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 --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)
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)
Project details
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