# Automated carbide detection (carde)
Tool to detect carbides in scanning electron micrographs of steel.
During the production and heat treatment of steel, carbides with a size ranging between 10 nm up to a few µm precipitate in the steel matrix. While the carbides contribute to the steels yield strength, the largest carbides can be responsible for crack initiation leading to brittle fracture. Thus, a detailed quantitative description of carbides (e.g. number density, size distribution etc.) in a steel is of great interest.
On a polished sample, carbides can be observed using a scanning electron microscope (SEM). In the present case, SEM micrographs of a reactor pressure vessel steel have been recorded, in which carbides can be recognized.
## Installation
Create and activate a virtual environment with venv
```
python -m venv .carde-venv
source .carde-venv/bin/activate
```
Install carde and all required dependencies
```
pip install carde
```
## Usage
Please refer to the example notebooks
* [process a folder of images](https://chekhonin-automatic-carbide-detection-haicu-vouc-1d7a37eb51de28.pages.hzdr.de/notebooks/process_image_folder.html)
* [how the segmentation works](https://chekhonin-automatic-carbide-detection-haicu-vouc-1d7a37eb51de28.pages.hzdr.de/notebooks/classic_ml_segmentation.html)
## Documentation
https://chekhonin-automatic-carbide-detection-haicu-vouc-1d7a37eb51de28.pages.hzdr.de/
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"description": "# Automated carbide detection (carde)\n\nTool to detect carbides in scanning electron micrographs of steel.\n\nDuring the production and heat treatment of steel, carbides with a size ranging between 10 nm up to a few \u00b5m precipitate in the steel matrix. While the carbides contribute to the steels yield strength, the largest carbides can be responsible for crack initiation leading to brittle fracture. Thus, a detailed quantitative description of carbides (e.g. number density, size distribution etc.) in a steel is of great interest.\nOn a polished sample, carbides can be observed using a scanning electron microscope (SEM). In the present case, SEM micrographs of a reactor pressure vessel steel have been recorded, in which carbides can be recognized.\n\n## Installation\n\nCreate and activate a virtual environment with venv\n\n```\npython -m venv .carde-venv\nsource .carde-venv/bin/activate\n```\n\nInstall carde and all required dependencies\n```\npip install carde\n```\n\n## Usage\n\nPlease refer to the example notebooks\n\n* [process a folder of images](https://chekhonin-automatic-carbide-detection-haicu-vouc-1d7a37eb51de28.pages.hzdr.de/notebooks/process_image_folder.html)\n* [how the segmentation works](https://chekhonin-automatic-carbide-detection-haicu-vouc-1d7a37eb51de28.pages.hzdr.de/notebooks/classic_ml_segmentation.html)\n\n\n## Documentation\n\nhttps://chekhonin-automatic-carbide-detection-haicu-vouc-1d7a37eb51de28.pages.hzdr.de/\n",
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