글쓴이: 김정주(haje01@gmail.com)
이 문서는 텐서플로우 공식 페이지 내용을 바탕으로 만들어졌습니다.
텐서플로우(TensorFlow)는 기계 학습과 딥러닝을 위해 구글에서 만든 오픈소스 라이브러리입니다. 데이터 플로우 그래프(Data Flow Graph) 방식을 사용하였습니다.
/** | |
* @brief Image enchancement and Hough transform example | |
* @author Eugene Khvedchenya <ekhvedchenya@gmail.com> | |
* @copyright computer-vision-talks.com/articles/how-to-detect-circles-in-noisy-image/ | |
*/ | |
#include <opencv2/opencv.hpp> |
layers { | |
name: "conv1A" | |
type: CONVOLUTION | |
bottom: "data" | |
top: "conv1A" | |
blobs_lr: 1 | |
blobs_lr: 2 | |
weight_decay: 1 | |
weight_decay: 0 | |
convolution_param { |
Download Google Drive files with WGET | |
Example Google Drive download link: | |
https://docs.google.com/open?id=[ID] | |
To download the file with WGET you need to use this link: | |
https://googledrive.com/host/[ID] | |
Example WGET command: |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000001.jpg 1 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000002.jpg 1823 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000003.jpg 2903 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000004.jpg 4470 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000005.jpg 4698 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000006.jpg 4797 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000007.jpg 4917 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000008.jpg 5072 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000009.jpg 5177 | |
./cache/flic_win/LMDB/LMDB_val_patches/casino-royale-00039871_00000001_000010.jpg 5271 |
VGG_ILSVRC_19_layers_train_val.prototxt | |
name: "VGG_ILSVRC_19_layers" | |
layers { | |
name: "data" | |
type: DATA | |
include { | |
phase: TRAIN | |
} | |
transform_param { | |
crop_size: 224 |
글쓴이: 김정주(haje01@gmail.com)
이 문서는 텐서플로우 공식 페이지 내용을 바탕으로 만들어졌습니다.
텐서플로우(TensorFlow)는 기계 학습과 딥러닝을 위해 구글에서 만든 오픈소스 라이브러리입니다. 데이터 플로우 그래프(Data Flow Graph) 방식을 사용하였습니다.
# Make sure you grab the latest version | |
curl -OL https://github.com/google/protobuf/releases/download/v3.2.0/protoc-3.2.0-linux-x86_64.zip | |
# Unzip | |
unzip protoc-3.2.0-linux-x86_64.zip -d protoc3 | |
# Move protoc to /usr/local/bin/ | |
sudo mv protoc3/bin/* /usr/local/bin/ | |
# Move protoc3/include to /usr/local/include/ |
const INTERVAL = 10000; | |
var getQueryVariable = function (key) { | |
let query = window.location.search.substring(1); | |
let vars = query.split('&'); | |
for (let i = 0; i < vars.length; i++) { | |
let pair = vars[i].split('='); | |
if (decodeURIComponent(pair[0]) == key) { | |
return decodeURIComponent(pair[1]); | |
} |