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[MaskRCNN/TF2] Adding MaskRCNN for TF1 and TF2
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‎README.md‎

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- __ResNext__ [[PyTorch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets)]
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- __SE-ResNext__ [[PyTorch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Classification/ConvNets)]
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- __SSD__ [[PyTorch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Detection/SSD)] [[TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Detection/SSD)]
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- __Mask R-CNN__ [[PyTorch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/MaskRCNN)]
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- __Mask R-CNN__ [[PyTorch](https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/Segmentation/MaskRCNN)] [[TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN)] [[TensorFlow 2](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN)]
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- __U-Net(industrial)__ [[TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial)]
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- __U-Net(medical)__ [[TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Medical)] [[TensorFlow2](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical)]
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- __U-Net(medical)__ [[TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Medical)] [[TensorFlow 2](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical)]
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- __VNet__ [[TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet)]
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### Natural Language Processing
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| [Variational Autoencoder Collaborative Filtering](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Recommendation/VAE-CF) |TensorFlow | N/A | Yes | Yes | - | - | - | - | - |
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| [U-Net Industrial](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Industrial) |TensorFlow | N/A | Yes | Yes | - | Yes | - | - | Yes |
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| [U-Net Medical](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/UNet_Medical) | TensorFlow | N/A | Yes | Yes | - | Yes |- | - | Yes |
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| [U-Net Medical](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow2 | N/A | Yes | Yes | - | Yes |- | - | Yes |
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| [V-Net Medical](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Segmentation/VNet) | TensorFlow | N/A | Yes | Yes | - | Yes | Yes | - | Yes |
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| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) |TensorFlow | N/A | Yes | Yes | - | - | - | - | - |
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| [GNMT v2](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Translation/GNMT) | TensorFlow | N/A | Yes | Yes | - | - | - | - | - |
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| [Faster Transformer](https://github.com/NVIDIA/DeepLearningExamples/tree/master/FasterTransformer) | Tensorflow | N/A | - | - | - | Yes | - | - | - |
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| [U-Net Medical](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/UNet_Medical) | TensorFlow-2 | N/A | Yes | Yes | - | Yes |- | - | Yes |
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| [Mask R-CNN](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN) |TensorFlow-2 | N/A | Yes | Yes | - | - |- | - | - |
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| [ResNet50 v1.5](https://github.com/NVIDIA/DeepLearningExamples/tree/master/MxNet/Classification/RN50v1.5) | MXNet | Yes | Yes | Yes | - | - | - | - | - |
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| [HMM](https://github.com/NVIDIA/DeepLearningExamples/tree/master/Kaldi/SpeechRecognition) | Kaldi | N/A | - | Yes | - | - | - | Yes | - |
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‎TensorFlow/Segmentation/MaskRCNN/README.md‎

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Both TensorFlow 1.x and TensorFlow 2.x versions of Mask-RCNN are located in [TensorFlow2/Segmentation/MaskRCNN folder](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow2/Segmentation/MaskRCNN).

‎TensorFlow2/Segmentation/MaskRCNN/.dockerignore‎

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.DS_Store
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.ipynb_checkpoints
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node_modules
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/.bazelrc
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/.tf_configure.bazelrc
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/bazel-*
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/bazel_pip
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/third_party/eigen3/mkl_include
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/third_party/mkl/*
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/tools/python_bin_path.sh
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/tools/git/gen
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/pip_test
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/_python_build
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*.pyc
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__pycache__
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*.swp
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.vscode/
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\.idea/
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\.git/
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core
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core/
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weights/mask-rcnn/
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weights/resnet/
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profiling/
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venv/
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nsys/
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# Git Directories
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tf-models/
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# Data Directories
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data_dir/

‎TensorFlow2/Segmentation/MaskRCNN/.gitignore‎

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.DS_Store
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.ipynb_checkpoints
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node_modules
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/.bazelrc
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/.tf_configure.bazelrc
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/bazel-*
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/bazel_pip
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/third_party/eigen3/mkl_include
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/third_party/mkl/*
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/tools/python_bin_path.sh
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/tools/git/gen
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/pip_test
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/_python_build
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*.pyc
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__pycache__
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*.swp
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.vscode/
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\.idea/
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venv/
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# Git Directories
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tf-models/
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# Debug Dirs
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profiling/
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nvtx_plugins/
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nsys/
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# Data Directories
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data_dir/
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# Pretrained Weights Dir
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weights/mask-rcnn/1555659850/*
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weights/resnet/resnet-nhwc-2018-02-07/*
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weights/resnet/resnet-nhwc-2018-10-14/*
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weights/resnet/extracted_from_maskrcnn/*
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!weights/mask-rcnn/.gitkeep
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!weights/mask-rcnn/1555659850/.gitkeep
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!weights/mask-rcnn/1555659850/ckpt/.gitkeep
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!weights/mask-rcnn/1555659850/variables/.gitkeep
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!weights/resnet/.gitkeep
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!weights/resnet/extracted_from_maskrcnn/.gitkeep
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!weights/resnet/resnet-nhwc-2018-02-07/.gitkeep
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!weights/resnet/resnet-nhwc-2018-10-14/.gitkeep

‎TensorFlow2/Segmentation/MaskRCNN/Dockerfile‎

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#===============================================================================
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#
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# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# ==============================================================================
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ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:20.02-tf2-py3
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FROM ${FROM_IMAGE_NAME}
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ENV DEBIAN_FRONTEND=noninteractive
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RUN rm -rf /workspace && mkdir -p /workspace
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ADD . /workspace
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WORKDIR /workspace
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RUN apt-get update && \
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apt-get install -y libsm6 libxext6 libxrender-dev python3-tk cmake && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Make sure python and pip points to pip3 and python3
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RUN python -m pip install --upgrade pip && \
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pip --no-cache-dir --no-cache install \
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Cython \
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matplotlib \
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opencv-python-headless \
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mpi4py \
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Pillow \
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pytest \
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pyyaml && \
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git clone https://github.com/pybind/pybind11 /opt/pybind11 && \
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cd /opt/pybind11 && cmake . && make install && pip install . && \
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pip --no-cache-dir --no-cache install \
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'git+https://github.com/NVIDIA/cocoapi#egg=pycocotools&subdirectory=PythonAPI' && \
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pip --no-cache-dir --no-cache install \
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'git+https://github.com/NVIDIA/dllogger'
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# Update protobuf 3 to 3.3.0
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RUN \
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curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v3.3.0/protoc-3.3.0-linux-x86_64.zip && \
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unzip -u protoc-3.3.0-linux-x86_64.zip -d protoc3 && \
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mv protoc3/bin/* /usr/local/bin/ && \
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mv protoc3/include/* /usr/local/include/
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‎TensorFlow2/Segmentation/MaskRCNN/LICENSE‎

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