[to #42322933]update license

以下算法进行了header变更：
modelscope.models.cv.cmdssl_video_embedding
modelscope.models.cv.action_recognition 
modelscope.models.cv.animal_recognition
modelscope.models.multi_modal.multi_stage_diffusion
modelscope.models.multi_modal.gemm

modelscope.pipelines.cv.live_category_pipeline
modelscope.pipelines.cv.video_category_pipeline
modelscope.models.cv.image_to_image_translation
modelscope.models.cv.image_to_image_generation

modelscope.models.cv.video_inpainting
modelscope.models.multi_modal.diffusion
modelscope.models.multi_modal.team
modelscope.models.cv.shop_segmentation
modelscope.models.cv.text_driven_segmentation
modelscope.models.cv.action_recognition 


modelscope.models.cv.face_emotion
modelscope.models.cv.hand_static
        Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10268474

modelscope/models/cv/action_recognition/models.py

@@ -1,3 +1,6 @@
+# The implementation is also open-sourced by the authors,
+# and available at https://github.com/alibaba-mmai-research/TAdaConv
+# Copyright 2021-2022 The Alibaba FVI Team Authors. All rights reserved.
 import torch.nn as nn
 
 from .s3dg import Inception3D

modelscope/models/cv/action_recognition/s3dg.py

@@ -1,3 +1,6 @@
+# The implementation is adopted from https://github.com/TengdaHan/CoCLR,
+# made pubicly available under the Apache License, Version 2.0 at https://github.com/TengdaHan/CoCLR
+# Copyright 2021-2022 The Alibaba FVI Team Authors. All rights reserved.
 import torch
 import torch.nn as nn
 

modelscope/models/cv/action_recognition/tada_convnext.py

@@ -1,3 +1,7 @@
+# The implementation is adopted from https://github.com/facebookresearch/ConvNeXt,
+# made pubicly available under the MIT License at https://github.com/facebookresearch/ConvNeXt
+# Copyright 2021-2022 The Alibaba FVI Team Authors. All rights reserved.
+
 import math
 
 import torch

modelscope/models/cv/animal_recognition/resnet.py

@@ -1,3 +1,6 @@
+# The implementation is adopted from Split-Attention Network, A New ResNet Variant,
+# made pubicly available under the Apache License 2.0 License
+# at https://github.com/zhanghang1989/ResNeSt/blob/master/resnest/torch/models/resnet.py
 import math
 
 import torch

modelscope/models/cv/animal_recognition/splat.py

@@ -1,3 +1,6 @@
+# The implementation is adopted from Split-Attention Network, A New ResNet Variant,
+# made pubicly available under the Apache License 2.0 License
+# at https://github.com/zhanghang1989/ResNeSt/blob/master/resnest/torch/models/splat.py
 """Split-Attention"""
 
 import torch

modelscope/models/cv/cmdssl_video_embedding/__init__.py

@@ -1,4 +1,5 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+
 from typing import TYPE_CHECKING
 
 from modelscope.utils.import_utils import LazyImportModule

modelscope/models/cv/cmdssl_video_embedding/c3d.py

@@ -1,3 +1,11 @@
+# Copyright 2022 Davide Abati.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+
+# The implementation here is modified based on c3d-pytorch,
+# originally MIT License, Copyright (c) 2022 Davide Abati,
+# and publicly available at https://github.com/DavideA/c3d-pytorch
+""" C3D Model Architecture."""
+
 import torch
 import torch.nn as nn
 

modelscope/models/cv/cmdssl_video_embedding/resnet2p1d.py

@@ -1,3 +1,11 @@
+# Copyright (c) 2022 Kensho Hara.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+
+# The implementation here is modified based on 3D-ResNets-PyTorch,
+# originally MIT License, Copyright (c) 2022 Kensho Hara,
+# and publicly available at https://github.com/kenshohara/3D-ResNets-PyTorch/blob/master/models/resnet2p1d.py
+""" ResNet2plus1d Model Architecture."""
+
 import torch
 import torch.nn as nn
 

modelscope/models/cv/cmdssl_video_embedding/resnet3d.py

@@ -1,3 +1,11 @@
+# Copyright (c) 2022 Kensho Hara.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+
+# The implementation here is modified based on 3D-ResNets-PyTorch,
+# originally MIT License, Copyright (c) 2022 Kensho Hara,
+# and publicly available at https://github.com/kenshohara/3D-ResNets-PyTorch/blob/master/models/resnet.py
+""" ResNet3D Model Architecture."""
+
 import torch
 import torch.nn as nn
 

