| #!/bin/sh | |
| # 1) Install Xcode 12 | |
| # 2) Install command line tools: `xcode-select --install` | |
| # 3) Install Homebrew | |
| # 4) brew install zlib bzip2 xz | |
| CFLAGS="-I$(brew --prefix zlib)/include -I$(brew --prefix bzip2)/include -I$(brew --prefix xz)/include" \ | |
| LDFLAGS="-L$(brew --prefix zlib)/lib -L$(brew --prefix bzip2)/lib -L$(brew --prefix xz)/lib" \ | |
| pyenv install 3.8.6 |
| # please cite: | |
| # @article{SqueezeNet, | |
| # Author = {Forrest N. Iandola and Matthew W. Moskewicz and Khalid Ashraf and Song Han and William J. Dally and Kurt Keutzer}, | |
| # Title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and $<$1MB model size}, | |
| # Journal = {arXiv:1602.07360}, | |
| # Year = {2016} | |
| # } | |
| layer { | |
| name: "data" | |
| type: "Data" |
| name: "GoogleNet" | |
| input: "data" | |
| input_dim: 10 | |
| input_dim: 3 | |
| input_dim: 224 | |
| input_dim: 224 | |
| layers { | |
| bottom: "data" | |
| top: "conv1/7x7_s2" | |
| name: "conv1/7x7_s2" |
Following this guide will set up a local Elasticsearch with Kibana and Marvel using Homebrew and Homebrew Cask
If you already have Java installed on your system, skip steps Install Cask and Install Java
If you already have Java and Homebrew installed on your system, skip steps Prerequisites, start at Install Elasticsearch and Kibana after running $ brew update
$ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
If you don't have homebrew installed - get homebrew here
Then run: brew install elasticsearch
Update the elasticsearch configuration file in /usr/local/etc/elasticsearch/elasticsearch.yml.
| layer { | |
| name: "Image1" | |
| type: "ImageData" | |
| top: "img0" | |
| include { | |
| phase: TRAIN | |
| } | |
| image_data_param { | |
| source: "img1_list.txt" | |
| root_folder: "./" |
| name: "FaceNet" | |
| layer { | |
| name: "facenet" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { |
| name: "ZF_triplet_train" | |
| layer { | |
| name: 'input-data' | |
| type: 'Python' | |
| top: 'data' | |
| top: 'im_info' | |
| top: 'gt_boxes' | |
| top: 'im_inds' | |
| #top: 'rois' | |
| #top: 'labels' |
| name: "ZF_triplet_train" | |
| layer { | |
| name: 'input-data' | |
| type: 'Python' | |
| top: 'data' | |
| top: 'im_info' | |
| top: 'gt_boxes' | |
| top: 'im_inds' | |
| #top: 'rois' | |
| #top: 'labels' |
| name: "ZF_triplet_test" | |
| input: "data" | |
| input_shape { | |
| dim: 1 | |
| dim: 3 | |
| dim: 224 | |
| dim: 224 | |
| } |