- A Linux script exists in *[...]/pynovisao/src/util* to help divide images into training, validation and testing datasets. It has not been implemented to the GUI. verificar com diego
- A Linux script exists in *[...]/pynovisao/src/util* to help divide images into training, validation and testing datasets. It has not been implemented to the main GUI. In order to use it, use the folowwing commands:
```
$ cd src/util
...
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@@ -184,7 +182,7 @@ Configure the parameters for the segmentation.
Execute the chosen segmentation method with the desired parameters.
Once Segmented, the user can manually click on the desired segments and they will be saved in data/demo/**name-of-the-class**/**name-of-the-image**_**number-of-the-segment**.tif.
#Assign using labeled image (Shortcut: Ctrl + L)
ver com o diego.
Use a mask/bicolor image created using a labelling software (LabelMe/LabelImg) and applies it to the original/selected image, and generates all the correct segments inside such mask.
#Execute folder (Shortcut: Not Defined)
Same as the Execute command, however it realizes the segmentation on an entire folder at once.
#Create .XML File (Shortcut: Not Defined)
...
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@@ -229,7 +227,14 @@ Execute the current classifier over the currently selected image.
Same as the previous command, however executes all the image files inside a selected folder at once.
##Experimenter
ver com diego
#Ground Truth (Shortcut: Not Defined)
Utilizes the currently selected image as the ground truth for the experimentations.
#Execute Graphical Confusion Matrix (Shortcut: Not Defined)
For each classifier, creates a graphic with it's confusion matrix for the choen dataset.
#Cross Validation (Shortcut: Ctrl + X)
Performs cross validation utilizing the previously experimented classifiers.
#Experimenter All (Shortcut: Ctrl + P)
Runs all Weka classifiers and experiments with them.
