Laurent Berger
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Pose estimation mp (#186)
Browse files* pose estimation mediapie
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- CMakeLists.txt +29 -0
- README.md +18 -0
- demo.cpp +0 -0
CMakeLists.txt
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cmake_minimum_required(VERSION 3.24)
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set(project_name "opencv_zoo_pose_estimation_mediapipe")
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PROJECT (${project_name})
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set(OPENCV_VERSION "4.8.0")
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set(OPENCV_INSTALLATION_PATH "" CACHE PATH "Where to look for OpenCV installation")
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find_package(OpenCV ${OPENCV_VERSION} REQUIRED HINTS ${OPENCV_INSTALLATION_PATH})
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# Find OpenCV, you may need to set OpenCV_DIR variable
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# to the absolute path to the directory containing OpenCVConfig.cmake file
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# via the command line or GUI
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file(GLOB SourceFile
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"demo.cpp")
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# If the package has been found, several variables will
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# be set, you can find the full list with descriptions
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# in the OpenCVConfig.cmake file.
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# Print some message showing some of them
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message(STATUS "OpenCV library status:")
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message(STATUS " config: ${OpenCV_DIR}")
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message(STATUS " version: ${OpenCV_VERSION}")
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message(STATUS " libraries: ${OpenCV_LIBS}")
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message(STATUS " include path: ${OpenCV_INCLUDE_DIRS}")
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# Declare the executable target built from your sources
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add_executable(${project_name} ${SourceFile})
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# Link your application with OpenCV libraries
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target_link_libraries(${project_name} PRIVATE ${OpenCV_LIBS})
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README.md
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- Visit https://github.com/google/mediapipe/blob/master/docs/solutions/models.md#pose for models of larger scale.
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## Demo
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Run the following commands to try the demo:
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```bash
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# detect on camera input
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# detect on an image
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python demo.py -i /path/to/image -v
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```
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### Example outputs
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- Visit https://github.com/google/mediapipe/blob/master/docs/solutions/models.md#pose for models of larger scale.
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## Demo
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### python
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Run the following commands to try the demo:
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```bash
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# detect on camera input
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# detect on an image
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python demo.py -i /path/to/image -v
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```
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### C++
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Install latest OpenCV and CMake >= 3.24.0 to get started with:
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```shell
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# A typical and default installation path of OpenCV is /usr/local
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cmake -B build -D OPENCV_INSTALLATION_PATH=/path/to/opencv/installation .
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cmake --build build
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# detect on camera input
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./build/opencv_zoo_pose_estimation_mediapipe
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# detect on an image
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./build/opencv_zoo_pose_estimation_mediapipe -m=/path/to/model -i=/path/to/image -v
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# get help messages
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./build/opencv_zoo_pose_estimation_mediapipe -h
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```
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### Example outputs
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demo.cpp
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