modelscope/models/cv/shop_segmentation/common.py

@@ -1,11 +1,9 @@
-"""
-Base modules are adapted from https://github.com/open-mmlab/mmcv/,
-originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
-https://github.com/open-mmlab/mmsegmentation/,
-originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
-and adapted from https://github.com/raoyongming/DenseCLIP/,
-originally MIT License, Copyright (c) 2022 Rao, Yongming.
-"""
+# Base modules are adapted from https://github.com/open-mmlab/mmcv/,
+# originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
+# https://github.com/open-mmlab/mmsegmentation/,
+# originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
+# and adapted from https://github.com/raoyongming/DenseCLIP/,
+# originally MIT License, Copyright (c) 2022 Rao, Yongming.
 
 import warnings
 

modelscope/models/cv/shop_segmentation/head_fpn.py

@@ -1,11 +1,9 @@
-""" FPNHead
-Base modules are adapted from https://github.com/open-mmlab/mmcv/,
-originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
-https://github.com/open-mmlab/mmsegmentation/,
-originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
-and adapted from https://github.com/raoyongming/DenseCLIP/,
-originally MIT License, Copyright (c) 2022 Rao, Yongming.
-"""
+# Base modules are adapted from https://github.com/open-mmlab/mmcv/,
+# originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
+# https://github.com/open-mmlab/mmsegmentation/,
+# originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
+# and adapted from https://github.com/raoyongming/DenseCLIP/,
+# originally MIT License, Copyright (c) 2022 Rao, Yongming.
 
 import numpy as np
 import torch

modelscope/models/cv/shop_segmentation/models.py

@@ -1,11 +1,9 @@
-"""
-Base modules are adapted from https://github.com/open-mmlab/mmcv/,
-originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
-https://github.com/open-mmlab/mmsegmentation/,
-originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
-and adapted from https://github.com/raoyongming/DenseCLIP/,
-originally MIT License, Copyright (c) 2022 Rao, Yongming.
-"""
+# Base modules are adapted from https://github.com/open-mmlab/mmcv/,
+# originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
+# https://github.com/open-mmlab/mmsegmentation/,
+# originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
+# and adapted from https://github.com/raoyongming/DenseCLIP/,
+# originally MIT License, Copyright (c) 2022 Rao, Yongming.
 
 import math
 from collections import OrderedDict

modelscope/models/cv/shop_segmentation/neck_fpn.py

@@ -1,11 +1,9 @@
-""" FPNneck
-Base modules are adapted from https://github.com/open-mmlab/mmcv/,
-originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
-https://github.com/open-mmlab/mmsegmentation/,
-originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
-and adapted from https://github.com/raoyongming/DenseCLIP/,
-originally MIT License, Copyright (c) 2022 Rao, Yongming.
-"""
+# Base modules are adapted from https://github.com/open-mmlab/mmcv/,
+# originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
+# https://github.com/open-mmlab/mmsegmentation/,
+# originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
+# and adapted from https://github.com/raoyongming/DenseCLIP/,
+# originally MIT License, Copyright (c) 2022 Rao, Yongming.
 
 import torch.nn as nn
 import torch.nn.functional as F

modelscope/models/cv/shop_segmentation/shop_seg_base.py

@@ -1,11 +1,9 @@
-"""
-Base modules are adapted from https://github.com/open-mmlab/mmcv/,
-originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
-https://github.com/open-mmlab/mmsegmentation/,
-originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
-and adapted from https://github.com/raoyongming/DenseCLIP/,
-originally MIT License, Copyright (c) 2022 Rao, Yongming.
-"""
+# Base modules are adapted from https://github.com/open-mmlab/mmcv/,
+# originally Apache 2.0 License, Copyright (c) 2018-2022 OpenMMLab,
+# https://github.com/open-mmlab/mmsegmentation/,
+# originally Apache 2.0 License, Copyright (c) 2020-2021 OpenMMLab,
+# and adapted from https://github.com/raoyongming/DenseCLIP/,
+# originally MIT License, Copyright (c) 2022 Rao, Yongming.
 
