| <?php | |
| namespace App; | |
| use Carbon\Carbon; | |
| use Illuminate\Database\Eloquent\Model; | |
| class User extends Model | |
| { | |
| /** |
Source: https://coderwall.com/p/nhp7mq/convert-raw-photos-to-jpg-in-the-mac-os-terminal
No need for slow and heavy Photoshop scripts for this one, you can do easily do this right from your terminal window.
This is possible using "sips", an image editing tool already available on Mac which allows you to do all sorts of image manipulation, including resizing and converting.
So we first grab all RAW files in a folder, We convert them to jpeg (or any other format),
| function formatBytes(bytes,decimals) { | |
| if(bytes == 0) return '0 Bytes'; | |
| var k = 1024, | |
| dm = decimals || 2, | |
| sizes = ['Bytes', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB'], | |
| i = Math.floor(Math.log(bytes) / Math.log(k)); | |
| return parseFloat((bytes / Math.pow(k, i)).toFixed(dm)) + ' ' + sizes[i]; | |
| } | |
| // Usage: |
| MOSDNS v5 配置 |
| import gdal | |
| from osgeo import gdal_array | |
| import osr | |
| import numpy | |
| def get_dst_dataset(dst_img, cols, rows, layers, dtype, proj, gt): | |
| """ | |
| Create a GDAL data set in Cloud Optimized GeoTIFF (COG) format | |
| :param dst_img: Output filenane full path |
| #define _USE_MATH_DEFINES | |
| #include <stdio.h> | |
| #include <cmath> | |
| #include <vector> | |
| #include <random> | |
| static bool is_running = true; | |
| #if _WIN32 | |
| #define WIN32_LEAN_AND_MEAN |
| javascript: Promise.all([import('https://unpkg.com/turndown@6.0.0?module'), import('https://unpkg.com/@tehshrike/readability@0.2.0'), ]).then(async ([{ | |
| default: Turndown | |
| }, { | |
| default: Readability | |
| }]) => { | |
| /* Optional vault name */ | |
| const vault = ""; | |
| /* Optional folder name such as "Clippings/" */ |
