14_branch2a"3866 type: "Convolution"3867 convolution_param {3868 num_output: 2563869 kernel_size: 13870 pad: 03871 stride: 13872 weight_filler {3873 type: "msra"3874 }3875 bias_term: false3876

3877 }3878 }3879

3880 layer {3881 bottom: "res4b14_branch2a"3882 top: "res4b14_branch2a"3883 name: "bn4b14_branch2a"3884 type: "BatchNorm"3885 batch_norm_param {3886 use_global_stats: false3887 }3888 }3889

3890 layer {3891 bottom: "res4b14_branch2a"3892 top: "res4b14_branch2a"3893 name: "scale4b14_branch2a"3894 type: "Scale"3895 scale_param {3896 bias_term: true3897 }3898 }3899

3900 layer {3901 bottom: "res4b14_branch2a"3902 top: "res4b14_branch2a"3903 name: "res4b14_branch2a_relu"3904 type: "ReLU"3905 }3906

3907 layer {3908 bottom: "res4b14_branch2a"3909 top: "res4b14_branch2b"3910 name: "res4b14_branch2b"3911 type: "Convolution"3912 convolution_param {3913 num_output: 2563914 kernel_size: 33915 pad: 13916 stride: 13917 weight_filler {3918 type: "msra"3919 }3920 bias_term: false3921

3922 }3923 }3924

3925 layer {3926 bottom: "res4b14_branch2b"3927 top: "res4b14_branch2b"3928 name: "bn4b14_branch2b"3929 type: "BatchNorm"3930 batch_norm_param {3931 use_global_stats: false3932 }3933 }3934

3935 layer {3936 bottom: "res4b14_branch2b"3937 top: "res4b14_branch2b"3938 name: "scale4b14_branch2b"3939 type: "Scale"3940 scale_param {3941 bias_term: true3942 }3943 }3944

3945 layer {3946 bottom: "res4b14_branch2b"3947 top: "res4b14_branch2b"3948 name: "res4b14_branch2b_relu"3949 type: "ReLU"3950 }3951

3952 layer {3953 bottom: "res4b14_branch2b"3954 top: "res4b14_branch2c"3955 name: "res4b14_branch2c"3956 type: "Convolution"3957 convolution_param {3958 num_output: 10243959 kernel_size: 13960 pad: 03961 stride: 13962 weight_filler {3963 type: "msra"3964 }3965 bias_term: false3966

3967 }3968 }3969

3970 layer {3971 bottom: "res4b14_branch2c"3972 top: "res4b14_branch2c"3973 name: "bn4b14_branch2c"3974 type: "BatchNorm"3975 batch_norm_param {3976 use_global_stats: false3977 }3978 }3979

3980 layer {3981 bottom: "res4b14_branch2c"3982 top: "res4b14_branch2c"3983 name: "scale4b14_branch2c"3984 type: "Scale"3985 scale_param {3986 bias_term: true3987 }3988 }3989

3990 layer {3991 bottom: "res4b13"3992 bottom: "res4b14_branch2c"3993 top: "res4b14"3994 name: "res4b14"3995 type: "Eltwise"3996 eltwise_param {3997 operation: SUM3998 }3999 }4000

4001 layer {4002 bottom: "res4b14"4003 top: "res4b14"4004 name: "res4b14_relu"4005 type: "ReLU"4006 }4007

4008 layer {4009 bottom: "res4b14"4010 top: "res4b15_branch2a"4011 name: "res4b15_branch2a"4012 type: "Convolution"4013 convolution_param {4014 num_output: 2564015 kernel_size: 14016 pad: 04017 stride: 14018 weight_filler {4019 type: "msra"4020 }4021 bias_term: false4022

4023 }4024 }4025

4026 layer {4027 bottom: "res4b15_branch2a"4028 top: "res4b15_branch2a"4029 name: "bn4b15_branch2a"4030 type: "BatchNorm"4031 batch_norm_param {4032 use_global_stats: false4033 }4034 }4035

4036 layer {4037 bottom: "res4b15_branch2a"4038 top: "res4b15_branch2a"4039 name: "scale4b15_branch2a"4040 type: "Scale"4041 scale_param {4042 bias_term: true4043 }4044 }4045

4046 layer {4047 bottom: "res4b15_branch2a"4048 top: "res4b15_branch2a"4049 name: "res4b15_branch2a_relu"4050 type: "ReLU"4051 }4052

4053 layer {4054 bottom: "res4b15_branch2a"4055 top: "res4b15_branch2b"4056 name: "res4b15_branch2b"4057 type: "Convolution"4058 convolution_param {4059 num_output: 2564060 kernel_size: 34061 pad: 14062 stride: 14063 weight_filler {4064 type: "msra"4065 }4066 bias_term: false4067

4068 }4069 }4070

4071 layer {4072 bottom: "res4b15_branch2b"4073 top: "res4b15_branch2b"4074 name: "bn4b15_branch2b"4075 type: "BatchNorm"4076 batch_norm_param {4077 use_global_stats: false4078 }4079 }4080

4081 layer {4082 bottom: "res4b15_branch2b"4083 top: "res4b15_branch2b"4084 name: "scale4b15_branch2b"4085 type: "Scale"4086 scale_param {4087 bias_term: true4088 }4089 }4090

4091 layer {4092 bottom: "res4b15_branch2b"4093 top: "res4b15_branch2b"4094 name: "res4b15_branch2b_relu"4095 type: "ReLU"4096 }4097

