Fix word pubicly

modelscope/models/cv/action_recognition/s3dg.py

@@ -1,5 +1,5 @@
 # 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
+# made publicly 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

@@ -1,5 +1,5 @@
 # The implementation is adopted from https://github.com/facebookresearch/ConvNeXt,
-# made pubicly available under the MIT License at https://github.com/facebookresearch/ConvNeXt
+# made publicly available under the MIT License at https://github.com/facebookresearch/ConvNeXt
 # Copyright 2021-2022 The Alibaba FVI Team Authors. All rights reserved.
 
 import math

modelscope/models/cv/animal_recognition/resnet.py

@@ -1,5 +1,5 @@
 # The implementation is adopted from Split-Attention Network, A New ResNet Variant,
-# made pubicly available under the Apache License 2.0 License
+# made publicly available under the Apache License 2.0 License
 # at https://github.com/zhanghang1989/ResNeSt/blob/master/resnest/torch/models/resnet.py
 import math
 

modelscope/models/cv/animal_recognition/splat.py

@@ -1,5 +1,5 @@
 # The implementation is adopted from Split-Attention Network, A New ResNet Variant,
-# made pubicly available under the Apache License 2.0 License
+# made publicly available under the Apache License 2.0 License
 # at https://github.com/zhanghang1989/ResNeSt/blob/master/resnest/torch/models/splat.py
 """Split-Attention"""
 

modelscope/models/cv/face_recognition/torchkit/backbone/__init__.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from TFace,made pubicly available under the Apache-2.0 license at
+# The implementation is adopted from TFace,made publicly available under the Apache-2.0 license at
 # https://github.com/Tencent/TFace/blob/master/recognition/torchkit/backbone
 from .model_irse import (IR_18, IR_34, IR_50, IR_101, IR_152, IR_200, IR_SE_50,
                          IR_SE_101, IR_SE_152, IR_SE_200)

modelscope/models/cv/face_recognition/torchkit/backbone/arcface_backbone.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from TFace,made pubicly available under the Apache-2.0 license at
+# The implementation is adopted from TFace,made publicly available under the Apache-2.0 license at
 # https://github.com/deepinsight/insightface/blob/master/recognition/arcface_torch/backbones/iresnet.py
 import torch
 from torch import nn

modelscope/models/cv/face_recognition/torchkit/backbone/common.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from TFace,made pubicly available under the Apache-2.0 license at
+# The implementation is adopted from TFace,made publicly available under the Apache-2.0 license at
 # https://github.com/Tencent/TFace/blob/master/recognition/torchkit/backbone/common.py
 import torch
 import torch.nn as nn

modelscope/models/cv/face_recognition/torchkit/backbone/facemask_backbone.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from InsightFace, made pubicly available under the Apache-2.0 license at
+# The implementation is adopted from InsightFace, made publicly available under the Apache-2.0 license at
 # https://github.com/TreB1eN/InsightFace_Pytorch/blob/master/model.py
 
 from collections import namedtuple

modelscope/models/cv/face_recognition/torchkit/backbone/model_irse.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from TFace,made pubicly available under the Apache-2.0 license at
+# The implementation is adopted from TFace,made publicly available under the Apache-2.0 license at
 # https://github.com/Tencent/TFace/blob/master/recognition/torchkit/backbone/model_irse.py
 from collections import namedtuple
 

modelscope/models/cv/face_recognition/torchkit/backbone/model_resnet.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from TFace,made pubicly available under the Apache-2.0 license at
+# The implementation is adopted from TFace,made publicly available under the Apache-2.0 license at
 # https://github.com/Tencent/TFace/blob/master/recognition/torchkit/backbone/model_resnet.py
 import torch.nn as nn
 from torch.nn import (BatchNorm1d, BatchNorm2d, Conv2d, Dropout, Linear,

modelscope/models/cv/image_portrait_enhancement/retinaface/models/net.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from Pytorch_Retinaface, made pubicly available under the MIT License
+# The implementation is adopted from Pytorch_Retinaface, made publicly available under the MIT License
 # at https://github.com/biubug6/Pytorch_Retinaface/tree/master/models/net.py
 import time
 

modelscope/models/cv/image_portrait_enhancement/retinaface/models/retinaface.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from Pytorch_Retinaface, made pubicly available under the MIT License
+# The implementation is adopted from Pytorch_Retinaface, made publicly available under the MIT License
 # at https://github.com/biubug6/Pytorch_Retinaface/tree/master/models/retinaface.py
 from collections import OrderedDict
 

modelscope/models/cv/image_probing_model/backbone.py

@@ -1,5 +1,5 @@
 # The implementation is adopted from OpenAI-CLIP,
-# made pubicly available under the MIT License at https://github.com/openai/CLIP
+# made publicly available under the MIT License at https://github.com/openai/CLIP
 
 import math
 import sys

modelscope/models/cv/image_quality_assessment_man/maniqa.py

@@ -1,4 +1,4 @@
-# This implementation is adopted from MANIQA, made pubicly available under the Apache License 2.0 at
+# This implementation is adopted from MANIQA, made publicly available under the Apache License 2.0 at
 # https://github.com/IIGROUP/MANIQA/blob/master/models/maniqa.py
 
 import timm

modelscope/models/cv/image_quality_assessment_man/swin.py

@@ -1,4 +1,4 @@
-# This implementation is adopted form SwinTransformer, made pubicly available under the MIT License at
+# This implementation is adopted form SwinTransformer, made publicly available under the MIT License at
 # https://github.com/microsoft/Swin-Transformer/blob/main/models/swin_transformer.py
 
