# 🏛️ roofAI
everything AI about roofs. 🏛️
```bash
pip install roofAI
```
```mermaid
graph LR
dataset_ingest["roofAI<br>dataset<br>ingest<br>source=AIRS|CamVid<br><dataset-object-name>"]
dataset_review["roofAI<br>dataset<br>review -<br><dataset-object-name>"]
semseg_train["semseg<br>train -<br><dataset-object-name><br><model-object-name>"]
semseg_predict["semseg<br>predict -<br><model-object-name><br><dataset-object-name><br><prediction-object-name>"]
AIRS["AIRS"]:::folder
CamVid["CamVid"]:::folder
dataset_object_name["dataset object"]:::folder
model_object_name["model object"]:::folder
prediction_object_name["prediction object"]:::folder
terminal["💻 terminal"]:::folder
AIRS --> dataset_ingest
CamVid --> dataset_ingest
dataset_ingest --> dataset_object_name
AIRS --> dataset_review
dataset_object_name --> dataset_review
dataset_review --> terminal
dataset_object_name --> semseg_train
semseg_train --> model_object_name
model_object_name --> semseg_predict
dataset_object_name --> semseg_predict
semseg_predict --> prediction_object_name
classDef folder fill:#999,stroke:#333,stroke-width:2px;
```
| | |
| --- | --- |
| 🏛️[`datasets`](https://github.com/kamangir/roofAI/blob/main/roofAI/dataset) [](https://github.com/kamangir/roofAI/blob/main/roofAI/dataset) Semantic Segmentation Datasets | 🏛️[`semseg`](https://github.com/kamangir/roofAI/blob/main/roofAI/semseg) [](https://github.com/kamangir/roofAI/blob/main/roofAI/semseg) A Semantic Segmenter based on [segmentation_models.pytorch](<https://github.com/qubvel/segmentation_models.pytorch/blob/master/examples/cars%20segmentation%20(camvid).ipynb>). |
---
[](https://github.com/kamangir/roofAI/actions/workflows/pylint.yml) [](https://github.com/kamangir/roofAI/actions/workflows/pytest.yml) [](https://github.com/kamangir/roofAI/actions/workflows/bashtest.yml) [](https://pypi.org/project/roofAI/) [](https://pypistats.org/packages/roofAI)
built by 🌀 [`blue_options-4.190.1`](https://github.com/kamangir/awesome-bash-cli), based on 🏛️ [`roofAI-5.99.1`](https://github.com/kamangir/roofAI).
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