17.[The Human Skeleton Looks like Dotted Lines Rather than Solid Lines](#the-human-skeleton-looks-like-dotted-lines-rather-than-solid-lines)
18.[Huge RAM Usage](#huge-ram-usage)
19.[CUDA_cublas_device_LIBRARY Not Found](#cuda_cublas_device_library_not_found)
...
...
@@ -162,3 +163,16 @@ If you wanna use your custom Caffe and it has this error: This error only happen
**Q**: During the execution of the demo, the CPU usage oscillates between 50 and 99%, but the RAM is almost at 100%.
**A**: Highly reducing the `--net_resolution` and following the tips in the [Speed Up, Memory Reduction, and Benchmark](#speed-up-memory-reduction-and-benchmark) section are the only way to reduce the RAM usage. Alternatively, you can disable `USE_MKL` in CMake, which will highly reduce the RAM usage of the Caffe version, but it might also reduce the program speed.
### CUDA_cublas_device_LIBRARY Not Found
**Q**: I encounter an error similar to the following:
```
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_cublas_device_LIBRARY (ADVANCED)
linked by target "caffe" in directory /home/jakebmalis/Documents/openpose/3rdparty/caffe/src/caffe
```
**A**: Make sure to download and install CMake-GUI following the [doc/prerequisites.md](./prerequisites.md) section. This is a known problem with CMake-GUI versions from 3.8 to 3.11 (unfortunately, default Ubuntu 18 CMake-GUI uses 3.10). You will need a CMake version >= 3.12.
@@ -110,96 +110,7 @@ Any problem installing OpenPose? Check [doc/faq.md](./faq.md) and/or post a GitH
### Prerequisites
**Very important**: New Nvidia model GPUs (e.g., Nvidia V, GTX 2080, v100, any Nvidia with Volta or Turing architecture, etc.) require (at least) CUDA 10. CUDA 8 would fail!
In addition, CMake automatically downloads all the OpenPose models. However, **some firewall or company networks block these downloads**. You might prefer to download them manually:
-[BODY_25 model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/body_25/pose_iter_584000.caffemodel): download in `models/pose/body_25/`.
-[COCO model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel): download in `models/pose/coco/`.
-[MPI model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/mpi/pose_iter_160000.caffemodel): download in `models/pose/mpi/`.
-[Face model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/face/pose_iter_116000.caffemodel): download in `models/face/`.
-[Hands model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/hand/pose_iter_102000.caffemodel): download in `models/hand/`.
#### Ubuntu Prerequisites
1. Ubuntu - **Anaconda should not be installed** on your system. Anaconda includes a Protobuf version that is incompatible with Caffe. Either you uninstall anaconda and install protobuf via apt-get, or you compile your own Caffe and link it to OpenPose.
2. Install **CMake GUI**:
- Ubuntu 14 or 16: run the command `sudo apt-get install cmake-qt-gui`. Note: If you prefer to use CMake through the command line, see [CMake Command Line Configuration (Ubuntu Only)](#cmake-command-line-configuration-ubuntu-only).
- Ubuntu 18: **Download and compile CMake-gui from source**. The default CMake-gui version (3.10) installed via `sudo apt-get install cmake-qt-gui` provokes some compiling errors. Required CMake version >= 3.12.
- Uninstall your current Cmake-gui version by running `sudo apt purge cmake-qt-gui`.
- Run `sudo apt-get install qtbase5-dev`.
- Download the `Latest Release` of `CMake Unix/Linux Source` from the [CMake download website](https://cmake.org/download/), called `cmake-X.X.X.tar.gz`.
- Unzip it and go inside that folder from the terminal.
- Run `./configure --qt-gui`. Make sure no error occurred.
- Run `./bootstrap && make -j8 && make install -j8`. Make sure no error occurred.
