adamawolf

i386 : iPhone Simulator
x86_64 : iPhone Simulator
arm64 : iPhone Simulator
iPhone1,1 : iPhone
iPhone1,2 : iPhone 3G
iPhone2,1 : iPhone 3GS
iPhone3,1 : iPhone 4
iPhone3,2 : iPhone 4 GSM Rev A
iPhone3,3 : iPhone 4 CDMA
iPhone4,1 : iPhone 4S

riobard

def test(state):
    ' test if the state is final '
    return all(d == 0 or d == 2 for d in state)


def next(state, cross=2):
    ' generate all possible moves from the current state '
    for i, d in enumerate(state):
        if d == 1:
            l = left(state, i, cross)

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

lelandbatey

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

lexrus

/*/../usr/bin/true

source="$0"
compiled="$0"c

if [[ "$source" -nt "$compiled" ]]; then
DEVELOPER_DIR=/Applications/Xcode.app/Contents/Developer xcrun swiftc -sdk /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.10.sdk -g "$source" -o "$compiled"  || exit
fi

"$compiled"

oakes

Contents

• Why care about Rust?
• The Toolchain
• Creating a New Project
• Modules
• Crates
• Types
• References
• Mutability

josephg

# Thanks to commenters for providing the base of this much nicer implementation!
# Save and run with $ python 0dedict.py
# You may need to hunt down the dictionary files yourself and change the awful path string below.
# This works for me on MacOS 10.14 Mohave

from struct import unpack
from zlib import decompress
import re
filename = '/System/Library/Assets/com_apple_MobileAsset_DictionaryServices_dictionaryOSX/9f5862030e8f00af171924ebbc23ebfd6e91af78.asset/AssetData/Oxford Dictionary of English.dictionary/Contents/Resources/Body.data'
f = open(filename, 'rb')

cloudwu

local M = {}

function M.test(...)
	print(...)
end

return M

steventroughtonsmith

# coding: utf-8
from objc_util import *

NSAKDeserializer = ObjCClass('NSAKDeserializer')
NSAKDeserializerStream = ObjCClass('NSAKDeserializerStream')
NSAKSerializer = ObjCClass('NSAKSerializer')
NSAKSerializerStream = ObjCClass('NSAKSerializerStream')
NSAbstractLayoutGuide = ObjCClass('NSAbstractLayoutGuide')
NSAddressCheckingResult = ObjCClass('NSAddressCheckingResult')
NSAffineTransform = ObjCClass('NSAffineTransform')

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