Difference between revisions of "Proj-2015-2016-Astroimage/Fiche"

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(Created page with "'''Subject:''' Astroimage ''' Supervisors: ''' * Olivier Richard * Bruno Bzeznik ''' Students: ''' * Quentin GERRY (RICM4) * Nicolas BLANC (RICM4) * Coralie RACHEX ...")
 
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== Subject summary ==
 
== Subject summary ==
  +
−
Interactive terminal to welcome deaf or hearing impaired people.
  
−
Transcription of speech into text.
  
−
Allows deaf people to understand better the reception staff.
  
   
   
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=== Work done ===
  
=== Work done ===
−
Confirmation of the project choice
 +
Confirmation of the project choice.
  +
Searches on the image processing.
   
 
=== Problems faced ===
  
=== Problems faced ===
−
The meeting with Bruno Bzeznik is scheduled for the next week. Having only few informations on the project, we can't really progress.
 +
The meeting with Bruno Bzeznik is scheduled for the next week. Having only little information on the project, we can't really progress.
  +
We find little information about the astronomical image processing and we haven't a lot of details to direct our searches.
   
   
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=== Objectives ===
  
=== Objectives ===
  +
* We need to get more information concerning the project, to be able to begin to think about its implementation.
−  
   
 
=== Work done ===
  
=== Work done ===
−
Project requirements (SRS)
 +
[[AstroImage/SRS | '''SRS''']]: Project requirements (SRS)
⚫
[[Projets-2015-2016-Borne-Interactive/UML_Diagrams| '''UML Diagrams''']]: Use Case, Sequence and state diagrams.
  
   
 
=== Problems faced ===
  
=== Problems faced ===
  +
The astronomical image processing in python seems much more complicated than in other language (reading of a .RAW image in particular).
  +
This project seems to be very long to realize and we have to make choice about the priority functions of software.
   
   
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=== Objectives ===
  
=== Objectives ===
  +
Researching :
−
Make an appointment with project tutors to show the first prototypes.
  
  +
* The .FITS file format
  +
* The .RAW file format
  +
* Library python about the astronomical images processing or the images processing
  +
* Python
   
 
=== Work done ===
  
=== Work done ===
  ⚫
[[Media:AstroImage-UML.pdf | '''UML''']]: Use Case, Sequence and state diagrams.
−
First prototypes:
  
−
* Communication between two windows
  
−
* Discovery of Web Speech API
  
   
 
=== Problems faced ===
  
=== Problems faced ===
  +
Books about the astronomical image processing which we found speak only about the use of the existing software. It's difficult to find algorithms for the astronomical images processing.
−
How to communicate between two windows
  
  +
Library Python aren't adapted to our needs. So, we must start from scratch.
   
   
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=== Objectives ===
  
=== Objectives ===
  +
We have to continue our search and begin to code the functions allowing to process the RAW images and FITS
−
Appointment with project tutors to talk about the UI and the functionalities the application should offer
 
−
Write appointment debrief.
  
   
 
=== Work done ===
  
=== Work done ===
 
* Design patterns
  
* Design patterns
  +
* Functions allowing to treat the images .RAW and .FITS
−
* Assistance provided to the group working on the project "Sous-titre en temps réel d'un cours"
  
   
 
=== Problems faced ===
  
=== Problems faced ===
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=== Objectives ===
  
=== Objectives ===
  +
We have to continue our search and begin to code the image processing functions
−
Final sprint backlog (Item product backlog, Task, State => Slide 50 Scrum) => Sprint backlog meeting
  
   
 
=== Work done ===
  
=== Work done ===
  +
Image processing functions :
−
* Appointment with project tutors to talk about the UI and functionality the application should offer.
  
  +
* Saturation
−  
  +
* Contrast
−
* Scrum steps: [https://docs.google.com/spreadsheets/d/1ju8rEWwl77wDPqDEkmqMxTH4U9BsyunIrLwkDhvFb3Y/edit?usp=sharing Scrums documents]
  
  +
* Denoising
−
** Product backlog
  
−
** Users Stories
  
   
 
=== Problems faced ===
  
=== Problems faced ===
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=== Objectives ===
  
=== Objectives ===
  +
We have to continue our search and begin to code the astronomical image processing functions
   
 
=== Work done ===
  
=== Work done ===
  +
Astronomical image processing functions :
  +
* MasterBias
  +
* MasterDark
  +
* MasterFlat
   
 
=== Problems faced ===
  
=== Problems faced ===

Revision as of 15:07, 5 March 2016

Subject: Astroimage

Supervisors:

  • Olivier Richard
  • Bruno Bzeznik

Students:

  • Quentin GERRY (RICM4)
  • Nicolas BLANC (RICM4)
  • Coralie RACHEX (RICM4)


Subject summary

Week 1 (January 11th - January 17th)

Objectives

  • Choice of the workgroup
  • Choice of the subject

Work done

Workgroup chose Selection of project in progress

Problems faced

Not priority subject Few details of the project


Week 2 (January 18th - January 24th)

Objectives

  • Defend our project choice
  • Contact Bruno Bzeznik for more details
  • Inquire about the techniques of astronomical image processings and about the existing software

Work done

Confirmation of the project choice. Searches on the image processing.

Problems faced

The meeting with Bruno Bzeznik is scheduled for the next week. Having only little information on the project, we can't really progress. We find little information about the astronomical image processing and we haven't a lot of details to direct our searches.


Week 3 (January 25th - January 31st)

Objectives

  • We need to get more information concerning the project, to be able to begin to think about its implementation.

Work done

SRS: Project requirements (SRS)

Problems faced

The astronomical image processing in python seems much more complicated than in other language (reading of a .RAW image in particular). This project seems to be very long to realize and we have to make choice about the priority functions of software.


Week 4 (February 1st - February 7th)

Objectives

Researching :

  • The .FITS file format
  • The .RAW file format
  • Library python about the astronomical images processing or the images processing
  • Python

Work done

UML: Use Case, Sequence and state diagrams.

Problems faced

Books about the astronomical image processing which we found speak only about the use of the existing software. It's difficult to find algorithms for the astronomical images processing. Library Python aren't adapted to our needs. So, we must start from scratch.


Week 5 (February 8th - February 14th)

Objectives

We have to continue our search and begin to code the functions allowing to process the RAW images and FITS

Work done

  • Design patterns
  • Functions allowing to treat the images .RAW and .FITS

Problems faced

Week 6 (February 15th - February 21st)

Objectives

We have to continue our search and begin to code the image processing functions

Work done

Image processing functions :

  • Saturation
  • Contrast
  • Denoising

Problems faced

Week 7 (February 29th - March 6th)

Objectives

We have to continue our search and begin to code the astronomical image processing functions

Work done

Astronomical image processing functions :

  • MasterBias
  • MasterDark
  • MasterFlat

Problems faced

Week 8 (March 7th - March 13th)

Objectives

Work done

Problems faced

Week 9 (March 14th - March 20th)

Objectives

Work done

Problems faced

Week 10 (March 21st - March 27th)

Objectives

Work done

Problems faced

Week 11 (March 28th - April 3rd)

Objectives

Work done

Problems faced

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