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Releases: rifqiharrys/sdb_gui

SDB GUI 4.0.0

03 Mar 04:36
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Release Note

What's Changed

  • Refactor and enhance SDB module with updated documentation and examples in #12
  • Add stop processing button and update documentation in #13
  • Create SDB library to simplify processing in the GUI. Also this made processing without GUI possible
  • Change how to process image/raster file from using rasterio to using xarray
  • Notebook examples (not available in release)

Git Usage

  • Add git branches to differentiate working process
  • Working new update in development
  • Working new release in release

Full Changelog: v3.6.1...v4.0.0

SDB GUI 3.6.1

23 Apr 08:14
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Release Note

  • Remove Auto Negative Sign option and replace it with depth direction assignment on main window
  • Add depth direction option on data save window

SDB GUI 3.5.1

15 Jan 04:01
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Release Note

  • Add train data selection based on attribute selection in addition to random selection (based on percentage)
  • Add new field containing depth values of the output DEM to its corresponding points in test data file
  • Add report containing RMSE, MAE, and R squared calculation using generated depth from train data and real depth value from test data (result accuracy) in addition to calculation using generated depth from test data and real depth value from test data (model performance)
  • Saving scatter plot using executable file now works (surprisingly)

SDB GUI 3.4.1

07 Aug 08:24
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This update comes with an ability to generate a scatter plot of the result.

However, the executable version could not generate the plot without getting the GUI terminated itself.
I found that the problem comes from generating executable file using auto-py-to-exe with matplotlib inside the source code.
Unfortunately, the problem has not been solved yet and if you want to generate a scatter plot of the result, please use the source code instead of the executable file.

SDB GUI 3.3.2

02 Dec 08:26
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Bug fixes on possible error while importing raster data containing -inf or inf values inside its array

SDB GUI 3.3.1

18 Jan 07:36
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New update features:

  • Exclude points which are out of image boundary. This feature can be turned on (default) or off in Processing Options. It is recommended to turn this feature off when the depth sample points are inside the image boundary to save some time (seconds).
  • Replace null values in the image with -999.0 value to avoid error when loading image with some null values. Remove null values from from features after point sampling so it does not included in model fitting and depth prediction. (See Workflow).
  • Change SVM default kernel to rbf instead poly because it is faster.

Also, there are now two notebooks. One of which is explaining the workflow without excluding points, and the other one explaining the workflow by excluding out of bound points.

SDB GUI 3.2.1

08 Oct 05:35
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New update featuring

  • Export of training and testing data split in ESRI Shapefile or CSV format
  • Choose whether to save DEM prediction result or not

SDB GUI 3.1.2

24 Aug 16:09
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Minor update on file selection. While user selecting file, it will open the latest directory opened using SDB GUI

SDB GUI 3.1.1

25 Mar 14:12
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Bug fixes on SVM option. The polynomial degree input didn't get into process in the former releases, but showing change on report because of user change it to other values even though the value didn't get processed.

SDB GUI 3.1.0

17 Mar 04:45
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  • New Processing Options button which control overall processing workflow instead of only selected method (except Random State). The options are Parallel Backend selection, Processing Core number (n jobs), Random State, and Auto Negative Sign CheckBox. Random State control the randomness of splitting train and test data. Auto Negative Sign Check Box will allow user to disable automatic minus-ing depth sample while most of the depth sample is positive. Please refer to joblib.parallel_backend to see details of Parallel Backend and Processing Core number (n jobs).
  • Applying different and faster method of extracting raster values of a certain depth point sample based on its coordinate.
  • Format filtering of sample data, so only point type of ESRI Shapefile is allowed.
  • Bootstrap option enabled on random forest method