4098 layer {4099 bottom: "res4b15_branch2b"4100 top: "res4b15_branch2c"4101 name: "res4b15_branch2c"4102 type: "Convolution"4103 convolution_param {4104 num_output: 10244105 kernel_size: 14106 pad: 04107 stride: 14108 weight_filler {4109 type: "msra"4110 }4111 bias_term: false4112

4113 }4114 }4115

4116 layer {4117 bottom: "res4b15_branch2c"4118 top: "res4b15_branch2c"4119 name: "bn4b15_branch2c"4120 type: "BatchNorm"4121 batch_norm_param {4122 use_global_stats: false4123 }4124 }4125

4126 layer {4127 bottom: "res4b15_branch2c"4128 top: "res4b15_branch2c"4129 name: "scale4b15_branch2c"4130 type: "Scale"4131 scale_param {4132 bias_term: true4133 }4134 }4135

4136 layer {4137 bottom: "res4b14"4138 bottom: "res4b15_branch2c"4139 top: "res4b15"4140 name: "res4b15"4141 type: "Eltwise"4142 eltwise_param {4143 operation: SUM4144 }4145 }4146

4147 layer {4148 bottom: "res4b15"4149 top: "res4b15"4150 name: "res4b15_relu"4151 type: "ReLU"4152 }4153

4154 layer {4155 bottom: "res4b15"4156 top: "res4b16_branch2a"4157 name: "res4b16_branch2a"4158 type: "Convolution"4159 convolution_param {4160 num_output: 2564161 kernel_size: 14162 pad: 04163 stride: 14164 weight_filler {4165 type: "msra"4166 }4167 bias_term: false4168

4169 }4170 }4171

4172 layer {4173 bottom: "res4b16_branch2a"4174 top: "res4b16_branch2a"4175 name: "bn4b16_branch2a"4176 type: "BatchNorm"4177 batch_norm_param {4178 use_global_stats: false4179 }4180 }4181

4182 layer {4183 bottom: "res4b16_branch2a"4184 top: "res4b16_branch2a"4185 name: "scale4b16_branch2a"4186 type: "Scale"4187 scale_param {4188 bias_term: true4189 }4190 }4191

4192 layer {4193 bottom: "res4b16_branch2a"4194 top: "res4b16_branch2a"4195 name: "res4b16_branch2a_relu"4196 type: "ReLU"4197 }4198

4199 layer {4200 bottom: "res4b16_branch2a"4201 top: "res4b16_branch2b"4202 name: "res4b16_branch2b"4203 type: "Convolution"4204 convolution_param {4205 num_output: 2564206 kernel_size: 34207 pad: 14208 stride: 14209 weight_filler {4210 type: "msra"4211 }4212 bias_term: false4213

4214 }4215 }4216

4217 layer {4218 bottom: "res4b16_branch2b"4219 top: "res4b16_branch2b"4220 name: "bn4b16_branch2b"4221 type: "BatchNorm"4222 batch_norm_param {4223 use_global_stats: false4224 }4225 }4226

4227 layer {4228 bottom: "res4b16_branch2b"4229 top: "res4b16_branch2b"4230 name: "scale4b16_branch2b"4231 type: "Scale"4232 scale_param {4233 bias_term: true4234 }4235 }4236

4237 layer {4238 bottom: "res4b16_branch2b"4239 top: "res4b16_branch2b"4240 name: "res4b16_branch2b_relu"4241 type: "ReLU"4242 }4243

4244 layer {4245 bottom: "res4b16_branch2b"4246 top: "res4b16_branch2c"4247 name: "res4b16_branch2c"4248 type: "Convolution"4249 convolution_param {4250 num_output: 10244251 kernel_size: 14252 pad: 04253 stride: 14254 weight_filler {4255 type: "msra"4256 }4257 bias_term: false4258

4259 }4260 }4261

4262 layer {4263 bottom: "res4b16_branch2c"4264 top: "res4b16_branch2c"4265 name: "bn4b16_branch2c"4266 type: "BatchNorm"4267 batch_norm_param {4268 use_global_stats: false4269 }4270 }4271

4272 layer {4273 bottom: "res4b16_branch2c"4274 top: "res4b16_branch2c"4275 name: "scale4b16_branch2c"4276 type: "Scale"4277 scale_param {4278 bias_term: true4279 }4280 }4281

4282 layer {4283 bottom: "res4b15"4284 bottom: "res4b16_branch2c"4285 top: "res4b16"4286 name: "res4b16"4287 type: "Eltwise"4288 eltwise_param {4289 operation: SUM4290 }4291 }4292

4293 layer {4294 bottom: "res4b16"4295 top: "res4b16"4296 name: "res4b16_relu"4297 type: "ReLU"4298 }4299

4300 layer {4301 bottom: "res4b16"4302 top: "res4b17_branch2a"4303 name: "res4b17_branch2a"4304 type: "Convolution"4305 convolution_param {4306 num_output: 2564307 kernel_size: 14308 pad: 04309 stride: 14310 weight_filler {4311 type: "msra"4312 }4313 bias_term: false4314

4315 }4316 }4317

4318 layer {4319 bottom: "res4b17_branch2a"4320 top: "res4b17_branch2a"4321 name: "bn4b17_branch2a"4322 type: "BatchNorm"4323 batch_norm_param {4324 use_global_stats: false4325 }4326 }4327

4328 layer {4329 bottom: "res4b17_branch2a"4330 top: "res4b17_branch2a"4331 name: "scale4b17_branch2a"4332 type: "Scale"4333 scale_param {4334 bias_term: true4335 }4336 }4337

