Jetson TX1 setup for caffe2

gistfile1.txt

## Install Caffe2

https://caffe2.ai/docs/getting-started.html?platform=tegra&configuration=compile

	$sudo apt-get install libatlas-base-dev
	$cd build
	$sudo make install

## Install Detectron

https://github.com/facebookresearch/Detectron/blob/master/INSTALL.md

	$ pip2 install future



$ pip2 install numpy>=1.13 pyyaml>=3.12 matplotlib setuptools Cython mock scipy

export PYTHONPATH=$HOME/caffe2/build/
export COCOAPI=$HOME/cocoapi


## Install OpenCV2.

> http://dev.t7.ai/jetson/opencv/

cmake -D WITH_CUDA=ON -D CUDA_ARCH_BIN="5.3" -D CUDA_ARCH_PTX="" -D WITH_OPENGL=ON -D WITH_LIBV4L=ON -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local \
  -D WITH_OPENGL=ON \
  -D WITH_LIBV4L=ON \
  -D CUDA_FAST_MATH=ON \
  -D ENABLE_PRECOMPILED_HEADERS=OFF \
  -D ENABLE_NEON=ON \
  -D BUILD_TESTS=OFF \
  -D BUILD_PERF_TESTS=OFF \
  -D BUILD_EXAMPLES=OFF \
  ..


https://devtalk.nvidia.com/default/topic/1007290/jetson-tx2/building-opencv-with-opengl-support-/post/5141945/

pip2 install opencv-python>=3.2


python2 tools/infer_simple.py \
    --cfg configs/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_2x.yaml \
    --output-dir /tmp/detectron-visualizations \
    --image-ext jpg \
    --wts https://s3-us-west-2.amazonaws.com/detectron/35861858/12_2017_baselines/e2e_mask_rcnn_R-50-FPN_2x.yaml.02_32_51.SgT4y1cO/output/train/coco_2014_train:coco_2014_valminusminival/generalized_rcnn/model_final.pkl \
    demo