Changes between Version 16 and Version 17 of GSoC/2016/Additional_segmentation_algorithms/weekly_report
- Timestamp:
- May 30, 2016, 8:01:47 AM (8 years ago)
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GSoC/2016/Additional_segmentation_algorithms/weekly_report
v16 v17 17 17 == 16 – 21 May week 0: Setup coding environmental, get familiar with programming manual == 18 18 === What did you get done this week? === 19 * Finished A small exercise too get more familiar with basic GRASS code 19 * Finished A small exercise too get more familiar with basic GRASS codes 20 20 Because currently i.segment only provides one algorithm, the entire layout of the module GUI is related to that one algorithm. By modifying the codes in [https://trac.osgeo.org/grass/browser/sandbox/bo/i.segment.gsoc2016/i.segment/parse_args.c parse_args.c] I added three inputs in the Required tab, then one tab per algorithm with algorithm-specific parameters. 21 21 … … 34 34 * Some issues happened during the compiling of the GRASS in Windows environmental. but with the help of community, [https://lists.osgeo.org/pipermail/grass-dev/2016-May/080332.html the problem] was later solved. 35 35 36 == 23 - 28 May week 1: Start coding, develop pseudo 36 == 23 - 28 May week 1: Start coding, develop pseudo-code to outline the work == 37 37 38 38 === What did you get done this week? === … … 42 42 * Got the access for GRASS-addons-svn and [https://trac.osgeo.org/grass/browser/sandbox/bo/i.segment.gsoc2016 sandbox] 43 43 44 * Finished the [https://trac.osgeo.org/grass/browser/sandbox/bo/i.segment.gsoc2016/i.segment/MeanShift_pseudo_yb pseudo 44 * Finished the [https://trac.osgeo.org/grass/browser/sandbox/bo/i.segment.gsoc2016/i.segment/MeanShift_pseudo_yb pseudo-code] for the mean-shift algorithm 45 45 46 * Mentors reviewed pseudo 46 * Mentors reviewed pseudo-code and send the improved [https://trac.osgeo.org/grass/browser/sandbox/bo/i.segment.gsoc2016/i.segment/MeanShift_pseudo_2016_05_25_MM version] 47 47 48 48 49 49 === What do you plan on doing next week? === 50 * Write the MeanShift .c to implement the meanshift algorithm based on pseudo codes. there will be two parts, the mean-shift filtering part will be write based on the pseudo codes, and the second part--clustering to super-pixel will use some part of r.clump.50 * Write the MeanShift c codes to implement the meanshift algorithm based on pseudo-code. there will be two parts, the mean-shift filtering part will be write based on the pseudo codes, and the second part--clustering to super-pixel will use some part of r.clump. 51 51 === Are you blocked on anything? === 52 52 *