Use cecill license

dan/datasets/extract/utils.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import itertools
 import logging

dan/datasets/tokens/__init__.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 """
 Generate the YAML file containing entities and their token(s) to train a DAN model

dan/datasets/tokens/generate.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 from pathlib import Path
 from typing import Iterable

dan/datasets/utils.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import re
 

dan/ocr/__init__.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 """
 Train a new DAN model.

dan/ocr/decoder.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 
 from typing import Dict, List

dan/ocr/encoder.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import random
 

dan/ocr/evaluate.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 """
 Evaluate a trained DAN model.

dan/ocr/manager/__init__.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C

dan/ocr/manager/dataset.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import copy
 import json

dan/ocr/manager/metrics.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import re
 from collections import defaultdict

dan/ocr/manager/ocr.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import pickle
 import random

dan/ocr/manager/training.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import logging
 import os

dan/ocr/mlflow.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import functools
 import logging

dan/ocr/predict/__init__.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 """
 Predict on an image using a trained DAN model.

dan/ocr/predict/attention.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import logging
 import re

dan/ocr/predict/inference.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 
 import json

dan/ocr/schedulers.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import numpy as np
 from torch.nn import Dropout, Dropout2d

dan/ocr/train.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 import json
 import logging

dan/ocr/transforms.py

+# Copyright Teklia (contact@teklia.com) & Denis Coquenet
+# This code is licensed under CeCILL-C
+
 # -*- coding: utf-8 -*-
 """
 Each transform class defined here takes as input a PIL Image and returns the modified PIL Image