aparrish

dannguyen

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

jmindek

distinct column -> For each row returned, return only the unique members of a set. Think of it as for each row in a projection, concatenate all the column values and return only the strings that are unique.

test_db=# SELECT DISTINCT parent_id, child_id, id FROM test.foo_table ORDER BY parent_id, child_id, id LIMIT 10;
parent_id | child_id | id
-----------+------------+-----------------------------
1000040 | 103 | 1000040|2645405726|0001|103

carcinocron

// Run this in the F12 javascript console in chrome
// if a redirect happens, the page will pause
// this helps because chrome's network tab's
// "preserve log" seems to technically preserve the log
// but you can't actually LOOK at it...
// also the "replay xhr" feature does not work after reload
// even if you "preserve log".

window.addEventListener("beforeunload", function() { debugger; }, false)

s-y

import asyncio

@asyncio.coroutine
def waiting(r):
    print("hello from waiting -", r)
    yield from asyncio.sleep(2)
    print("bye from waiting -", r)
    return r

keis

import asyncio

@asyncio.coroutine
def waiting(r):
    print("hello from waiting -", r)
    yield from asyncio.sleep(2)
    print("bye from waiting -", r)
    return r

wkjagt

;  ___           _        __ ___  __ ___
; / __|_ _  __ _| |_____ / /| __|/  \_  )
; \__ \ ' \/ _` | / / -_) _ \__ \ () / /
; |___/_||_\__,_|_\_\___\___/___/\__/___|

; An annotated version of the snake example from Nick Morgan's 6502 assembly tutorial
; on http://skilldrick.github.io/easy6502/ that I created as an exercise for myself
; to learn a little bit about assembly. I **think** I understood everything, but I may
; also be completely wrong :-)

bosconian-dynamics

/(?:https?:\/\/)?(?:(?:0rz\.tw)|(?:1link\.in)|(?:1url\.com)|(?:2\.gp)|(?:2big\.at)|(?:2tu\.us)|(?:3\.ly)|(?:307\.to)|(?:4ms\.me)|(?:4sq\.com)|(?:4url\.cc)|(?:6url\.com)|(?:7\.ly)|(?:a\.gg)|(?:a\.nf)|(?:aa\.cx)|(?:abcurl\.net)|(?:ad\.vu)|(?:adf\.ly)|(?:adjix\.com)|(?:afx\.cc)|(?:all\.fuseurl.com)|(?:alturl\.com)|(?:amzn\.to)|(?:ar\.gy)|(?:arst\.ch)|(?:atu\.ca)|(?:azc\.cc)|(?:b23\.ru)|(?:b2l\.me)|(?:bacn\.me)|(?:bcool\.bz)|(?:binged\.it)|(?:bit\.ly)|(?:bizj\.us)|(?:bloat\.me)|(?:bravo\.ly)|(?:bsa\.ly)|(?:budurl\.com)|(?:canurl\.com)|(?:chilp\.it)|(?:chzb\.gr)|(?:cl\.lk)|(?:cl\.ly)|(?:clck\.ru)|(?:cli\.gs)|(?:cliccami\.info)|(?:clickthru\.ca)|(?:clop\.in)|(?:conta\.cc)|(?:cort\.as)|(?:cot\.ag)|(?:crks\.me)|(?:ctvr\.us)|(?:cutt\.us)|(?:dai\.ly)|(?:decenturl\.com)|(?:dfl8\.me)|(?:digbig\.com)|(?:digg\.com)|(?:disq\.us)|(?:dld\.bz)|(?:dlvr\.it)|(?:do\.my)|(?:doiop\.com)|(?:dopen\.us)|(?:easyuri\.com)|(?:easyurl\.net)|(?:eepurl\.com)|(?:eweri\.com)|(?:fa\.by)|(?:fav\.me)|(?:fb\.me)|(?:fbshare\.me)|(?:ff\.im)|(?:fff\

denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

dypsilon

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

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