4338 layer {4339 bottom: "res4b17_branch2a"4340 top: "res4b17_branch2a"4341 name: "res4b17_branch2a_relu"4342 type: "ReLU"4343 }4344

4345 layer {4346 bottom: "res4b17_branch2a"4347 top: "res4b17_branch2b"4348 name: "res4b17_branch2b"4349 type: "Convolution"4350 convolution_param {4351 num_output: 2564352 kernel_size: 34353 pad: 14354 stride: 14355 weight_filler {4356 type: "msra"4357 }4358 bias_term: false4359

4360 }4361 }4362

4363 layer {4364 bottom: "res4b17_branch2b"4365 top: "res4b17_branch2b"4366 name: "bn4b17_branch2b"4367 type: "BatchNorm"4368 batch_norm_param {4369 use_global_stats: false4370 }4371 }4372

4373 layer {4374 bottom: "res4b17_branch2b"4375 top: "res4b17_branch2b"4376 name: "scale4b17_branch2b"4377 type: "Scale"4378 scale_param {4379 bias_term: true4380 }4381 }4382

4383 layer {4384 bottom: "res4b17_branch2b"4385 top: "res4b17_branch2b"4386 name: "res4b17_branch2b_relu"4387 type: "ReLU"4388 }4389

4390 layer {4391 bottom: "res4b17_branch2b"4392 top: "res4b17_branch2c"4393 name: "res4b17_branch2c"4394 type: "Convolution"4395 convolution_param {4396 num_output: 10244397 kernel_size: 14398 pad: 04399 stride: 14400 weight_filler {4401 type: "msra"4402 }4403 bias_term: false4404

4405 }4406 }4407

4408 layer {4409 bottom: "res4b17_branch2c"4410 top: "res4b17_branch2c"4411 name: "bn4b17_branch2c"4412 type: "BatchNorm"4413 batch_norm_param {4414 use_global_stats: false4415 }4416 }4417

4418 layer {4419 bottom: "res4b17_branch2c"4420 top: "res4b17_branch2c"4421 name: "scale4b17_branch2c"4422 type: "Scale"4423 scale_param {4424 bias_term: true4425 }4426 }4427

4428 layer {4429 bottom: "res4b16"4430 bottom: "res4b17_branch2c"4431 top: "res4b17"4432 name: "res4b17"4433 type: "Eltwise"4434 eltwise_param {4435 operation: SUM4436 }4437 }4438

4439 layer {4440 bottom: "res4b17"4441 top: "res4b17"4442 name: "res4b17_relu"4443 type: "ReLU"4444 }4445

4446 layer {4447 bottom: "res4b17"4448 top: "res4b18_branch2a"4449 name: "res4b18_branch2a"4450 type: "Convolution"4451 convolution_param {4452 num_output: 2564453 kernel_size: 14454 pad: 04455 stride: 14456 weight_filler {4457 type: "msra"4458 }4459 bias_term: false4460

4461 }4462 }4463

4464 layer {4465 bottom: "res4b18_branch2a"4466 top: "res4b18_branch2a"4467 name: "bn4b18_branch2a"4468 type: "BatchNorm"4469 batch_norm_param {4470 use_global_stats: false4471 }4472 }4473

4474 layer {4475 bottom: "res4b18_branch2a"4476 top: "res4b18_branch2a"4477 name: "scale4b18_branch2a"4478 type: "Scale"4479 scale_param {4480 bias_term: true4481 }4482 }4483

4484 layer {4485 bottom: "res4b18_branch2a"4486 top: "res4b18_branch2a"4487 name: "res4b18_branch2a_relu"4488 type: "ReLU"4489 }4490

4491 layer {4492 bottom: "res4b18_branch2a"4493 top: "res4b18_branch2b"4494 name: "res4b18_branch2b"4495 type: "Convolution"4496 convolution_param {4497 num_output: 2564498 kernel_size: 34499 pad: 14500 stride: 14501 weight_filler {4502 type: "msra"4503 }4504 bias_term: false4505

4506 }4507 }4508

4509 layer {4510 bottom: "res4b18_branch2b"4511 top: "res4b18_branch2b"4512 name: "bn4b18_branch2b"4513 type: "BatchNorm"4514 batch_norm_param {4515 use_global_stats: false4516 }4517 }4518

4519 layer {4520 bottom: "res4b18_branch2b"4521 top: "res4b18_branch2b"4522 name: "scale4b18_branch2b"4523 type: "Scale"4524 scale_param {4525 bias_term: true4526 }4527 }4528

4529 layer {4530 bottom: "res4b18_branch2b"4531 top: "res4b18_branch2b"4532 name: "res4b18_branch2b_relu"4533 type: "ReLU"4534 }4535

4536 layer {4537 bottom: "res4b18_branch2b"4538 top: "res4b18_branch2c"4539 name: "res4b18_branch2c"4540 type: "Convolution"4541 convolution_param {4542 num_output: 10244543 kernel_size: 14544 pad: 04545 stride: 14546 weight_filler {4547 type: "msra"4548 }4549 bias_term: false4550

4551 }4552 }4553

4554 layer {4555 bottom: "res4b18_branch2c"4556 top: "res4b18_branch2c"4557 name: "bn4b18_branch2c"4558 type: "BatchNorm"4559 batch_norm_param {4560 use_global_stats: false4561 }4562 }4563

4564 layer {4565 bottom: "res4b18_branch2c"4566 top: "res4b18_branch2c"4567 name: "scale4b18_branch2c"4568 type: "Scale"4569 scale_param {4570 bias_term: true4571 }4572 }4573

