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Add distributed version of the h.264 Endoscopy Tool Tracking app (nvi…
…dia-holoscan#496) * Add distributed version of the h.264 Endoscopy Tool Tracking app in C++ & Python Signed-off-by: Victor Chang <[email protected]> * Fix lint issues Signed-off-by: Victor Chang <[email protected]> * Address feedback Signed-off-by: Victor Chang <[email protected]> * Update extension paths Signed-off-by: Victor Chang <[email protected]> --------- Signed-off-by: Victor Chang <[email protected]>
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applications/h264/h264_endoscopy_tool_tracking_distributed/CMakeLists.txt
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| # SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | ||
| # SPDX-License-Identifier: Apache-2.0 | ||
| # | ||
| # 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. | ||
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| cmake_minimum_required(VERSION 3.20) | ||
| project(h264_endoscopy_tool_tracking_distributed_apps LANGUAGES NONE) | ||
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| add_subdirectory(cpp) | ||
| add_subdirectory(python) |
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applications/h264/h264_endoscopy_tool_tracking_distributed/README.md
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| # Distributed H.264 Endoscopy Tool Tracking Application | ||
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| This application is similar to the [H.264 Endoscopy Tool Tracking](../h264_endoscopy_tool_tracking/) application, but this distributed version divides the application into three fragments: | ||
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| 1. Video Input: get video input from a pre-recorded video file. | ||
| 2. Inference: run the inference using LSTM and run the post-processing script. | ||
| 3. Visualization: display input video and inference results. | ||
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| ## Requirements | ||
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| This application is configured to use H.264 elementary stream from endoscopy sample data as input. | ||
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| ### Data | ||
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| [📦️ (NGC) Sample App Data for AI-based Endoscopy Tool Tracking](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/clara-holoscan/resources/holoscan_endoscopy_sample_data) | ||
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| The data is automatically downloaded when building the application. | ||
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| ## Building and Running H.264 Endoscopy Tool Tracking Application | ||
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| * Building and running the application from the top level Holohub directory: | ||
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| ### C++ | ||
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| ```bash | ||
| # Start the application with all three fragments | ||
| ./dev_container build_and_run h264_endoscopy_tool_tracking_distributed --docker_file applications/h264/Dockerfile --language cpp | ||
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| # Use the following commands to run the same application three processes: | ||
| # Start the application with the video_in fragment | ||
| ./dev_container build_and_run h264_endoscopy_tool_tracking_distributed --docker_file applications/h264/Dockerfile --language cpp --run_args "--driver --worker --fragments video_in --address :10000 --worker-address :10001" | ||
| # Start the application with the inference fragment | ||
| ./dev_container build_and_run h264_endoscopy_tool_tracking_distributed --docker_file applications/h264/Dockerfile --language cpp --run_args "--worker --fragments inference --address :10000 --worker-address :10002" | ||
| # Start the application with the visualization fragment | ||
| ./dev_container build_and_run h264_endoscopy_tool_tracking_distributed --docker_file applications/h264/Dockerfile --language cpp --run_args "--worker --fragments viz --address :10000 --worker-address :10003" | ||
| ``` | ||
| --base_img gitlab-master.nvidia.com:5005/holoscan/holoscan-sdk/dev-x86_64:main | ||
| ### Python | ||
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| ```bash | ||
| # Start the application with all three fragments | ||
| ./dev_container build_and_run h264_endoscopy_tool_tracking_distributed --docker_file applications/h264/Dockerfile --language python | ||
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| # Use the following commands to run the same application three processes: | ||
| # Start the application with the video_in fragment | ||
