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README.md

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Installation

Install from source:

pip install --upgrade .

Install from pip:

pip install --upgrade silicon-analyser

Information

Side note

Bad project name decisions might lead people to this project.

Maybe you are looking for SiliconAnalysis instead?

I'm sorry for that but I can't figure out any new project name (yet).

Acceleration

The code will use your graphic card for acceleration. (but only if correct pytorch is installed, see "Additional info" below)

Frameworks/Libraries used:

Small example

  • start
  • select image
  • add grid
  • press mouse down on image and drag your rectangle for your grid
  • adjust x,y,cols,rows,width,height manualy to fit
  • add label (while grid is selected)
    • give it a random name
  • with that label selected, select cells for that label (for example cells that mark a "1")
  • select grid (for example "grid_0" again)
  • add another label (while grid is selected)
    • give it a random name
  • with that label selected, select cells for that label (for example cells that mark a "0")
  • with enough "1" and "0" labels drawn, click the "Compute" button
    • ai will find images in the grid that have the same properties
    • click "stop" once the results are satisfied
      • maximum for "acc" and "val_acc" is 1.00, the closer you are to those values, the better are the results
      • results depend on many factors:
        • the amount of cells you selected
        • how good your grid matches the current image
        • the quality of your image
        • ...
      • "acc" stands for "accuracy", "val" for "validation"
  • found ai-cells will be drawn green

Additional info

  • you might need to install cuda-specific PyTorch for accelerated computing
    • check your graphic driver version for compatible cuda version!
  • Computation (currently) only happens based on active/visible grid cells (don't be fooled by accuracy of 1 just because you have only 1 label active - just activate all and use compute)

Command line

For automatically opening a file, you can pass the filepath as a filename. For example: silicon-analyser c:\my_files\image.png But keep in mind, that the program currently needs to create files in its current working directory (grid.json, rect.json).

Keys

  • Use up/down/left/right to navigate
  • Hold shift to move faster
  • Scroll-wheel to zoom out
  • Click on minimap to get directly to a position
  • Right click on tree-items (left navigation menu) for additional options
  • Hold down middle mouse button, to move across the screen
    • (behaviour might change in future, currently it does not behave as expected)

image

TODO

  • undo option
  • maybe use a real db in background
  • some method to autofit grid
  • performance improvements
  • option for compute to continue from last training (currently starts fresh training)
  • show loading screen on start (pytorch with cuda support takes a bit to load)
  • ai-model configuration
  • project management (project-file/-folder)
  • possibility to rotate grid
  • maybe store your model on a public place? (for others to use)