4574 layer {4575 bottom: "res4b17"4576 bottom: "res4b18_branch2c"4577 top: "res4b18"4578 name: "res4b18"4579 type: "Eltwise"4580 eltwise_param {4581 operation: SUM4582 }4583 }4584

4585 layer {4586 bottom: "res4b18"4587 top: "res4b18"4588 name: "res4b18_relu"4589 type: "ReLU"4590 }4591

4592 layer {4593 bottom: "res4b18"4594 top: "res4b19_branch2a"4595 name: "res4b19_branch2a"4596 type: "Convolution"4597 convolution_param {4598 num_output: 2564599 kernel_size: 14600 pad: 04601 stride: 14602 weight_filler {4603 type: "msra"4604 }4605 bias_term: false4606

4607 }4608 }4609

4610 layer {4611 bottom: "res4b19_branch2a"4612 top: "res4b19_branch2a"4613 name: "bn4b19_branch2a"4614 type: "BatchNorm"4615 batch_norm_param {4616 use_global_stats: false4617 }4618 }4619

4620 layer {4621 bottom: "res4b19_branch2a"4622 top: "res4b19_branch2a"4623 name: "scale4b19_branch2a"4624 type: "Scale"4625 scale_param {4626 bias_term: true4627 }4628 }4629

4630 layer {4631 bottom: "res4b19_branch2a"4632 top: "res4b19_branch2a"4633 name: "res4b19_branch2a_relu"4634 type: "ReLU"4635 }4636

4637 layer {4638 bottom: "res4b19_branch2a"4639 top: "res4b19_branch2b"4640 name: "res4b19_branch2b"4641 type: "Convolution"4642 convolution_param {4643 num_output: 2564644 kernel_size: 34645 pad: 14646 stride: 14647 weight_filler {4648 type: "msra"4649 }4650 bias_term: false4651

4652 }4653 }4654

4655 layer {4656 bottom: "res4b19_branch2b"4657 top: "res4b19_branch2b"4658 name: "bn4b19_branch2b"4659 type: "BatchNorm"4660 batch_norm_param {4661 use_global_stats: false4662 }4663 }4664

4665 layer {4666 bottom: "res4b19_branch2b"4667 top: "res4b19_branch2b"4668 name: "scale4b19_branch2b"4669 type: "Scale"4670 scale_param {4671 bias_term: true4672 }4673 }4674

4675 layer {4676 bottom: "res4b19_branch2b"4677 top: "res4b19_branch2b"4678 name: "res4b19_branch2b_relu"4679 type: "ReLU"4680 }4681

4682 layer {4683 bottom: "res4b19_branch2b"4684 top: "res4b19_branch2c"4685 name: "res4b19_branch2c"4686 type: "Convolution"4687 convolution_param {4688 num_output: 10244689 kernel_size: 14690 pad: 04691 stride: 14692 weight_filler {4693 type: "msra"4694 }4695 bias_term: false4696

4697 }4698 }4699

4700 layer {4701 bottom: "res4b19_branch2c"4702 top: "res4b19_branch2c"4703 name: "bn4b19_branch2c"4704 type: "BatchNorm"4705 batch_norm_param {4706 use_global_stats: false4707 }4708 }4709

4710 layer {4711 bottom: "res4b19_branch2c"4712 top: "res4b19_branch2c"4713 name: "scale4b19_branch2c"4714 type: "Scale"4715 scale_param {4716 bias_term: true4717 }4718 }4719

4720 layer {4721 bottom: "res4b18"4722 bottom: "res4b19_branch2c"4723 top: "res4b19"4724 name: "res4b19"4725 type: "Eltwise"4726 eltwise_param {4727 operation: SUM4728 }4729 }4730

4731 layer {4732 bottom: "res4b19"4733 top: "res4b19"4734 name: "res4b19_relu"4735 type: "ReLU"4736 }4737

4738 layer {4739 bottom: "res4b19"4740 top: "res4b20_branch2a"4741 name: "res4b20_branch2a"4742 type: "Convolution"4743 convolution_param {4744 num_output: 2564745 kernel_size: 14746 pad: 04747 stride: 14748 weight_filler {4749 type: "msra"4750 }4751 bias_term: false4752

4753 }4754 }4755

4756 layer {4757 bottom: "res4b20_branch2a"4758 top: "res4b20_branch2a"4759 name: "bn4b20_branch2a"4760 type: "BatchNorm"4761 batch_norm_param {4762 use_global_stats: false4763 }4764 }4765

4766 layer {4767 bottom: "res4b20_branch2a"4768 top: "res4b20_branch2a"4769 name: "scale4b20_branch2a"4770 type: "Scale"4771 scale_param {4772 bias_term: true4773 }4774 }4775

4776 layer {4777 bottom: "res4b20_branch2a"4778 top: "res4b20_branch2a"4779 name: "res4b20_branch2a_relu"4780 type: "ReLU"4781 }4782

4783 layer {4784 bottom: "res4b20_branch2a"4785 top: "res4b20_branch2b"4786 name: "res4b20_branch2b"4787 type: "Convolution"4788 convolution_param {4789 num_output: 2564790 kernel_size: 34791 pad: 14792 stride: 14793 weight_filler {4794 type: "msra"4795 }4796 bias_term: false4797

4798 }4799 }4800

4801 layer {4802 bottom: "res4b20_branch2b"4803 top: "res4b20_branch2b"4804 name: "bn4b20_branch2b"4805 type: "BatchNorm"4806 batch_norm_param {4807 use_global_stats: false4808 }4809 }4810