- Assuming your CMake downloaded folder is in {CMAKE_FOLDER_PATH}, everytime these instructions mentions `cmake-gui`, you will have to replace that line by `{CMAKE_FOLDER_PATH}/bin/cmake-gui`.
3. Nvidia GPU version prerequisites:
1.**Note: OpenPose has been tested extensively with CUDA 8.0 (cuDNN 5.1) and CUDA 10.0 (cuDNN 7.2)**. We highly recommend using those versions to minimize potential installation issues. Other versions should also work, but we do not provide support about any CUDA/cuDNN installation/compilation issue, as well as problems relate dto their integration into OpenPose.
2.**CUDA**:
- Ubuntu 14 or 16 ([**CUDA 8**](https://developer.nvidia.com/cuda-80-ga2-download-archive)**or 10**): Run `sudo ./scripts/ubuntu/install_cuda.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or alternatively download and install it from their website.
- Ubuntu 18 ([**CUDA 10**](https://developer.nvidia.com/cuda-downloads)): Download the latest Nvidia CUDA version from their [official website](https://developer.nvidia.com/cuda-downloads).
- Select "Linux" -> "x86_64" -> "Ubuntu" -> "18.04" -> "runtime (local)", and download it.
- Follow the Nvidia website installation instructions. Make sure to enable the symbolic link in `usr/local/cuda` to minimize potential future errors.
3.**cuDNN**:
- Ubuntu 14 or 16 ([**cuDNN 5.1**](https://developer.nvidia.com/rdp/cudnn-archive)**or 7.2**): Run `sudo ./scripts/ubuntu/install_cudnn.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or alternatively download and install it from their website.
- Ubuntu 18 ([**cuDNN 7.2**](https://developer.nvidia.com/cudnn)): Download and install it from the [Nvidia website](https://developer.nvidia.com/cudnn).
5. AMD GPU version prerequisites:
1. Ubuntu 14 or 16:
1. Download 3rd party ROCM driver for Ubuntu from [**AMD - OpenCL**](https://rocm.github.io/ROCmInstall.html).
2. Ubuntu 18: Not tested and not officially supported. Try at your risk.
6. Install **Caffe, OpenCV, and Caffe prerequisites**:
- Caffe prerequisites: By default, OpenPose uses Caffe under the hood. If you have not used Caffe previously, install its dependencies by running `sudo bash ./scripts/ubuntu/install_deps_and_cuda.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or run `sudo bash ./scripts/ubuntu/install_deps.sh` after installing your desired CUDA and cuDNN versions.
- OpenCV must be already installed on your machine. It can be installed with `apt-get install libopencv-dev`. You can also use your own compiled OpenCV version.
7.**Eigen prerequisite** (optional, only required for some specific extra functionality, such as extrinsic camera calibration):
- If you enable the `WITH_EIGEN` flag when running CMake. You can either:
1. Do not do anything if you set the `WITH_EIGEN` flag to `BUILD`, CMake will automatically download Eigen. Alternatively, you might prefer to download it manually:
-[Eigen3](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/eigen_2018_05_23.zip): Unzip as `3rdparty/eigen/`.
2. Run `sudo apt-get install libeigen3-dev` if you prefer to set `WITH_EIGEN` to `APT_GET`.
3. Use your own version of Eigen by setting `WITH_EIGEN` to `BUILD`, run CMake so that OpenPose downloads the zip file, and then replace the contents of `3rdparty/eigen/` by your own version.
#### Mac OS Prerequisites
1. If you don't have `brew`, install it by running `bash scripts/osx/install_brew.sh` on your terminal.
2. Install **CMake GUI**: Run the command `brew cask install cmake`.
3. Install **Caffe, OpenCV, and Caffe prerequisites**: Run `bash scripts/osx/install_deps.sh`.
4.**Eigen prerequisite** (optional, only required for some specific extra functionality, such as extrinsic camera calibration):
- Enable the `WITH_EIGEN` flag when running CMake, and set it to `BUILD`.
