Curiosity Image Retrieval Tools, scripts and software |
Curiosity Image Retrieval Tools, scripts and software |
Aug 11 2012, 09:18 AM
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#1
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Member Group: Members Posts: 270 Joined: 29-December 04 From: NLA0: Member No.: 133 |
I wrote a shell script that allows you to download all images from a given sol.:
http://paranoid.dechengst.nl/files/MSLget.sh There are two rm commands in the script to clean up the tempdir. If you're afraid my script screws up your system replace them with rm -i commands. If you want any features added please let me know and I'll see what I can do. EDIT1: Added leading zeros in the directory names for easy sorting after a request for it on IRC. EDIT2: I see a lot of people downloading the script. To be clear: This is a script for *NIX systems and won't run on a standard Windows box. To get it running under Windows you need to install a *NIX environment like Cygwin. Your other option would be to install something like Ubuntu in VirtualBox. EDIT3: As RoverDriver pointed out you need to have wget on your system to use this script. The script now handles this gracefully. -------------------- PDP, VAX and Alpha fanatic ; HP-Compaq is the Satan! ; Let us pray daily while facing Maynard! ; Life starts at 150 km/h ;
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Aug 15 2012, 11:32 PM
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#2
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Member Group: Admin Posts: 976 Joined: 29-September 06 From: Pasadena, CA - USA Member No.: 1200 |
If I may suggest something, I think it would be critical to also have a database linking specific features and observations to specific documentation images. You have no idea of how many hours I have spent on MER trying to track images pertaining certain events because I did not have them indexed. With a larger science package and longer expected mission duration it will be a nightmare to keep everything organized on MSL.
Things I had been asked to trace were: 1) when was the first/last time some activity happened 2) how many timed did we do some activity 3) when did a specific event/anomaly happened 4) when was the anomaly resolved or a workaround put in place 5) find where and when did we cross a specific type of terrain 6) do we have images of a specific feature/location These sort of things and you can extrapolate similar queries from the science perspective. Unfortunately, I'm not really a database guy so I do not have specific suggestions on how to handle this, but the sooner we start keeping track of things the better we are off. Even if later on we need to transition to other methods or architectures I think it is best to start doing something now. What do you guys (and gals) think? Paolo -------------------- Disclaimer: all opinions, ideas and information included here are my own,and should not be intended to represent opinion or policy of my employer.
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Aug 16 2012, 09:21 AM
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#3
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Senior Member Group: Members Posts: 1465 Joined: 9-February 04 From: Columbus OH USA Member No.: 13 |
If I may suggest something, I think it would be critical to also have a database linking specific features and observations to specific documentation images. Since that requires a lot of analysis and input by people, the first thing that comes to mind is some kind of photo-tagging system a la flickr. It's a lot of work to come up with meaningful and comprehensive tags, so crowdsourcing would be the way to go? Of course then there's the issue of consistency, etc. I thought it was a little surprising how JPL described the process of the team mapping the quadrangles (like "Yellowknife"). They said they farmed out the quadrangles individually to "volunteers" who marked up the various kinds of terrain. For one thing, why "volunteers" rather than just a team tasked to do that job? Also, wouldn't there be inconsistency in how people interpret the HiRISE images? But I guess such crowdsourcing works, given a population of motivated people. -------------------- |
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Aug 16 2012, 08:17 PM
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#4
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Member Group: Members Posts: 646 Joined: 23-December 05 From: Forest of Dean Member No.: 617 |
Since that requires a lot of analysis and input by people, the first thing that comes to mind is some kind of photo-tagging system a la flickr. It's a lot of work to come up with meaningful and comprehensive tags, so crowdsourcing would be the way to go? Of course then there's the issue of consistency, etc. An early science crowdsourcing experiment/project tackled crater-counting on Mars... ( https://en.wikipedia.org/wiki/Clickworkers#...Martian_craters ) Galaxy Quest tackles the consistency problem with a tutorial and tests that must be passed before a volunteer can tackle real data: http://www.galaxyzoo.org/how_to_take_part . -------------------- --
Viva software libre! |
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