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  • SELab, Inc
  • Seoul city in Korea
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yeongu-dev / wgrib2_auto_compile_script.sh
Created January 13, 2023 01:49 — forked from wxguy/wgrib2_auto_compile_script.sh
A small bash script to compile wgrib2 from source on Ubuntu OS...
#!/bin/bash
# License for this script is GNU 2
# A small bash script to download, compile and install latest wgrib2 from source.
# I have written this script so that I can automate the proceedure whenever I change Linux OS
# Make it executable before running the script using'chmod +x ./wgrib2_auto_compile_script.sh'
# Ensure to run the script with sudo (sudo ./wgrib2_auto_compile_script.sh) or under root environment
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yeongu-dev / GitCommitEmoji.md
Created October 26, 2022 15:26 — forked from parmentf/GitCommitEmoji.md
Git Commit message Emoji
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yeongu-dev / wsl.md
Created February 21, 2022 07:59 — forked from alyleite/wsl.md
Failed to connect to bus: Host is down - WSL 2

» sudo systemctl daemon-reload

System has not been booted with systemd as init system (PID 1). Can't operate. Failed to connect to bus: Host is down

just try:

sudo apt-get update && sudo apt-get install -yqq daemonize dbus-user-session fontconfig

sudo daemonize /usr/bin/unshare --fork --pid --mount-proc /lib/systemd/systemd --system-unit=basic.target

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yeongu-dev / README.md
Created March 31, 2017 05:57 — forked from dannguyen/README.md
Using Python 3.x and Google Cloud Vision API to OCR scanned documents to extract structured data

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

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yeongu-dev / remove_CLI_tools.sh
Created May 9, 2013 02:40 — forked from yoneken/remove_CLI_tools.sh
# remove_CLI_tools.sh
# written by cocoanetics:http://www.cocoanetics.com/2012/07/you-dont-need-the-xcode-command-line-tools/
# modified by yoneken
#!/bin/sh
RECEIPT_FILE1=/var/db/receipts/com.apple.pkg.DevSDK.bom
RECEIPT_PLIST1=/var/db/receipts/com.apple.pkg.DevSDK.plist
RECEIPT_FILE2=/var/db/receipts/com.apple.pkg.clang.bom
RECEIPT_PLIST2=/var/db/receipts/com.apple.pkg.clang.plist