- CMake will automatically download Eigen.
- Alternatively, you can manually download it from the [Eigen3 website](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/eigen_2018_05_23.zip), and unzip as `3rdparty/eigen/`.
#### Windows Prerequisites
NOTE: These instructions are only required when compiling OpenPose brom source. If you simply wanna use the OpenPose binaries for Windows, skip this step.
1. Install **CMake GUI**: Download and install the `Latest Release` of CMake `Windows win64-x64 Installer` from the [CMake download website](https://cmake.org/download/), called `cmake-X.X.X-win64-x64.msi`.
2. Install **Microsoft Visual Studio (VS) 2015 Enterprise Update 3**:
-**IMPORTANT**: Enable all C++-related flags when selecting the components to install.
- Different VS versions:
- If **Visual Studio 2017 Community** is desired, we do not officially support it, but it might be compiled by firstly [enabling CUDA 8.0 in VS2017](https://stackoverflow.com/questions/43745099/using-cuda-with-visual-studio-2017?answertab=active#tab-top) or use **VS2017 with CUDA 9** by checking the `.vcxproj` file and changing the necessary paths from CUDA 8 to 9.
- VS 2015 Enterprise Update 1 will give some compiler errors.
- VS 2015 Community has not been tested.
3. Nvidia GPU version prerequisites:
1.**Note: OpenPose has been tested extensively with CUDA 8.0 and cuDNN 5.1**. We highly recommend using those versions to minimize potential installation issues. Other versions should also work, but we do not provide support about any CUDA/cuDNN installation/compilation issue, as well as problems related to their integration into OpenPose.
- Ubuntu: Run `sudo ./scripts/ubuntu/install_cuda.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or alternatively download and install it from their website.
- Windows: Install CUDA 8.0 after Visual Studio 2015 is installed to assure that the CUDA installation will generate all necessary files for VS. If CUDA was already installed, re-install it.
-**Important installation tips**:
- (Windows issue, reported Sep 2018): If your computer hangs when installing CUDA drivers, try installing first the [Nvidia drivers](http://www.nvidia.com/Download/index.aspx), and then installing CUDA without the Graphics Driver flag.
- If CMake returns and error message similar to `CUDA_TOOLKIT_ROOT_DIR not found or specified` or any other CUDA component missing, then: 1) Re-install Visual Studio 2015; 2) Reboot your PC; 3) Re-install CUDA (in this order!).
- Ubuntu: Run `sudo ./scripts/ubuntu/install_cudnn.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or alternatively download and install it from their website.
- Windows (and Ubuntu if manual installation): In order to manually install it, just unzip it and copy (merge) the contents on the CUDA folder, usually `/usr/local/cuda/` in Ubuntu and `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0` in Windows.
4. AMD GPU version prerequisites:
1. Download official AMD drivers for Windows from [**AMD - Windows**](https://support.amd.com/en-us/download).
2. The libviennacl package comes packaged inside OpenPose for Windows (i.e., no further action required).
5.**Caffe, OpenCV, and Caffe prerequisites**:
- CMake automatically downloads all the Windows DLLs. Alternatively, you might prefer to download them manually:
- Dependencies:
- Note: Leave the zip files in `3rdparty/windows/` so that CMake does not try to download them again.
-[Caffe](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/windows/caffe_2018_01_18.zip): Unzip as `3rdparty/windows/caffe/`.
-[Caffe dependencies](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/windows/caffe3rdparty_2017_07_14.zip): Unzip as `3rdparty/windows/caffe3rdparty/`.
-[OpenCV 3.1](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/windows/opencv_310.zip): Unzip as `3rdparty/windows/opencv/`.
6.**Eigen prerequisite** (optional, only required for some specific extra functionality, such as extrinsic camera calibration):
- Enable the `WITH_EIGEN` flag when running CMake, and set it to `BUILD`.
- CMake will automatically download Eigen.
