silicon-analyser 1.0.0

helps to analyse integrated circuit die images (for example from siliconpr0n.org) with the help of ai.

Installation

pip install .

Information

Code will use your graphic card for acceleration.

Frameworks/Libraries used:

• PyQt5
• PyTorch
• Keras
• PyQtGraph

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

TODO

• export of ai-cells as csv or bit-image
• auto-compute to calculate in background while you are selecting new cells for your labels
• possibility to rotate grid
• maybe store your model on a public place? (for others to use)