 import torch
 import torch.nn as nn

modelscope/models/cv/shop_segmentation/shop_seg_model.py

@@ -1,3 +1,5 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+
 import os.path as osp
 from typing import Any, Dict
 

modelscope/models/cv/shop_segmentation/utils.py

@@ -1,7 +1,6 @@
-""" CLIP Tokenizer
-Adapted from https://github.com/openai/CLIP.
-Originally MIT License, Copyright (c) 2021 OpenAI.
-"""
+# CLIP Tokenizer
+# Adapted from https://github.com/openai/CLIP.
+# Originally MIT License, Copyright (c) 2021 OpenAI.
 
 import gzip
 import html

modelscope/models/cv/text_driven_segmentation/__init__.py

@@ -1 +1,2 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
 from .lseg_base import TextDrivenSegmentation

modelscope/models/cv/text_driven_segmentation/clip.py

@@ -1,7 +1,6 @@
-""" CLIP
-Adapted from https://github.com/openai/CLIP.
-Originally MIT License, Copyright (c) 2021 OpenAI.
-"""
+#  CLIP
+# Adapted from https://github.com/openai/CLIP.
+# Originally MIT License, Copyright (c) 2021 OpenAI.
 
 import hashlib
 import os

modelscope/models/cv/text_driven_segmentation/lseg_base.py

@@ -1,7 +1,5 @@
-"""
-Adapted from https://github.com/isl-org/lang-seg.
-Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
-"""
+# Adapted from https://github.com/isl-org/lang-seg.
+# Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
 
 import torch
 import torch.nn as nn

modelscope/models/cv/text_driven_segmentation/lseg_blocks.py

@@ -1,7 +1,5 @@
-"""
-Adapted from https://github.com/isl-org/lang-seg.
-Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
-"""
+# Adapted from https://github.com/isl-org/lang-seg.
+# Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
 
 import torch
 import torch.nn as nn

modelscope/models/cv/text_driven_segmentation/lseg_model.py

@@ -1,3 +1,5 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
+
 import os.path as osp
 from typing import Any, Dict
 

modelscope/models/cv/text_driven_segmentation/lseg_net.py

@@ -1,7 +1,5 @@
-"""
-Adapted from https://github.com/isl-org/lang-seg.
-Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
-"""
+# Adapted from https://github.com/isl-org/lang-seg.
+# Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
 
 import numpy as np
 import torch

modelscope/models/cv/text_driven_segmentation/lseg_vit.py

@@ -1,7 +1,5 @@
-"""
-Adapted from https://github.com/isl-org/lang-seg.
-Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
-"""
+# Adapted from https://github.com/isl-org/lang-seg.
+# Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
 
 import math
 import types

modelscope/models/cv/text_driven_segmentation/model.py

@@ -1,7 +1,5 @@
-"""
-Adapted from https://github.com/isl-org/lang-seg.
-Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
-"""
+# Adapted from https://github.com/isl-org/lang-seg.
+# Originally MIT License, Copyright (c) 2021 Intelligent Systems Lab Org.
 
 from collections import OrderedDict
 from typing import Tuple, Union

modelscope/models/cv/text_driven_segmentation/simple_tokenizer.py

@@ -1,7 +1,6 @@
-""" CLIP
-Adapted from https://github.com/openai/CLIP.
-Originally MIT License, Copyright (c) 2021 OpenAI.
-"""
+# CLIP
+# Adapted from https://github.com/openai/CLIP.
+# Originally MIT License, Copyright (c) 2021 OpenAI.
 
 import gzip
 import html

modelscope/models/multi_modal/diffusion/diffusion.py

@@ -1,3 +1,6 @@
+# Part of the implementation is borrowed and modified from latent-diffusion,
+# publicly avaialbe at https://github.com/CompVis/latent-diffusion.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 import math
 
 import torch

modelscope/models/multi_modal/diffusion/model.py

@@ -1,3 +1,4 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 import os.path as osp
 from typing import Any, Dict
 

modelscope/models/multi_modal/diffusion/unet_generator.py

@@ -1,3 +1,6 @@
+# Part of the implementation is borrowed and modified from latent-diffusion,
+# publicly avaialbe at https://github.com/CompVis/latent-diffusion.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 import math
 
 import torch

modelscope/models/multi_modal/diffusion/unet_upsampler_1024.py

@@ -1,3 +1,6 @@
+# Part of the implementation is borrowed and modified from latent-diffusion,
+# publicly avaialbe at https://github.com/CompVis/latent-diffusion.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 import math
 