- Alternatively, you can manually download it from the [Eigen3 website](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/eigen_2018_05_23.zip), run CMake so that OpenPose downloads the zip file, and then replace the contents of `3rdparty/eigen/` by your own version.
Make sure to download and install the prerequisites for your particular operating system following [doc/prerequisites.md](./prerequisites.md).
**Very important**: New Nvidia model GPUs (e.g., Nvidia V, GTX 2080, v100, any Nvidia with Volta or Turing architecture, etc.) require (at least) CUDA 10. CUDA 8 would fail!
In addition, CMake automatically downloads all the OpenPose models. However, **some firewall or company networks block these downloads**. You might prefer to download them manually:
- [BODY_25 model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/body_25/pose_iter_584000.caffemodel): download in `models/pose/body_25/`.
- [COCO model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/coco/pose_iter_440000.caffemodel): download in `models/pose/coco/`.
- [MPI model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/pose/mpi/pose_iter_160000.caffemodel): download in `models/pose/mpi/`.
- [Face model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/face/pose_iter_116000.caffemodel): download in `models/face/`.
- [Hands model](http://posefs1.perception.cs.cmu.edu/OpenPose/models/hand/pose_iter_102000.caffemodel): download in `models/hand/`.
### Ubuntu Prerequisites
1. Ubuntu - **Anaconda should not be installed** on your system. Anaconda includes a Protobuf version that is incompatible with Caffe. Either you uninstall anaconda and install protobuf via apt-get, or you compile your own Caffe and link it to OpenPose.
2. Install **CMake GUI**:
- Ubuntu 14 or 16: run the command `sudo apt-get install cmake-qt-gui`. Note: If you prefer to use CMake through the command line, see [CMake Command Line Configuration (Ubuntu Only)](#cmake-command-line-configuration-ubuntu-only).
- Ubuntu 18: **Download and compile CMake-gui from source**. The default CMake-gui version (3.10) installed via `sudo apt-get install cmake-qt-gui` provokes some compiling errors. Required CMake version >= 3.12.
- Uninstall your current Cmake-gui version by running `sudo apt purge cmake-qt-gui`.
- Run `sudo apt-get install qtbase5-dev`.
- Download the `Latest Release` of `CMake Unix/Linux Source` from the [CMake download website](https://cmake.org/download/), called `cmake-X.X.X.tar.gz`.
- Unzip it and go inside that folder from the terminal.
- Run `./configure --qt-gui`. Make sure no error occurred.
- Run `./bootstrap && make -j8 && make install -j8`. Make sure no error occurred.
- Assuming your CMake downloaded folder is in {CMAKE_FOLDER_PATH}, everytime these instructions mentions `cmake-gui`, you will have to replace that line by `{CMAKE_FOLDER_PATH}/bin/cmake-gui`.
3. Nvidia GPU version prerequisites:
1.**Note: OpenPose has been tested extensively with CUDA 8.0 (cuDNN 5.1) and CUDA 10.0 (cuDNN 7.2)**. We highly recommend using those versions to minimize potential installation issues. Other versions should also work, but we do not provide support about any CUDA/cuDNN installation/compilation issue, as well as problems relate dto their integration into OpenPose.
2.**CUDA**:
- Ubuntu 14 or 16 ([**CUDA 8**](https://developer.nvidia.com/cuda-80-ga2-download-archive)**or 10**): Run `sudo ./scripts/ubuntu/install_cuda.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or alternatively download and install it from their website.
- Ubuntu 18 ([**CUDA 10**](https://developer.nvidia.com/cuda-downloads)): Download the latest Nvidia CUDA version from their [official website](https://developer.nvidia.com/cuda-downloads).
- Select "Linux" -> "x86_64" -> "Ubuntu" -> "18.04" -> "runtime (local)", and download it.
- Follow the Nvidia website installation instructions. Make sure to enable the symbolic link in `usr/local/cuda` to minimize potential future errors.
