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t-snepointselector's Issues

Awkward zoom

Zooming should always increase one zoom level towards what is currently the center of the window. This functionality is handled inside of src/NavTransformer.cpp and w/ functions being called inside ofApp::draw(). Problem areas include:

  • void NavTransformer::begin()
    {
    ofPushMatrix();
    ofTranslate(-_scale_offset);
    ofTranslate(-_offset);
    ofScale(ofGetWidth() * _scale, ofGetHeight() * _scale, 0);
    }
  • void NavTransformer::mouseScrolled(ofMouseEventArgs &args)
    {
    // float scrollSpeed = 0.1;
    _scale = args.scrollY == 1 ? _scale * 2.0 : _scale * 0.5;
    _scale_offset.x = (ofGetWidth() * 0.5) * (_scale - 1);
    _scale_offset.y = (ofGetHeight() * 0.5) * (_scale - 1);
    }

Fixes to this will likely require updates to:

  • ofPoint NavTransformer::toDataSpace(ofPoint p)
    {
    p += _scale_offset + _offset;
    p /= (ofPoint(ofGetWidth(), ofGetHeight()) * _scale);
    return p;
    }
    ofPoint NavTransformer::fromDataSpace(ofPoint p)
    {
    p -= _scale_offset + _offset;
    p *= (ofPoint(ofGetWidth(), ofGetHeight()) * _scale);
    return p;
    }

EXC_BAD_ACCESS Error Message

Hi, brangerbriz!

I solved the problem. It's occurred by the absence of some midi files so that it doesn't match files and .json points. I closed the issue, Thank you.

...........................................................................................................................
I build t-SNEPointSelector well, but when I click a point (midi file) the error message occurred.

Thread 1: EXC_BAD_ACCESS (code=1, address=0x29970)

File name : DataHandler.cpp
string DataHandler::getMidiIdentifier(int index)
{
return _fileIdentifiers[index];
}

Do you have any idea about this?
Your help will be very helpful. Thanks in advance.

CSV data formats

  • Features csv with id as first column and n features as the rest of the columns
  • t-SNE csv with id as first column and and x, y[, z] as the rest of the columns
  • Labels csv with first column as id and second column as label. (used for cluster labeling)
  • KNN csv with id as first column (multiples allowed), neighbor id as next column, and cosine similarity value as third column.

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