 import collections.abc

modelscope/models/cv/image_quality_assessment_mos/backbones/resnet.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from CenseoQoE, made pubicly available under the MIT License at
+# The implementation is adopted from CenseoQoE, made publicly available under the MIT License at
 # https://github.com/Tencent/CenseoQoE
 import os
 

modelscope/models/cv/image_quality_assessment_mos/censeo_ivqa_model.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from CenseoQoE, made pubicly available under the MIT License at
+# The implementation is adopted from CenseoQoE, made publicly available under the MIT License at
 # https://github.com/Tencent/CenseoQoE
 
 import torch

modelscope/models/cv/image_reid_person/pass_model.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from PASS-reID, made pubicly available under the Apache-2.0 License at
+# The implementation is adopted from PASS-reID, made publicly available under the Apache-2.0 License at
 # https://github.com/CASIA-IVA-Lab/PASS-reID
 
 import os

modelscope/models/cv/image_reid_person/transreid_model.py

@@ -1,4 +1,4 @@
-# The implementation is adopted from PASS-reID, made pubicly available under the Apache-2.0 License at
+# The implementation is adopted from PASS-reID, made publicly available under the Apache-2.0 License at
 # https://github.com/CASIA-IVA-Lab/PASS-reID
 
 import collections.abc as container_abcs

modelscope/models/multi_modal/clip_interrogator/model.py

@@ -1,4 +1,4 @@
-# This implementation is adopted from CLIP-Interrogator, made pubicly available under the MIT License at
+# This implementation is adopted from CLIP-Interrogator, made publicly available under the MIT License at
 # https://github.com/pharmapsychotic/clip-interrogator/blob/main/clip_interrogator/clip_interrogator.py
 
 import hashlib

modelscope/models/multi_modal/efficient_diffusion_tuning/control_sd_lora.py

@@ -1,6 +1,6 @@
 # Copyright 2023-2024 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 # The implementation is adopted from HighCWu,
-# made pubicly available under the Apache License 2.0 License at https://github.com/HighCWu/ControlLoRA
+# made publicly available under the Apache License 2.0 License at https://github.com/HighCWu/ControlLoRA
 
 import os
 from dataclasses import dataclass

modelscope/models/multi_modal/efficient_diffusion_tuning/efficient_stable_diffusion.py

@@ -1,6 +1,6 @@
 # Copyright 2023-2024 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 # The implementation is adopted from HighCWu,
-# made pubicly available under the Apache License 2.0 License at https://github.com/HighCWu/ControlLoRA
+# made publicly available under the Apache License 2.0 License at https://github.com/HighCWu/ControlLoRA
 import os
 import os.path as osp
 from functools import partial

modelscope/models/multi_modal/efficient_diffusion_tuning/sd_lora.py

@@ -1,6 +1,6 @@
 # Copyright 2023-2024 The Alibaba Fundamental Vision Team Authors. All rights reserved.
 # The implementation is adopted from HighCWu,
-# made pubicly available under the Apache License 2.0 License at https://github.com/HighCWu/ControlLoRA
+# made publicly available under the Apache License 2.0 License at https://github.com/HighCWu/ControlLoRA
 import os
 from dataclasses import dataclass
 from typing import List, Tuple, Union

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

@@ -1,5 +1,5 @@
 # The implementation is adopted from Huaishao Luo,
-# made pubicly available under the MIT License at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under the MIT License at https://github.com/ArrowLuo/CLIP4Clip
 
 import cv2
 import numpy as np

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

@@ -1,5 +1,5 @@
 # The implementation is adopted from the CLIP4Clip implementation,
-# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
 
 import os
 import random

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

@@ -1,5 +1,5 @@
 # The implementation is adopted from the CLIP4Clip implementation,
-# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
 
 import numpy as np
 

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

@@ -1,5 +1,5 @@
 # The implementation is  adopated from the CLIP4Clip implementation,
-# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly 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

@@ -1,5 +1,5 @@
 # The implementation is  adopated from the CLIP4Clip implementation,
-# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
 
 from __future__ import absolute_import, division, print_function
 import logging

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

@@ -1,5 +1,5 @@
 # The implementation is adopted from the CLIP4Clip implementation,
-# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
 
 import gzip
 import html

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

@@ -1,5 +1,5 @@
 # The implementation is adopted from Huaishao Luo,
-# made pubicly available under the MIT License at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under the MIT License at https://github.com/ArrowLuo/CLIP4Clip
 
 import cv2
 import numpy as np

modelscope/models/multi_modal/prost/models/module_clip.py

@@ -1,5 +1,5 @@
 # The implementation is  adopated from the CLIP4Clip implementation,
-# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
 
 import hashlib
 import os

modelscope/models/multi_modal/prost/models/prost_model.py

@@ -1,5 +1,5 @@
 # The implementation is adopted from the CLIP4Clip implementation,
-# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
 
 import os
 import random

modelscope/models/multi_modal/prost/models/tokenization_clip.py

@@ -1,5 +1,5 @@
 # The implementation is adopted from the CLIP4Clip implementation,
-# made pubicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
+# made publicly available under Apache License, Version 2.0 at https://github.com/ArrowLuo/CLIP4Clip
 
 import gzip
 import html