Went through a bunch of old junk and found my old SIM card from when I lived in Brisbane. Popped it into my iPhone, luckily I had disabled the PIN code. Settings, Mail-Contacts-Calendar, Import SIM Contacts… voila, I have my REALLY old phone book back. I wonder if those guys still have the same numbers.

Dreamzone Gold B20 140x200cm Box- & overmadrass fra Jysk i Esbjerg.
Mederne er i lyst træ

Læs mere om sengen her:
http://www.jysk.dk/4/5/6/11/3209557/a/catalog

Læs mere om hvor fantastisk en Gold Dreamzone er her:
http://www.jysk.dk/4/5/s24897/ag/catalog/

Billeder:

Både madrassen og topmadrassen er i særdeles god stand, og det er stadigt mer end 10 års garanti fra Jysk. Vi er ikke rygere og har ikke dyr, så sengen er frisk og fin.

Vi er lige flyttet ind i et nyt hus og kunne desværre ikke få en så stor boxmadras op trappen til vores soveværelse. Derfor er vi nødt til at sælge den og købe to enkeltsenge i stedet. Dette er en helt fantastisk seng, som du/I vil blive MEGET glad for.

Sengen blev købt på tilbud til 6800 kroner (original pris 7599) + meder. Du får den for 2500, inklusive meder, og henter den selv i Esbjerg.

Sengen har pocket-fjedre som er slanke, rørformede fjedre i hærdet stål lagt i hver sin stofpose. Det giver en smidig og lydløs konstruktion med mange individuelle støttepunkter. Boxmadrassen har dobbelt lag med fjedre, sådan at nedre lag har 150 mini-bonell-fjedre per m2, og den øverste har 250 fjedre/m2, fordelt i 5 komfortzoner som giver en mere ergonomisk korrekt soveposition, og sengen har latex-polstring som leder varmen væk meget effektivt og giver god støtte.

Topmadrassen bruger memory-skum, dvs varmeregulernde skum, vejer minimum 45 kg/m3, former sig efter kroppen, virker trykaflastende og øger blodcirkulationen.

Se mere her:
http://minreklame.ipapercms.dk/JYSK/DK/2008DKOKT3fdsjkkfds/?Page=3

Vareinformation fra Jysk:

Vareinformation:
Madrastype: Boxmadras
Størrelse: Bredde: 140 cm, Længde: 200 cm, Højde: 25 cm
Fjederindlæg: Pocket/Mini-bonell
Fjedre/m²: 250 / 150
Zoneinddelt: 5
HÃ¥rdhed: Medium
Polstring: 37 kg/m³ koldskum 30 mm
Bolster: 75% bomuld/25% polyester

Inkl. topmadras
Kerne: Memory-skum
Kernekvalitet: 50 kg/m³
Kernehøjde: 5 cm
Quiltning: 200 g/m² uld + 4 mm koldskum + 300 g/m² polyester
Bolstermateriale: 75% bomuld/25% polyester
Højde: 9 cm

Meder i lyst træ

Zicos have picked up the Well Tempered iPhone application after a feature in Synthtopia. The article was also tweeted about. Well Tempered was also featured on iPod Touch Fans by the App Store Bot. Nice to see it being picked up

I have a problem: I’ve put all my photos I’ve taken the past ten years into Lightroom. To ensure that I didn’t miss any, I’ve put in all from my server, all from my backups etc etc etc. In short: duplicate galore. Now, I’ve sorted by filename and removed duplicates. I’ve sorted by capture time and removed duplicates. That made me go from 88k to 74k. But I still have duplicates. They have different times because some were posted in my galleries. They have different sizes because some were thumbnails. They have different names because some were exported and sent via mail. And some are more odd, or perhaps a combination of them all. But in 74k photos, finding duplicates and deciding which one to keep is hard!

I have made a solution: a little Python script that will go through the Lightroom database, generate a 9x9 thumbnail of the photo, and compare it to all other photos. It takes a couple of hours to run on my 74k photos, helped me clean out 2k duplicates with only two false positives. That’s not bad!

What it does is that it sets the label with a string representing the thumbnail, and then you sort your grid view by label and voila, you’re good to go. Since it goes for the raw files, it will find duplicates even if they have been corrected or worked on afterwards:

Another example is that if you’ve changed the colours a bit around, it will still find it:

So that’s all very nice. Here’s the source code, under BSD license. Put it in your Lightroom directory together with Lightroom.lrdata. And oh, btw, if it blows up anything at all, do tell me, but don’t hold me responsible. This hasn’t been tested on much. But if you read the code, I think you’ll find it can do very limited harm

Challenges ahead:

• RAW files not supported yet
• Doesn’t work too well on the different size problem, must find a better solution
• Faster run times?

Hope you can use it as well as it helped me

For those of you who attended my bachelor party, be sure to read this article from Eksta Bladet