 import torch

modelscope/models/multi_modal/diffusion/unet_upsampler_256.py

@@ -1,3 +1,6 @@
+# Part of the implementation is borrowed and modified from latent-diffusion,
+# publicly avaialbe at https://github.com/CompVis/latent-diffusion.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 import math
 from functools import partial
 

modelscope/models/multi_modal/gemm/gemm_base.py

@@ -1,9 +1,14 @@
-""" Generative Multimodal Model
-Base modules are adapted from https://github.com/openai/CLIP/,
-originally MIT License, Copyright (c) 2021 OpenAI,
-and adapted from https://github.com/lucidrains/CoCa-pytorch/,
-originally MIT License, Copyright (c) 2022 Phil Wang.
-"""
+# Copyright 2021 The OpenAI Team Authors.
+# Copyright 2022 Phil Wang.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+#
+# The implementation here is modified based on OpenAI CLIP,
+# originally MIT License, Copyright (c) 2021 OpenAI,
+# and publicly available at https://github.com/openai/CLIP/.
+# The implementation here is modified based on Coca-pytorch,
+# originally MIT License, Copyright (c) 2022 Phil Wang,
+# and publicly available at https://github.com/lucidrains/CoCa-pytorch/,
+""" Generative Multimodal Model Architecture."""
 
 import os
 from collections import OrderedDict

modelscope/models/multi_modal/gemm/gemm_model.py

@@ -1,3 +1,5 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+""" Generative Multimodal Model Wrapper."""
 import os.path as osp
 from typing import Any, Dict
 

modelscope/models/multi_modal/gemm/tokenizer.py

@@ -1,7 +1,11 @@
-""" CLIP Tokenizer
-Adapted from https://github.com/openai/CLIP.
-Originally MIT License, Copyright (c) 2021 OpenAI.
-"""
+# Copyright 2021 The OpenAI Team Authors.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+#
+# The implementation here is modified based on OpenAI CLIP,
+# originally MIT License, Copyright (c) 2021 OpenAI,
+# and publicly available at https://github.com/openai/CLIP/.
+""" CLIP Tokenizer."""
+
 import gzip
 import html
 import os

modelscope/models/multi_modal/mmr/__init__.py

@@ -1 +1,3 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+
 from .models import VideoCLIPForMultiModalEmbedding

modelscope/models/multi_modal/mmr/dataloaders/rawvideo_util.py

@@ -1,3 +1,6 @@
+# The implementation is adopted from Huaishao Luo,
+# made pubicly available under the MIT License at https://github.com/ArrowLuo/CLIP4Clip
+
 import cv2
 import numpy as np
 import torch as th

modelscope/models/multi_modal/mmr/models/__init__.py

@@ -1 +1,3 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+
 from .clip_for_mm_video_embedding import VideoCLIPForMultiModalEmbedding

modelscope/models/multi_modal/mmr/models/clip_for_mm_video_embedding.py

@@ -1,3 +1,6 @@
+# The implementation is adopated from the CLIP4Clip implementation,
+# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+
 import random
 from os.path import exists
 from typing import Any, Dict

modelscope/models/multi_modal/mmr/models/dynamic_inverted_softmax.py

@@ -1,3 +1,6 @@
+# The implementation is adopated from the CLIP4Clip implementation,
+# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+
 import numpy as np
 
 

modelscope/models/multi_modal/mmr/models/modeling.py

@@ -1,3 +1,5 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+
 import os
 import platform
 from collections import OrderedDict

modelscope/models/multi_modal/mmr/models/module_clip.py

@@ -1,4 +1,5 @@
-# Part of the implementation is borrowed and modified from The OpenAI CLIP project.
+# The implementation is  adopated from the CLIP4Clip implementation,
+# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
 
 import hashlib
 import os

modelscope/models/multi_modal/mmr/models/module_cross.py

@@ -1,3 +1,6 @@
+# The implementation is  adopated from the CLIP4Clip implementation,
+# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+
 from __future__ import absolute_import, division, print_function
 import logging
 from collections import OrderedDict

modelscope/models/multi_modal/mmr/models/tokenization_clip.py

@@ -1,3 +1,6 @@
+# The implementation is adopated from the CLIP4Clip implementation,
+# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+
 import gzip
 import html
 import os

modelscope/models/multi_modal/multi_stage_diffusion/clip.py

@@ -1,4 +1,5 @@
-# The implementation here is modified based on OpenAI CLIP, publicly available at https://github.com/openai/CLIP.
+# Part of the implementation is borrowed and modified from CLIP, publicly avaialbe at https://github.com/openai/CLIP.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import math
 

