With [Basic Auth][basic], who are your [co-workers][people]:
$ curl -H 'Authorization: Basic …' -H 'Accept: application/json' https://example.harvestapp.com/people
> jq 'map(select(.user.is_active)) | map(.user | {first_name: .first_name, last_name: .last_name, id: .id})'
[
{
"id": 1234,
"last_name": "Alice",
"first_name": "Bobsdaughter"
},
| ;; This previously was CLJX but has now been updated to use cljc. Thanks @caskolkm | |
| ;; https://gist.github.com/caskolkm/39d823f5bac7051d3062 | |
| (ns app.logging | |
| (:refer-clojure :exclude [time]) | |
| (:require #?(:clj [clojure.tools.logging :as log] | |
| :cljs [goog.log :as glog])) | |
| #?(:cljs (:import goog.debug.Console))) | |
| #?(:cljs |
| /* | |
| Filepicker lib must be loaded from script tag in HTML: | |
| <script type="text/javascript" src="//api.filepicker.io/v2/filepicker.js"></script> | |
| */ | |
| class FilepickerInput extends React.Component { | |
| componentDidMount() { | |
| const filepickerElement = this.refs.filepicker; | |
| if (typeof filepicker !== 'undefined') { | |
| // Single-page app integration: https://developers.filepicker.com/docs/support/integration/117 |
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