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taokong authored and ancientmooner committed Jun 13, 2018
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364 changes: 8 additions & 356 deletions LICENSE

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -34,7 +34,7 @@ This is an official implementation for [Flow-Guided Feature Aggregation for Vide

## License

© Microsoft, 2017. Licensed under an Apache-2.0 license.
© Microsoft, 2017. Licensed under the [MIT](LICENSE) License.

## Citing Flow-Guided Feature Aggregation

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109 changes: 109 additions & 0 deletions ThirdPartyNotices.txt
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Flow Guided Feature Aggregation

THIRD-PARTY SOFTWARE NOTICES AND INFORMATION

This project incorporates components from the projects listed below. The original copyright notices and the licenses under which Microsoft received such components are set forth below. Microsoft reserves all rights not expressly granted herein, whether by implication, estoppel or otherwise.

1. MXNet (https://github.com/apache/incubator-mxnet)
2. Fast R-CNN (https://github.com/rbgirshick/fast-rcnn)
3. Faster R-CNN (https://github.com/rbgirshick/py-faster-rcnn)
4. MS COCO API (https://github.com/cocodataset/cocoapi)


MXNet

Copyright (c) 2015-2016 by Contributors

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.


Fast R-CNN

Copyright (c) Microsoft Corporation

All rights reserved.

MIT License

Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute, sublicense,
and/or sell copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included
in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.


Faster R-CNN

The MIT License (MIT)

Copyright (c) 2015 Microsoft Corporation

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.


MS COCO API

Copyright (c) 2014, Piotr Dollar and Tsung-Yi Lin
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

The views and conclusions contained in the software and documentation are those
of the authors and should not be interpreted as representing official policies,
either expressed or implied, of the FreeBSD Project.
5 changes: 3 additions & 2 deletions experiments/fgfa_rfcn/fgfa_rfcn_end2end_train_test.py
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# --------------------------------------------------------
# Deformable Convolutional Networks
# Flow-Guided Feature Aggregation
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Written by Yuwen Xiong
# --------------------------------------------------------

import os
import sys
os.environ['PYTHONUNBUFFERED'] = '1'
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4 changes: 2 additions & 2 deletions experiments/fgfa_rfcn/fgfa_rfcn_test.py
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# --------------------------------------------------------
# Deformable Convolutional Networks
# Flow-Guided Feature Aggregation
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Written by Yuwen Xiong
# --------------------------------------------------------

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7 changes: 7 additions & 0 deletions fgfa_rfcn/_init_paths.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2017 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Xizhou Zhu
# --------------------------------------------------------

import os.path as osp
import sys

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9 changes: 7 additions & 2 deletions fgfa_rfcn/config/config.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2016 by Contributors
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuqing Zhu, Shuhao Fu, Xizhou Zhu, Yuwen Xiong, Bin Xiao
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

import yaml
import numpy as np
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9 changes: 7 additions & 2 deletions fgfa_rfcn/core/DataParallelExecutorGroup.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2016 by Contributors
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

import logging
import numpy as np
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9 changes: 7 additions & 2 deletions fgfa_rfcn/core/callback.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2016 by Contributors
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

import time
import logging
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10 changes: 8 additions & 2 deletions fgfa_rfcn/core/loader.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2016 by Contributors
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuqing Zhu, Shuhao Fu, Xizhou Zhu, Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------


import numpy as np
import mxnet as mx
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9 changes: 7 additions & 2 deletions fgfa_rfcn/core/metric.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2016 by Contributors
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

import mxnet as mx
import numpy as np
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9 changes: 7 additions & 2 deletions fgfa_rfcn/core/module.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2016 by Contributors
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

"""A `MutableModule` implement the `BaseModule` API, and allows input shape
varying with training iterations. If shapes vary, executors will rebind,
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12 changes: 9 additions & 3 deletions fgfa_rfcn/core/rcnn.py
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# --------------------------------------------------------
# #Flow-Guided-Feature-Aggregation
# Copyright (c) 2016 by Contributors
# Flow-Guided Feature Aggregation
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

"""
Fast R-CNN:
data =
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9 changes: 7 additions & 2 deletions fgfa_rfcn/core/tester.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2016 by Contributors
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuqing Zhu, Shuhao Fu, Xizhou Zhu, Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

from multiprocessing.pool import ThreadPool as Pool
import cPickle
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2 changes: 1 addition & 1 deletion fgfa_rfcn/demo.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Written by Yuqing Zhu, Shuhao Fu, Xizhou Zhu, Yi Li, Haochen Zhang
# --------------------------------------------------------

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9 changes: 7 additions & 2 deletions fgfa_rfcn/function/test_rcnn.py
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# --------------------------------------------------------
# Flow-Guided Feature Aggregation
# Copyright (c) 2016 by Contributors
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuqing Zhu, Shuhao Fu, Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

import argparse
import pprint
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11 changes: 8 additions & 3 deletions fgfa_rfcn/function/test_rpn.py
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# --------------------------------------------------------
# #Flow-Guided-Feature-Aggregation
# Copyright (c) 2016 by Contributors
# Flow-Guided Feature Aggregation
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

import argparse
import pprint
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11 changes: 8 additions & 3 deletions fgfa_rfcn/function/train_rcnn.py
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# --------------------------------------------------------
# #Flow-Guided-Feature-Aggregation
# Copyright (c) 2016 by Contributors
# Flow-Guided Feature Aggregation
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

import argparse
import logging
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11 changes: 8 additions & 3 deletions fgfa_rfcn/function/train_rpn.py
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# --------------------------------------------------------
# #Flow-Guided-Feature-Aggregation
# Copyright (c) 2016 by Contributors
# Flow-Guided Feature Aggregation
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Licensed under The MIT License [see LICENSE for details]
# Modified by Yuwen Xiong
# --------------------------------------------------------
# Based on:
# MX-RCNN
# Copyright (c) 2016 by Contributors
# Licence under The Apache 2.0 License
# https://github.com/ijkguo/mx-rcnn/
# --------------------------------------------------------

import argparse
import logging
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2 changes: 1 addition & 1 deletion fgfa_rfcn/operator_cxx/psroi_pooling-inl.h
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/*!
* Copyright (c) 2017 by Contributors
* Copyright (c) 2017 Microsoft
* Licensed under The Apache-2.0 License [see LICENSE for details]
* Licensed under The MIT License [see LICENSE for details]
* \file psroi_pooling-inl.h
* \brief psroi pooling operator and symbol
* \author Yi Li, Tairui Chen, Guodong Zhang, Jifeng Dai
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