modelscope/models/multi_modal/multi_stage_diffusion/decoder.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import math
 

modelscope/models/multi_modal/multi_stage_diffusion/gaussian_diffusion.py

@@ -1,5 +1,6 @@
-# The implementation here is modified based on latent diffusion, publicly available
-# at https://github.com/CompVis/latent-diffusion.
+# Part of the implementation is borrowed and modified from latent-diffusion,
+# publicly avaialbe at https://github.com/CompVis/latent-diffusion.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import math
 

modelscope/models/multi_modal/multi_stage_diffusion/model.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import math
 import os.path as osp

modelscope/models/multi_modal/multi_stage_diffusion/prior.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import math
 

modelscope/models/multi_modal/multi_stage_diffusion/tokenizer.py

@@ -1,4 +1,5 @@
-# The implementation here is modified based on OpenAI CLIP, publicly available at https://github.com/openai/CLIP.
+# Part of the implementation is borrowed and modified from CLIP, publicly avaialbe at https://github.com/openai/CLIP.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import gzip
 import html

modelscope/models/multi_modal/multi_stage_diffusion/upsampler.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import math
 

modelscope/models/multi_modal/multi_stage_diffusion/xglm.py

@@ -1,5 +1,6 @@
-# The implementation here is modified based on HuggingFace XGLM, publicly available
-# at https://github.com/huggingface/transformers.
+# Part of the implementation is borrowed and modified from HuggingFace XGLM,
+# publicly avaialbe at https://github.com/huggingface/transformers.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import math
 

modelscope/models/multi_modal/team/team_model.py

@@ -1,3 +1,4 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 from typing import Any, Dict
 
 import cv2

modelscope/models/multi_modal/team/utils.py

@@ -1,7 +1,10 @@
-""" Generative Multimodal Model
-Base Transformer code is adapted from https://github.com/openai/CLIP/,
-originally MIT License, Copyright (c) 2021 OpenAI,
-"""
+# Copyright 2021 The OpenAI Team Authors.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+#
+# The implementation here is modified based on OpenAI CLIP,
+# originally MIT License, Copyright (c) 2021 OpenAI,
+# and publicly available at https://github.com/openai/CLIP/.
+
 from collections import OrderedDict
 from typing import Tuple, Union
 

modelscope/pipelines/cv/animal_recognition_pipeline.py

@@ -1,3 +1,4 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision  Team Authors. All rights reserved.
 import os.path as osp
 from typing import Any, Dict
 

modelscope/pipelines/cv/cmdssl_video_embedding_pipeline.py

@@ -1,3 +1,5 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
+
 import os.path as osp
 from typing import Any, Dict
 

modelscope/pipelines/cv/general_recognition_pipeline.py

@@ -1,3 +1,4 @@
+# Copyright 2021-2022 The Alibaba Fundamental Vision  Team Authors. All rights reserved.
 import os.path as osp
 from typing import Any, Dict
 

modelscope/pipelines/cv/live_category_pipeline.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 import os.path as osp
 from typing import Any, Dict
 

modelscope/pipelines/cv/shop_segmentation_pipleline.py

@@ -1,3 +1,4 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
 from typing import Any, Dict
 
 from modelscope.metainfo import Pipelines

modelscope/pipelines/cv/text_driven_segmentation_pipleline.py

@@ -1,3 +1,4 @@
+# Copyright (c) Alibaba, Inc. and its affiliates.
 from typing import Any, Dict
 
 from modelscope.metainfo import Pipelines

modelscope/pipelines/cv/video_category_pipeline.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 import os.path as osp
 from typing import Any, Dict
 

modelscope/pipelines/multi_modal/generative_multi_modal_embedding_pipeline.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 from typing import Any, Dict
 

modelscope/pipelines/multi_modal/team_multi_modal_similarity_pipeline.py

@@ -1,5 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
-
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 from typing import Any, Dict
 
 from modelscope.metainfo import Pipelines

tests/pipelines/test_cmdssl_video_embedding.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 # !/usr/bin/env python
 import unittest
 

tests/pipelines/test_generative_multi_modal_embedding.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import unittest
 

tests/pipelines/test_multi_modal_similarity.py

@@ -1,4 +1,4 @@
-# Copyright (c) Alibaba, Inc. and its affiliates.
+# Copyright 2021-2022 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 
 import unittest