helps to analyse integrated circuit die images (for example from siliconpr0n.org) with the help of ai.
Project description
Installation
Install from source:
pip install .
Install from pip:
pip install silicon-analyser
Information
Code will use your graphic card for acceleration.
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
TODO
- export of ai-cells as 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)
Project details
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