4811 layer {4812 bottom: "res4b20_branch2b"4813 top: "res4b20_branch2b"4814 name: "scale4b20_branch2b"4815 type: "Scale"4816 scale_param {4817 bias_term: true4818 }4819 }4820

4821 layer {4822 bottom: "res4b20_branch2b"4823 top: "res4b20_branch2b"4824 name: "res4b20_branch2b_relu"4825 type: "ReLU"4826 }4827

4828 layer {4829 bottom: "res4b20_branch2b"4830 top: "res4b20_branch2c"4831 name: "res4b20_branch2c"4832 type: "Convolution"4833 convolution_param {4834 num_output: 10244835 kernel_size: 14836 pad: 04837 stride: 14838 weight_filler {4839 type: "msra"4840 }4841 bias_term: false4842

4843 }4844 }4845

4846 layer {4847 bottom: "res4b20_branch2c"4848 top: "res4b20_branch2c"4849 name: "bn4b20_branch2c"4850 type: "BatchNorm"4851 batch_norm_param {4852 use_global_stats: false4853 }4854 }4855

4856 layer {4857 bottom: "res4b20_branch2c"4858 top: "res4b20_branch2c"4859 name: "scale4b20_branch2c"4860 type: "Scale"4861 scale_param {4862 bias_term: true4863 }4864 }4865

4866 layer {4867 bottom: "res4b19"4868 bottom: "res4b20_branch2c"4869 top: "res4b20"4870 name: "res4b20"4871 type: "Eltwise"4872 eltwise_param {4873 operation: SUM4874 }4875 }4876

4877 layer {4878 bottom: "res4b20"4879 top: "res4b20"4880 name: "res4b20_relu"4881 type: "ReLU"4882 }4883

4884 layer {4885 bottom: "res4b20"4886 top: "res4b21_branch2a"4887 name: "res4b21_branch2a"4888 type: "Convolution"4889 convolution_param {4890 num_output: 2564891 kernel_size: 14892 pad: 04893 stride: 14894 weight_filler {4895 type: "msra"4896 }4897 bias_term: false4898

4899 }4900 }4901

4902 layer {4903 bottom: "res4b21_branch2a"4904 top: "res4b21_branch2a"4905 name: "bn4b21_branch2a"4906 type: "BatchNorm"4907 batch_norm_param {4908 use_global_stats: false4909 }4910 }4911

4912 layer {4913 bottom: "res4b21_branch2a"4914 top: "res4b21_branch2a"4915 name: "scale4b21_branch2a"4916 type: "Scale"4917 scale_param {4918 bias_term: true4919 }4920 }4921

4922 layer {4923 bottom: "res4b21_branch2a"4924 top: "res4b21_branch2a"4925 name: "res4b21_branch2a_relu"4926 type: "ReLU"4927 }4928

4929 layer {4930 bottom: "res4b21_branch2a"4931 top: "res4b21_branch2b"4932 name: "res4b21_branch2b"4933 type: "Convolution"4934 convolution_param {4935 num_output: 2564936 kernel_size: 34937 pad: 14938 stride: 14939 weight_filler {4940 type: "msra"4941 }4942 bias_term: false4943

4944 }4945 }4946

4947 layer {4948 bottom: "res4b21_branch2b"4949 top: "res4b21_branch2b"4950 name: "bn4b21_branch2b"4951 type: "BatchNorm"4952 batch_norm_param {4953 use_global_stats: false4954 }4955 }4956

4957 layer {4958 bottom: "res4b21_branch2b"4959 top: "res4b21_branch2b"4960 name: "scale4b21_branch2b"4961 type: "Scale"4962 scale_param {4963 bias_term: true4964 }4965 }4966

4967 layer {4968 bottom: "res4b21_branch2b"4969 top: "res4b21_branch2b"4970 name: "res4b21_branch2b_relu"4971 type: "ReLU"4972 }4973

4974 layer {4975 bottom: "res4b21_branch2b"4976 top: "res4b21_branch2c"4977 name: "res4b21_branch2c"4978 type: "Convolution"4979 convolution_param {4980 num_output: 10244981 kernel_size: 14982 pad: 04983 stride: 14984 weight_filler {4985 type: "msra"4986 }4987 bias_term: false4988

4989 }4990 }4991

4992 layer {4993 bottom: "res4b21_branch2c"4994 top: "res4b21_branch2c"4995 name: "bn4b21_branch2c"4996 type: "BatchNorm"4997 batch_norm_param {4998 use_global_stats: false4999 }5000 }5001

5002 layer {5003 bottom: "res4b21_branch2c"5004 top: "res4b21_branch2c"5005 name: "scale4b21_branch2c"5006 type: "Scale"5007 scale_param {5008 bias_term: true5009 }5010 }5011

5012 layer {5013 bottom: "res4b20"5014 bottom: "res4b21_branch2c"5015 top: "res4b21"5016 name: "res4b21"5017 type: "Eltwise"5018 eltwise_param {5019 operation: SUM5020 }5021 }5022

5023 layer {5024 bottom: "res4b21"5025 top: "res4b21"5026 name: "res4b21_relu"5027 type: "ReLU"5028 }5029

5030 layer {5031 bottom: "res4b21"5032 top: "res4b22_branch2a"5033 name: "res4b22_branch2a"5034 type: "Convolution"5035 convolution_param {5036 num_output: 2565037 kernel_size: 15038 pad: 05039 stride: 15040 weight_filler {5041 type: "msra"5042 }5043 bias_term: false5044