| ./dev_container build_and_run h264_endoscopy_tool_tracking_distributed --docker_file applications/h264/Dockerfile --language python --run_args "--driver --worker --fragments video_in --address :10000 --worker-address :10001" | ||
| # Start the application with the inference fragment | ||
| ./dev_container build_and_run h264_endoscopy_tool_tracking_distributed --docker_file applications/h264/Dockerfile --language python --run_args "--worker --fragments inference --address :10000 --worker-address :10002" | ||
| # Start the application with the visualization fragment | ||
| ./dev_container build_and_run h264_endoscopy_tool_tracking_distributed --docker_file applications/h264/Dockerfile --language python --run_args "--worker --fragments viz --address :10000 --worker-address :10003" | ||
| ``` | ||
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| Important: on aarch64, applications also need tegra folder mounted inside the container and | ||
| the `LD_LIBRARY_PATH` environment variable should be updated to include | ||
| tegra folder path. | ||
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| Open and edit the [Dockerfile](../Dockerfile) and uncomment line 66: | ||
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| ```bash | ||
| # Uncomment the following line for aarch64 support | ||
| ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/aarch64-linux-gnu/tegra/ | ||
| ``` | ||
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| ## Dev Container | ||
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| To start the VS Code Dev Container, run the following command from the root directory of Holohub: | ||
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| ```bash | ||
| ./dev_container vscode h264 | ||
| ``` | ||
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| ### VS Code Launch Profiles | ||
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| #### C++ | ||
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| Use the **(gdb) h264_endoscopy_tool_tracking_distributed/cpp (all fragments)** launch profile to run and debug the C++ application. | ||
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| #### Python | ||
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| Use the **(pythoncpp) h264_endoscopy_tool_tracking_distributed/python (all fragments)** launch profile to run and debug the Python application. |
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applications/h264/h264_endoscopy_tool_tracking_distributed/cpp/CMakeLists.txt
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| # SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | ||
| # SPDX-License-Identifier: Apache-2.0 | ||
| # | ||
| # 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. | ||
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| cmake_minimum_required(VERSION 3.20) | ||
| project(h264_endoscopy_tool_tracking_distributed CXX) | ||
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| find_package(holoscan 2.5 REQUIRED CONFIG | ||
| PATHS "/opt/nvidia/holoscan" "/workspace/holoscan-sdk/install") | ||
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| add_executable(h264_endoscopy_tool_tracking_distributed | ||
| main.cpp | ||
| ) | ||
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| target_link_libraries(h264_endoscopy_tool_tracking_distributed | ||
| PRIVATE | ||
| holoscan::core | ||
| holoscan::ops::gxf_codelet | ||
| holoscan::ops::format_converter | ||
| holoscan::ops::holoviz | ||
| holoscan::ops::video_encoder | ||
| holoscan::ops::tensor_to_video_buffer | ||
| lstm_tensor_rt_inference | ||
| tool_tracking_postprocessor | ||
| ) | ||
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| # Copy the config to the binary directory | ||
| add_custom_target(h264_endoscopy_tool_tracking_distributed_yaml | ||
| COMMAND ${CMAKE_COMMAND} -E copy_if_different "${CMAKE_CURRENT_SOURCE_DIR}/endoscopy_tool_tracking.yaml" ${CMAKE_CURRENT_BINARY_DIR} | ||
| DEPENDS "endoscopy_tool_tracking.yaml" | ||
| BYPRODUCTS "endoscopy_tool_tracking.yaml" | ||
| ) | ||
| add_dependencies(h264_endoscopy_tool_tracking_distributed h264_endoscopy_tool_tracking_distributed_yaml) | ||
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| # Default to download datasets | ||
| option(HOLOHUB_DOWNLOAD_DATASETS "Download datasets" ON) | ||
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| # Download the endoscopy sample data | ||
| if(HOLOHUB_DOWNLOAD_DATASETS) | ||
| include(holoscan_download_data) | ||
| holoscan_download_data(endoscopy | ||
| URL https://api.ngc.nvidia.com/v2/resources/nvidia/clara-holoscan/holoscan_endoscopy_sample_data/versions/20230222/zip | ||
| DOWNLOAD_NAME holoscan_endoscopy_sample_data_20230222.zip | ||
| URL_MD5 d54f84a562d29ed560a87d2607eba973 | ||
| DOWNLOAD_DIR ${HOLOHUB_DATA_DIR} | ||
| ) | ||
| add_dependencies(h264_endoscopy_tool_tracking_distributed endoscopy_data) | ||
| endif() |
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