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Autonomous Machines Jetson & Embedded Systems Jetson AGX Xavier
7

Hi,

Thanks for your patience.
Here is steps to generate MaskRCNN uff on the Jetson.

1. Install prerequisite

sudo apt-get update
sudo apt-get install -y build-essential libatlas-base-dev gfortran libfreetype6-dev python3-setuptools
sudo apt-get install -y protobuf-compiler libprotobuf-dev openssl libssl-dev libcurl4-openssl-dev

2. Upgrade cmake

wget http://www.cmake.org/files/v3.13/cmake-3.13.0.tar.gz
tar xpvf cmake-3.13.0.tar.gz cmake-3.13.0/
cd cmake-3.13.0/
./bootstrap --system-curl 
make -j8
echo 'export PATH=/home/nvidia/cmake-3.13.0/bin/:$PATH' >> ~/.bashrc
source ~/.bashrc

3. Install scipy

wget https://github.com/scipy/scipy/releases/download/v1.3.3/scipy-1.3.3.tar.gz
tar -xzvf scipy-1.3.3.tar.gz scipy-1.3.3
cd scipy-1.3.3/
python3 setup.py install --user

4. Compile TensorRT OSS

git clone https://github.com/nvidia/TensorRT TensorRT
cd TensorRT
git submodule update --init --recursive
mkdir -p build && cd build 
cmake -DCUBLASLT_LIB=/usr/local/cuda-10.0/targets/aarch64-linux/lib/libcublas.so ..
make -j8

5. Run SampleMaskRCNN

Install requirement

pip install -r $TRT_SOURCE/samples/opensource/sampleUffMaskRCNN/converted/requirements.txt

Modify /usr/lib/python3.6/dist-packages/uff/converters/tensorflow/converter_functions.py

uff_graph.conv_transpose(
    inputs[0], inputs[2], inputs[1],
    strides, padding,
    dilation=None, number_groups=number_groups,
    left_format=lhs_fmt, right_format=rhs_fmt,
    name=name, fields=fields
    )

Setting Mast_RCNN

git clone https://github.com/matterport/Mask_RCNN.git
export PYTHONPATH=$PYTHONPATH:$PWD/Mask_RCNN
cd Mask_RCNN
git checkout 3deaec5
git am $TRT_SOURCE/samples/opensource/sampleUffMaskRCNN/converted/0001-Update-the-Mask_RCNN-model-from-NHWC-to-NCHW.patch

Download data

cd /path/to/data
wget https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5
cp /usr/src/tensorrt/data/faster-rcnn/001763.ppm .
cp /usr/src/tensorrt/data/faster-rcnn/004545.ppm .

Run

cd $TRT_SOURCE/samples/opensource/sampleUffMaskRCNN/converted/
python3 mrcnn_to_trt_single.py -w /path/to/data/mask_rcnn_coco.h5 -o /path/to/data/mrcnn_nchw.uff -p ./config.py
cd $TRT_SOURCE/build
./sample_uff_maskRCNN -d /path/to/data

Please noticed that we found there is issue when running the sample with PyramidROIAlign plugin.
This issue is passed to our internal team and will be updated here if we got any response.

Thanks.