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deepstream-openpose

1. Run CMU pose demo

Platform: xavier, Jetpack 4.3 with DeepStream 4.0.2

Notes:

  1. Porting to Tesla/x86 platform should be easy.
  2. CUDA_cublas_device_LIBRARY NOTFOUND issue -> Solution
  3. Refer to openpose/scripts/ubuntu/install_deps.sh to install deps libs.
  4. Refer to openpose/models/getModels.sh to fetch models
  5. Build. 
    $ cmake -D CMAKE_BUILD_TYPE=Debug ..
$ make -j4
  6. These demos can work. 
    $ ./build/examples/openpose/openpose.bin
$ ./build/examples/tutorial_api_cpp/01_body_from_image_default.bin
$ ...

It show like this.

2. Deploy pose coco model by DeepStream 4.0.2

Model: pose/coco/pose_iter_440000.caffemodel, pose/coco/pose_deploy_linevec.prototxt

Pipeline:

filesrc -> jpegparse -> nvv4l2decoder -> nvstreammux -> nvinfer (openpose and 18 parts parse) nvsegvidsual -> nvmultistreamtiler -> (nvegltransform) -> nveglglessink

Build libnvds_infer.so

$ cd libs/nvinfer
$ make
Backup /opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_infer.so
$ sudo ln -sf $(pwd)/libnvds_infer.so /opt/nvidia/deepstream/deepstream-4.0/lib/libnvds_infer.so

Build openpose-app

$ cd openpose_app
$ make
Change nvinfer_config.txt "model-file" and "proto-file" to be your path
 model-file=
 proto-file=

Run

$ ./openpose-app ./nvinfer_config.txt COCO_val2014_000000000564.jpg

3. TODO

Add dsexample plugin after nvinfer and do resize_merge, nms and BodyPartConnector, and show result by nvosd like the below.