This is my output of trainverctorclassifier : model.rf
%YAML:1.0
my_random_trees: !!opencv-ml-random-trees
nclasses: 1
nsamples: 41521
nactive_vars: 2
oob_error: 0.
ntrees: 1
is_classifier: 1
var_all: 5
var_count: 5
ord_var_count: 5
cat_var_count: 0
training_params:
use_surrogates: 0
max_categories: 10
max_depth: 5
min_sample_count: 10
cross_validation_folds: 0
priors: !!opencv-matrix
rows: 1
cols: 1
dt: d
data: [ 1. ]
var_type: [ 0, 0, 0, 0, 0 ]
cat_count: !!opencv-matrix
rows: 1
cols: 1
dt: i
data: [ 1 ]
cat_map: !!opencv-matrix
rows: 1
cols: 1
dt: i
data: [ 0 ]
trees:
-
best_tree_idx: -1
nodes:
-
depth: 0
sample_count: 41521
value: 0.
norm_class_idx: 0
Tn: 0
complexity: 0
alpha: 0.
node_risk: 0.
tree_risk: 0.
tree_error: 0.
Why does it detect only one class? my training vector has 8 classes.
On Friday, February 10, 2017 at 2:40:46 PM UTC-3:30, [email protected]
wrote:
>
> Hi all,
>
> I have been working on OTB for a while, and now, I want to do some
> classification. I have followed the steps mentioned on the page below, but
> the result that I get is a large black image that has no useful data and
> apparently somewhere in the steps something went wrong, I assume.
>
> https://www.orfeo-toolbox.org/CookBook/recipes/pbclassif.html
>
> In the steps explained above, I should mention that no where in the
> workflow I was told to import my shape file from the segmentation which I
> got it before doing classification. I only worked on the input *.tif file
> and the training vector (shape file) which has some classes defined inside
> it(=ground truth). This is one of the things that I think I am missing. And
> if we shouldn't use the output(shape file) of our segmentation, what was
> the use of the segmentation being done earlier.
>
> To recap:
> I have the following files ready to start my classification:
> 1) an input image( a 5 band GeoTiff file)
> 2) a shape file (which I got from the segmentation application of OTB) =
> this file is not used the above steps.
> 3) a training shape file (which is telling me about the existing classes
> on the main input image)
>
> I was wondering if you guys could help me. Is there any other materials
> available that explains the workflow or a video tutorial for instance?
>
> I am also working on a Windows 64 bit.
>
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