3.**cuDNN**:
- Ubuntu 14 or 16 ([**cuDNN 5.1**](https://developer.nvidia.com/rdp/cudnn-archive)**or 7.2**): Run `sudo ./scripts/ubuntu/install_cudnn.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or alternatively download and install it from their website.
- Ubuntu 18 ([**cuDNN 7.2**](https://developer.nvidia.com/cudnn)): Download and install it from the [Nvidia website](https://developer.nvidia.com/cudnn).
5. AMD GPU version prerequisites:
1. Ubuntu 14 or 16:
1. Download 3rd party ROCM driver for Ubuntu from [**AMD - OpenCL**](https://rocm.github.io/ROCmInstall.html).
2. Ubuntu 18: Not tested and not officially supported. Try at your risk.
6. Install **Caffe, OpenCV, and Caffe prerequisites**:
- Caffe prerequisites: By default, OpenPose uses Caffe under the hood. If you have not used Caffe previously, install its dependencies by running `sudo bash ./scripts/ubuntu/install_deps_and_cuda.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or run `sudo bash ./scripts/ubuntu/install_deps.sh` after installing your desired CUDA and cuDNN versions.
- OpenCV must be already installed on your machine. It can be installed with `apt-get install libopencv-dev`. You can also use your own compiled OpenCV version.
7.**Eigen prerequisite** (optional, only required for some specific extra functionality, such as extrinsic camera calibration):
- If you enable the `WITH_EIGEN` flag when running CMake. You can either:
1. Do not do anything if you set the `WITH_EIGEN` flag to `BUILD`, CMake will automatically download Eigen. Alternatively, you might prefer to download it manually:
-[Eigen3](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/eigen_2018_05_23.zip): Unzip as `3rdparty/eigen/`.
2. Run `sudo apt-get install libeigen3-dev` if you prefer to set `WITH_EIGEN` to `APT_GET`.
3. Use your own version of Eigen by setting `WITH_EIGEN` to `BUILD`, run CMake so that OpenPose downloads the zip file, and then replace the contents of `3rdparty/eigen/` by your own version.
### Mac OS Prerequisites
1. If you don't have `brew`, install it by running `bash scripts/osx/install_brew.sh` on your terminal.
2. Install **CMake GUI**: Run the command `brew cask install cmake`.
3. Install **Caffe, OpenCV, and Caffe prerequisites**: Run `bash scripts/osx/install_deps.sh`.
4.**Eigen prerequisite** (optional, only required for some specific extra functionality, such as extrinsic camera calibration):
- Enable the `WITH_EIGEN` flag when running CMake, and set it to `BUILD`.
- CMake will automatically download Eigen.
- Alternatively, you can manually download it from the [Eigen3 website](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/eigen_2018_05_23.zip), and unzip as `3rdparty/eigen/`.
### Windows Prerequisites
NOTE: These instructions are only required when compiling OpenPose brom source. If you simply wanna use the OpenPose binaries for Windows, skip this step.
1. Install **CMake GUI**: Download and install the `Latest Release` of CMake `Windows win64-x64 Installer` from the [CMake download website](https://cmake.org/download/), called `cmake-X.X.X-win64-x64.msi`.
2. Install **Microsoft Visual Studio (VS) 2015 Enterprise Update 3**:
-**IMPORTANT**: Enable all C++-related flags when selecting the components to install.
- Different VS versions:
- If **Visual Studio 2017 Community** is desired, we do not officially support it, but it might be compiled by firstly [enabling CUDA 8.0 in VS2017](https://stackoverflow.com/questions/43745099/using-cuda-with-visual-studio-2017?answertab=active#tab-top) or use **VS2017 with CUDA 9** by checking the `.vcxproj` file and changing the necessary paths from CUDA 8 to 9.
- VS 2015 Enterprise Update 1 will give some compiler errors.