5045 }5046 }5047

5048 layer {5049 bottom: "res4b22_branch2a"5050 top: "res4b22_branch2a"5051 name: "bn4b22_branch2a"5052 type: "BatchNorm"5053 batch_norm_param {5054 use_global_stats: false5055 }5056 }5057

5058 layer {5059 bottom: "res4b22_branch2a"5060 top: "res4b22_branch2a"5061 name: "scale4b22_branch2a"5062 type: "Scale"5063 scale_param {5064 bias_term: true5065 }5066 }5067

5068 layer {5069 bottom: "res4b22_branch2a"5070 top: "res4b22_branch2a"5071 name: "res4b22_branch2a_relu"5072 type: "ReLU"5073 }5074

5075 layer {5076 bottom: "res4b22_branch2a"5077 top: "res4b22_branch2b"5078 name: "res4b22_branch2b"5079 type: "Convolution"5080 convolution_param {5081 num_output: 2565082 kernel_size: 35083 pad: 15084 stride: 15085 weight_filler {5086 type: "msra"5087 }5088 bias_term: false5089

5090 }5091 }5092

5093 layer {5094 bottom: "res4b22_branch2b"5095 top: "res4b22_branch2b"5096 name: "bn4b22_branch2b"5097 type: "BatchNorm"5098 batch_norm_param {5099 use_global_stats: false5100 }5101 }5102

5103 layer {5104 bottom: "res4b22_branch2b"5105 top: "res4b22_branch2b"5106 name: "scale4b22_branch2b"5107 type: "Scale"5108 scale_param {5109 bias_term: true5110 }5111 }5112

5113 layer {5114 bottom: "res4b22_branch2b"5115 top: "res4b22_branch2b"5116 name: "res4b22_branch2b_relu"5117 type: "ReLU"5118 }5119

5120 layer {5121 bottom: "res4b22_branch2b"5122 top: "res4b22_branch2c"5123 name: "res4b22_branch2c"5124 type: "Convolution"5125 convolution_param {5126 num_output: 10245127 kernel_size: 15128 pad: 05129 stride: 15130 weight_filler {5131 type: "msra"5132 }5133 bias_term: false5134

5135 }5136 }5137

5138 layer {5139 bottom: "res4b22_branch2c"5140 top: "res4b22_branch2c"5141 name: "bn4b22_branch2c"5142 type: "BatchNorm"5143 batch_norm_param {5144 use_global_stats: false5145 }5146 }5147

5148 layer {5149 bottom: "res4b22_branch2c"5150 top: "res4b22_branch2c"5151 name: "scale4b22_branch2c"5152 type: "Scale"5153 scale_param {5154 bias_term: true5155 }5156 }5157

5158 layer {5159 bottom: "res4b21"5160 bottom: "res4b22_branch2c"5161 top: "res4b22"5162 name: "res4b22"5163 type: "Eltwise"5164 eltwise_param {5165 operation: SUM5166 }5167 }5168

5169 layer {5170 bottom: "res4b22"5171 top: "res4b22"5172 name: "res4b22_relu"5173 type: "ReLU"5174 }5175

5176 layer {5177 bottom: "res4b22"5178 top: "res4b23_branch2a"5179 name: "res4b23_branch2a"5180 type: "Convolution"5181 convolution_param {5182 num_output: 2565183 kernel_size: 15184 pad: 05185 stride: 15186 weight_filler {5187 type: "msra"5188 }5189 bias_term: false5190

5191 }5192 }5193

5194 layer {5195 bottom: "res4b23_branch2a"5196 top: "res4b23_branch2a"5197 name: "bn4b23_branch2a"5198 type: "BatchNorm"5199 batch_norm_param {5200 use_global_stats: false5201 }5202 }5203

5204 layer {5205 bottom: "res4b23_branch2a"5206 top: "res4b23_branch2a"5207 name: "scale4b23_branch2a"5208 type: "Scale"5209 scale_param {5210 bias_term: true5211 }5212 }5213

5214 layer {5215 bottom: "res4b23_branch2a"5216 top: "res4b23_branch2a"5217 name: "res4b23_branch2a_relu"5218 type: "ReLU"5219 }5220

5221 layer {5222 bottom: "res4b23_branch2a"5223 top: "res4b23_branch2b"5224 name: "res4b23_branch2b"5225 type: "Convolution"5226 convolution_param {5227 num_output: 2565228 kernel_size: 35229 pad: 15230 stride: 15231 weight_filler {5232 type: "msra"5233 }5234 bias_term: false5235

5236 }5237 }5238

5239 layer {5240 bottom: "res4b23_branch2b"5241 top: "res4b23_branch2b"5242 name: "bn4b23_branch2b"5243 type: "BatchNorm"5244 batch_norm_param {5245 use_global_stats: false5246 }5247 }5248

5249 layer {5250 bottom: "res4b23_branch2b"5251 top: "res4b23_branch2b"5252 name: "scale4b23_branch2b"5253 type: "Scale"5254 scale_param {5255 bias_term: true5256 }5257 }5258

5259 layer {5260 bottom: "res4b23_branch2b"5261 top: "res4b23_branch2b"5262 name: "res4b23_branch2b_relu"5263 type: "ReLU"5264 }5265

5266 layer {5267 bottom: "res4b23_branch2b"5268 top: "res4b23_branch2c"5269 name: "res4b23_branch2c"5270 type: "Convolution"5271 convolution_param {5272 num_output: 10245273 kernel_size: 15274 pad: 05275 stride: 15276 weight_filler {5277 type: "msra"5278 }5279 bias_term: false5280

