Add model and configuration files

README.md

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 ---
+library_name: Doc-UFCN
 license: mit
+tags:
+- Doc-UFCN
+- PyTorch
+- Object detection
+metrics:
+- IoU
+- F1
+- AP@.5
+- AP@.75
+- AP@[.5,.95]
 ---
+
+
+# Hugin-Munin line detection
+
+The Hugin-Munin line detection model predicts text lines from Hugin-Munin document images. This model was developed during the [HUGIN-MUNIN project](https://hugin-munin-project.github.io/).
+
+## Model description
+
+The model has been trained using the Doc-UFCN library on Hugin-Munin document images.
+It has been trained on images with their largest dimension equal to 768 pixels, keeping the original aspect ratio.
+The model predicts two classes: vertical and horizontal text lines.
+
+## Evaluation results
+
+The model achieves the following results:
+
+| set   | class      | IoU   | F1    | AP@[.5] | AP@[.75] | AP@[.5,.95] |
+| ----- | ---------- | ----- | ----- | ------- | -------- | ----------- |
+| train | vertical   | 88.29 | 89.67 | 71.37   | 33.26    | 36.32       |
+|       | horizontal | 69.81 | 81.35 | 91.73   | 36.62    | 45.67       |
+| val   | vertical   | 73.01 | 75.13 | 46.02   | 4.99     | 15.58       |
+|       | horizontal | 61.65 | 75.69 | 87.98   | 11.18    | 31.55       |
+| test  | vertical   | 78.62 | 80.03 | 59.93   | 15.90    | 24.11       |
+|       | horizontal | 63.59 | 76.49 | 95.93   | 24.18    | 41.45       |
+
+## How to use
+
+Please refer to the Doc-UFCN library page (https://pypi.org/project/doc-ufcn/) to use this model.
+
+# Cite us!
+
+```bibtex
+@inproceedings{boillet2020,
+    author = {Boillet, Mélodie and Kermorvant, Christopher and Paquet, Thierry},
+    title = {{Multiple Document Datasets Pre-training Improves Text Line Detection With
+              Deep Neural Networks}},
+    booktitle = {2020 25th International Conference on Pattern Recognition (ICPR)},
+    year = {2021},
+    month = Jan,
+    pages = {2134-2141},
+    doi = {10.1109/ICPR48806.2021.9412447}
+}
+```

line_hugin_munin.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8e6e5e4f272a9b43a98de036c9164fdc522d2780e2e66dd601bde930bb14a950
+size 49115013

parameters.yml

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+---
+version: 0.0.1
+parameters:
+  mean: [209, 204, 191]
+  std: [51, 51, 50]
+  min_cc: 50
+  classes:
+    - background
+    - text_line_horizontal
+    - text_line_vertical
+  input_size: 768