-
Notifications
You must be signed in to change notification settings - Fork 53
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
willard-yuan
committed
Dec 12, 2017
1 parent
aeb363b
commit f2b2c0a
Showing
5 changed files
with
897 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| cmake_minimum_required(VERSION 2.8.8) | ||
|
|
||
| set(Caffe_DIR /media/disk2/caffe) | ||
| find_package(Caffe) | ||
| include_directories(${Caffe_INCLUDE_DIRS}) | ||
| add_definitions(${Caffe_DEFINITIONS}) # ex. -DCPU_ONLY | ||
|
|
||
|
|
||
| SET( EIGEN3_INCLUDE_DIR "/home/yuanyong/eigen-eigen-f562a193118d" ) | ||
| IF( NOT EIGEN3_INCLUDE_DIR ) | ||
| MESSAGE( FATAL_ERROR "Please point the environment variable EIGEN3_INCLUDE_DIR to the include directory of your Eigen3 installation.") | ||
| ENDIF() | ||
| INCLUDE_DIRECTORIES ( "${EIGEN3_INCLUDE_DIR}" ) | ||
|
|
||
| #file(GLOB utils | ||
| # "utils.h" | ||
| # "utils.cpp" | ||
| #) | ||
|
|
||
| add_executable(caffeinated_application extract_feature_bk.cpp) | ||
| target_link_libraries(caffeinated_application ${Caffe_LIBRARIES}) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,4 @@ | ||
|
|
||
| ## CPP Implemention for Crow | ||
|
|
||
| This is a cpp implemention for crow. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,282 @@ | ||
| name: "VGG_ILSVRC_16_layers" | ||
| input: "data" | ||
| input_dim: 1 | ||
| input_dim: 3 | ||
| input_dim: 224 | ||
| input_dim: 224 | ||
| layers { | ||
| bottom: "data" | ||
| top: "conv1_1" | ||
| name: "conv1_1" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 64 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv1_1" | ||
| top: "conv1_1" | ||
| name: "relu1_1" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv1_1" | ||
| top: "conv1_2" | ||
| name: "conv1_2" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 64 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv1_2" | ||
| top: "conv1_2" | ||
| name: "relu1_2" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv1_2" | ||
| top: "pool1" | ||
| name: "pool1" | ||
| type: POOLING | ||
| pooling_param { | ||
| pool: MAX | ||
| kernel_size: 2 | ||
| stride: 2 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "pool1" | ||
| top: "conv2_1" | ||
| name: "conv2_1" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 128 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv2_1" | ||
| top: "conv2_1" | ||
| name: "relu2_1" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv2_1" | ||
| top: "conv2_2" | ||
| name: "conv2_2" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 128 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv2_2" | ||
| top: "conv2_2" | ||
| name: "relu2_2" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv2_2" | ||
| top: "pool2" | ||
| name: "pool2" | ||
| type: POOLING | ||
| pooling_param { | ||
| pool: MAX | ||
| kernel_size: 2 | ||
| stride: 2 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "pool2" | ||
| top: "conv3_1" | ||
| name: "conv3_1" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 256 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv3_1" | ||
| top: "conv3_1" | ||
| name: "relu3_1" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv3_1" | ||
| top: "conv3_2" | ||
| name: "conv3_2" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 256 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv3_2" | ||
| top: "conv3_2" | ||
| name: "relu3_2" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv3_2" | ||
| top: "conv3_3" | ||
| name: "conv3_3" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 256 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv3_3" | ||
| top: "conv3_3" | ||
| name: "relu3_3" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv3_3" | ||
| top: "pool3" | ||
| name: "pool3" | ||
| type: POOLING | ||
| pooling_param { | ||
| pool: MAX | ||
| kernel_size: 2 | ||
| stride: 2 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "pool3" | ||
| top: "conv4_1" | ||
| name: "conv4_1" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 512 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv4_1" | ||
| top: "conv4_1" | ||
| name: "relu4_1" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv4_1" | ||
| top: "conv4_2" | ||
| name: "conv4_2" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 512 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv4_2" | ||
| top: "conv4_2" | ||
| name: "relu4_2" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv4_2" | ||
| top: "conv4_3" | ||
| name: "conv4_3" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 512 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv4_3" | ||
| top: "conv4_3" | ||
| name: "relu4_3" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv4_3" | ||
| top: "pool4" | ||
| name: "pool4" | ||
| type: POOLING | ||
| pooling_param { | ||
| pool: MAX | ||
| kernel_size: 2 | ||
| stride: 2 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "pool4" | ||
| top: "conv5_1" | ||
| name: "conv5_1" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 512 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv5_1" | ||
| top: "conv5_1" | ||
| name: "relu5_1" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv5_1" | ||
| top: "conv5_2" | ||
| name: "conv5_2" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 512 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv5_2" | ||
| top: "conv5_2" | ||
| name: "relu5_2" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv5_2" | ||
| top: "conv5_3" | ||
| name: "conv5_3" | ||
| type: CONVOLUTION | ||
| convolution_param { | ||
| num_output: 512 | ||
| pad: 1 | ||
| kernel_size: 3 | ||
| } | ||
| } | ||
| layers { | ||
| bottom: "conv5_3" | ||
| top: "conv5_3" | ||
| name: "relu5_3" | ||
| type: RELU | ||
| } | ||
| layers { | ||
| bottom: "conv5_3" | ||
| top: "pool5" | ||
| name: "pool5" | ||
| type: POOLING | ||
| pooling_param { | ||
| pool: MAX | ||
| kernel_size: 2 | ||
| stride: 2 | ||
| } | ||
| } |
Oops, something went wrong.