[to #42322933]add copyright info

添加ocr部分代码的copyright信息
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10342392

modelscope/pipelines/cv/ocr_utils/model_convnext_transformer.py

@@ -1,3 +1,4 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
 import torch
 import torch.nn as nn
 

modelscope/pipelines/cv/ocr_utils/model_resnet_mutex_v4_linewithchar.py

@@ -1,3 +1,5 @@
+# Part of the implementation is borrowed and modified from SegLink,
+# publicly available at https://github.com/bgshih/seglink
 import tensorflow as tf
 
 from . import ops, resnet18_v1, resnet_utils

modelscope/pipelines/cv/ocr_utils/ocr_modules/convnext.py

@@ -1,11 +1,5 @@
-""" Contains various versions of ConvNext Networks.
-ConvNext Networks (ConvNext) were proposed in:
-  Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell and Saining Xie
-  A ConvNet for the 2020s. CVPR 2022.
-Compared to https://github.com/facebookresearch/ConvNeXt,
-we obtain different ConvNext variants by changing the network depth, width,
-feature number, and downsample ratio.
-"""
+# Part of the implementation is borrowed and modified from ConvNext,
+# publicly available at https://github.com/facebookresearch/ConvNeXt
 import torch
 import torch.nn as nn
 import torch.nn.functional as F

modelscope/pipelines/cv/ocr_utils/ocr_modules/timm_tinyc.py

@@ -1,7 +1,5 @@
-'''Referenced from rwightman's pytorch-image-models(timm).
-Github: https://github.com/rwightman/pytorch-image-models
-We use some modules and modify the parameters according to our network.
-'''
+# Part of the implementation is borrowed and modified from timm,
+# publicly available at https://github.com/rwightman/pytorch-image-models
 import collections.abc
 import logging
 import math

modelscope/pipelines/cv/ocr_utils/ocr_modules/vitstr.py

@@ -1,10 +1,5 @@
-""" Contains various versions of ViTSTR.
-ViTSTR were proposed in:
-  Rowel Atienza
-  Vision transformer for fast and efficient scene text recognition. ICDAR 2021.
-Compared to https://github.com/roatienza/deep-text-recognition-benchmark,
-we obtain different ViTSTR variants by changing the network patch_size and in_chans.
-"""
+# Part of the implementation is borrowed and modified from ViTSTR,
+# publicly available at https://github.com/roatienza/deep-text-recognition-benchmark
 from __future__ import absolute_import, division, print_function
 import logging
 from copy import deepcopy

modelscope/pipelines/cv/ocr_utils/ops.py

@@ -1,3 +1,5 @@
+# Part of the implementation is borrowed and modified from SegLink,
+# publicly available at https://github.com/bgshih/seglink
 import math
 import os
 import shutil

modelscope/pipelines/cv/ocr_utils/resnet18_v1.py

@@ -1,3 +1,17 @@
+# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
 """Contains definitions for the original form of Residual Networks.
 The 'v1' residual networks (ResNets) implemented in this module were proposed
 by:

modelscope/pipelines/cv/ocr_utils/resnet_utils.py

@@ -1,3 +1,17 @@
+# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
 """Contains building blocks for various versions of Residual Networks.
 Residual networks (ResNets) were proposed in:
   Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

modelscope/pipelines/cv/ocr_utils/utils.py

@@ -1,3 +1,4 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
 import cv2
 import numpy as np