- VS 2015 Community has not been tested.
3. Nvidia GPU version prerequisites:
1.**Note: OpenPose has been tested extensively with CUDA 8.0 and cuDNN 5.1**. We highly recommend using those versions to minimize potential installation issues. Other versions should also work, but we do not provide support about any CUDA/cuDNN installation/compilation issue, as well as problems related to their integration into OpenPose.
- Ubuntu: Run `sudo ./scripts/ubuntu/install_cuda.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or alternatively download and install it from their website.
- Windows: Install CUDA 8.0 after Visual Studio 2015 is installed to assure that the CUDA installation will generate all necessary files for VS. If CUDA was already installed, re-install it.
-**Important installation tips**:
- (Windows issue, reported Sep 2018): If your computer hangs when installing CUDA drivers, try installing first the [Nvidia drivers](http://www.nvidia.com/Download/index.aspx), and then installing CUDA without the Graphics Driver flag.
- If CMake returns and error message similar to `CUDA_TOOLKIT_ROOT_DIR not found or specified` or any other CUDA component missing, then: 1) Re-install Visual Studio 2015; 2) Reboot your PC; 3) Re-install CUDA (in this order!).
- Ubuntu: Run `sudo ./scripts/ubuntu/install_cudnn.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or alternatively download and install it from their website.
- Windows (and Ubuntu if manual installation): In order to manually install it, just unzip it and copy (merge) the contents on the CUDA folder, usually `/usr/local/cuda/` in Ubuntu and `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0` in Windows.
4. AMD GPU version prerequisites:
1. Download official AMD drivers for Windows from [**AMD - Windows**](https://support.amd.com/en-us/download).
2. The libviennacl package comes packaged inside OpenPose for Windows (i.e., no further action required).
5.**Caffe, OpenCV, and Caffe prerequisites**:
- CMake automatically downloads all the Windows DLLs. Alternatively, you might prefer to download them manually:
- Dependencies:
- Note: Leave the zip files in `3rdparty/windows/` so that CMake does not try to download them again.
-[Caffe](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/windows/caffe_2018_01_18.zip): Unzip as `3rdparty/windows/caffe/`.
-[Caffe dependencies](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/windows/caffe3rdparty_2017_07_14.zip): Unzip as `3rdparty/windows/caffe3rdparty/`.
-[OpenCV 3.1](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/windows/opencv_310.zip): Unzip as `3rdparty/windows/opencv/`.
6.**Eigen prerequisite** (optional, only required for some specific extra functionality, such as extrinsic camera calibration):
- Enable the `WITH_EIGEN` flag when running CMake, and set it to `BUILD`.
- CMake will automatically download Eigen.
- Alternatively, you can manually download it from the [Eigen3 website](http://posefs1.perception.cs.cmu.edu/OpenPose/3rdparty/eigen_2018_05_23.zip), run CMake so that OpenPose downloads the zip file, and then replace the contents of `3rdparty/eigen/` by your own version.
If you want to increase the accuracy value metric on COCO, while harming the qualitative accuracy, add the flag `--maximize_positives`. It reduces the thresholds to accept a person candidate. It highly increases both false and true positives. I.e., it maximizes average recall but could harm average precision. Our experience is that it looks much worse visually, but it improves the COCO accuracy numbers, so use it at your own risk.
In addition, our paper numbers are not based on the current models that have been released. We released our best model at the time but later found a better one. But given that the accuracy difference is less than 2%, we did not want to release yet another model to avoid confusion for the users (otherwise there would be more than 10 models released at this point). We will release a new one every time a major improvement is achieved.
If you are operating on Ubuntu, you can check the experimental scripts that we use to test our accuracy (we do not officially support it, i.e., we will not answer questions about it, as well as it might change it continuously), they are placed in `openpose/scripts/tests/`, called `pose_accuracy_coco_test_dev.sh` and `pose_accuracy_coco_val.sh`.