5281 }5282 }5283

5284 layer {5285 bottom: "res4b23_branch2c"5286 top: "res4b23_branch2c"5287 name: "bn4b23_branch2c"5288 type: "BatchNorm"5289 batch_norm_param {5290 use_global_stats: false5291 }5292 }5293

5294 layer {5295 bottom: "res4b23_branch2c"5296 top: "res4b23_branch2c"5297 name: "scale4b23_branch2c"5298 type: "Scale"5299 scale_param {5300 bias_term: true5301 }5302 }5303

5304 layer {5305 bottom: "res4b22"5306 bottom: "res4b23_branch2c"5307 top: "res4b23"5308 name: "res4b23"5309 type: "Eltwise"5310 eltwise_param {5311 operation: SUM5312 }5313 }5314

5315 layer {5316 bottom: "res4b23"5317 top: "res4b23"5318 name: "res4b23_relu"5319 type: "ReLU"5320 }5321

5322 layer {5323 bottom: "res4b23"5324 top: "res4b24_branch2a"5325 name: "res4b24_branch2a"5326 type: "Convolution"5327 convolution_param {5328 num_output: 2565329 kernel_size: 15330 pad: 05331 stride: 15332 weight_filler {5333 type: "msra"5334 }5335 bias_term: false5336

5337 }5338 }5339

5340 layer {5341 bottom: "res4b24_branch2a"5342 top: "res4b24_branch2a"5343 name: "bn4b24_branch2a"5344 type: "BatchNorm"5345 batch_norm_param {5346 use_global_stats: false5347 }5348 }5349

5350 layer {5351 bottom: "res4b24_branch2a"5352 top: "res4b24_branch2a"5353 name: "scale4b24_branch2a"5354 type: "Scale"5355 scale_param {5356 bias_term: true5357 }5358 }5359

5360 layer {5361 bottom: "res4b24_branch2a"5362 top: "res4b24_branch2a"5363 name: "res4b24_branch2a_relu"5364 type: "ReLU"5365 }5366

5367 layer {5368 bottom: "res4b24_branch2a"5369 top: "res4b24_branch2b"5370 name: "res4b24_branch2b"5371 type: "Convolution"5372 convolution_param {5373 num_output: 2565374 kernel_size: 35375 pad: 15376 stride: 15377 weight_filler {5378 type: "msra"5379 }5380 bias_term: false5381

5382 }5383 }5384 5385 layer {5386 bottom: "res4b24_branch2b"5387 top: "res4b24_branch2b"5388 name: "bn4b24_branch2b"5389 type: "BatchNorm"5390 batch_norm_param {5391 use_global_stats: false5392 }5393 }5394

5395 layer {5396 bottom: "res4b24_branch2b"5397 top: "res4b24_branch2b"5398 name: "scale4b24_branch2b"5399 type: "Scale"5400 scale_param {5401 bias_term: true5402 }5403 }5404

5405 layer {5406 bottom: "res4b24_branch2b"5407 top: "res4b24_branch2b"5408 name: "res4b24_branch2b_relu"5409 type: "ReLU"5410 }5411

5412 layer {5413 bottom: "res4b24_branch2b"5414 top: "res4b24_branch2c"5415 name: "res4b24_branch2c"5416 type: "Convolution"5417 convolution_param {5418 num_output: 10245419 kernel_size: 15420 pad: 05421 stride: 15422 weight_filler {5423 type: "msra"5424 }5425 bias_term: false5426

5427 }5428 }5429

5430 layer {5431 bottom: "res4b24_branch2c"5432 top: "res4b24_branch2c"5433 name: "bn4b24_branch2c"5434 type: "BatchNorm"5435 batch_norm_param {5436 use_global_stats: false5437 }5438 }5439

5440 layer {5441 bottom: "res4b24_branch2c"5442 top: "res4b24_branch2c"5443 name: "scale4b24_branch2c"5444 type: "Scale"5445 scale_param {5446 bias_term: true5447 }5448 }5449

5450 layer {5451 bottom: "res4b23"5452 bottom: "res4b24_branch2c"5453 top: "res4b24"5454 name: "res4b24"5455 type: "Eltwise"5456 eltwise_param {5457 operation: SUM5458 }5459 }5460

5461 layer {5462 bottom: "res4b24"5463 top: "res4b24"5464 name: "res4b24_relu"5465 type: "ReLU"5466 }5467

5468 layer {5469 bottom: "res4b24"5470 top: "res4b25_branch2a"5471 name: "res4b25_branch2a"5472 type: "Convolution"5473 convolution_param {5474 num_output: 2565475 kernel_size: 15476 pad: 05477 stride: 15478 weight_filler {5479 type: "msra"5480 }5481 bias_term: false5482

5483 }5484 }5485

5486 layer {5487 bottom: "res4b25_branch2a"5488 top: "res4b25_branch2a"5489 name: "bn4b25_branch2a"5490 type: "BatchNorm"5491 batch_norm_param {5492 use_global_stats: false5493 }5494 }5495

5496 layer {5497 bottom: "res4b25_branch2a"5498 top: "res4b25_branch2a"5499 name: "scale4b25_branch2a"5500 type: "Scale"5501 scale_param {5502 bias_term: true5503 }5504 }5505

5506 layer {5507 bottom: "res4b25_branch2a"5508 top: "res4b25_branch2a"5509 name: "res4b25_branch2a_relu"5510 type: "ReLU"5511 }5512

5513 layer {5514 bottom: "res4b25_branch2a"5515 top: "res4b25_branch2b"5516 name: "res4b25_branch2b"5517 type: "Convolution"5518 convolution_param {5519 num_output: 2565520 kernel_size: 35521 pad: 15522 stride: 15523 weight_filler {5524 type: "msra"5525 }5526 bias_term: false5527

5528 }5529 }5530

5531 layer {5532 bottom: "res4b25_branch2b"5533 top: "res4b25_branch2b"5534 name: "bn4b25_branch2b"5535 type: "BatchNorm"5536 batch_norm_param {5537 use_global_stats: false5538 }5539 }5540

5541 layer {5542 bottom: "res4b25_branch2b"5543 top: "res4b25_branch2b"5544 name: "scale4b25_branch2b"5545 type: "Scale"5546 scale_param {5547 bias_term: true5548 }5549 }5550

5551 layer {5552 bottom: "res4b25_branch2b"5553 top: "res4b25_branch2b"5554 name: "res4b25_branch2b_relu"5555 type: "ReLU"5556 }5557

5558 layer {5559 bottom: "res4b25_branch2b"5560 top: "res4b25_branch2c"5561 name: "res4b25_branch2c"5562 type: "Convolution"5563 convolution_param {5564 num_output: 10245565 kernel_size: 15566 pad: 05567 stride: 15568 weight_filler {5569 type: "msra"5570 }5571 bias_term: false5572

5573 }5574 }5575

5576 layer {5577 bottom: "res4b25_branch2c"5578 top: "res4b25_branch2c"5579 name: "bn4b25_branch2c"5580 type: "BatchNorm"5581 batch_norm_param {5582 use_global_stats: false5583 }5584 }5585

5586 layer {5587 bottom: "res4b25_branch2c"5588 top: "res4b25_branch2c"5589 name: "scale4b25_branch2c"5590 type: "Scale"5591 scale_param {5592 bias_term: true5593 }5594 }5595

5596 layer {5597 bottom: "res4b24"5598 bottom: "res4b25_branch2c"5599 top: "res4b25"5600 name: "res4b25"5601 type: "Eltwise"5602 eltwise_param {5603 operation: SUM5604 }5605 }5606

5607 layer {5608 bottom: "res4b25"5609 top: "res4b25"5610 name: "res4b25_relu"5611 type: "ReLU"5612 }5613

5614 layer {5615 bottom: "res4b25"5616 top: "res4b26_branch2a"5617 name: "res4b26_branch2a"5618 type: "Convolution"5619 convolution_param {5620 num_output: 2565621 kernel_size: 15622 pad: 05623 stride: 15624 weight_filler {5625 type: "msra"5626 }5627 bias_term: false5628

5629 }5630 }5631

5632 layer {5633 bottom: "res4b26_branch2a"5634 top: "res4b26_branch2a"5635 name: "bn4b26_branch2a"5636 type: "BatchNorm"5637 batch_norm_param {5638 use_global_stats: false5639 }5640 }5641

5642 layer {5643 bottom: "res4b26_branch2a"5644 top: "res4b26_branch2a"5645 name: "scale4b26_branch2a"5646 type: "Scale"5647 scale_param {5648 bias_term: true5649 }5650 }5651

5652 layer {5653 bottom: "res4b26_branch2a"5654 top: "res4b26_branch2a"5655 name: "res4b26_branch2a_relu"5656 type: "ReLU"5657 }5658

5659 layer {5660 bottom: "res4b26_branch2a"5661 top: "res4b26_branch2b"5662 name: "res4b26_branch2b"5663 type: "Convolution"5664 convolution_param {5665 num_output: 2565666 kernel_size: 35667 pad: 15668 stride: 15669 weight_filler {5670 type: "msra"5671 }5672 bias_term: false5673

5674 }5675 }5676

5677 layer {5678 bottom: "res4b26_branch2b"5679 top: "res4b26_branch2b"5680 name: "bn4b26_branch2b"5681 type: "BatchNorm"5682 batch_norm_param {5683 use_global_stats: false5684 }5685 }5686

5687 layer {5688 bottom: "res4b26_branch2b"5689 top: "res4b26_branch2b"5690 name: "scale4b26_branch2b"5691 type: "Scale"5692 scale_param {5693 bias_term: true5694 }5695 }5696

5697 layer {5698 bottom: "res4b26_branch2b"5699 top: "res4b26_branch2b"5700 name: "res4b26_branch2b_relu"5701 type: "ReLU"5702 }5703

5704 layer {5705 bottom: "res4b26_branch2b"5706 top: "res4b26_branch2c"5707 name: "res4b26_branch2c"5708 type: "Convolution"5709 convolution_param {5710 num_output: 10245711 kernel_size: 15712 pad: 05713 stride: 15714 weight_filler {5715 type: "msra"5716 }5717 bias_term: false5718

5719 }5720 }5721

5722 layer {5723 bottom: "res4b26_branch2c"5724 top: "res4b26_branch2c"5725 name: "bn4b26_branch2c"5726 type: "BatchNorm"5727 batch_norm_param {5728 use_global_stats: false5729 }5730 }5731

5732 layer {5733 bottom: "res4b26_branch2c"5734 top: "res4b26_branch2c"5735 name: "scale4b26_branch2c"5736 type: "Scale"5737 scale_param {5738 bias_term: true5739 }5740 }5741

5742 layer {5743 bottom: "res4b25"5744 bottom: "res4b26_branch2c"5745 top: "res4b26"5746 name: "res4b26"5747 type: "Eltwise"5748 eltwise_param {5749 operation: SUM5750 }5751 }5752

5753 layer {