1.**Duplicated posts will not be answered**. Check the [FAQ](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/faq.md) section, other GitHub issues, and general documentation before posting. E.g., **low-speed, out-of-memory, output format, 0-people detected, installation issues, ...**).
2.**Fill** the **Your System Configuration section (all of it or it will not be answered!)** if you are facing an error or unexpected behavior. Feature requests or some other type of posts might not require it.
1.**No duplicated posts, only 1 new post opened a day, and up to 2 opened a week**. Otherwise, extrict user bans will occur.
- Check the [FAQ](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/doc/faq.md) section, other GitHub issues, and general documentation before posting. E.g., **low-speed, out-of-memory, output format, 0-people detected, installation issues, ...**).
- Keep posting all your issues in the same post.
- No bans if you are unsure whether the post is duplicated!
2.**Fill all** the **Your System Configuration section** if you are facing an error or unexpected behavior. Some posts (e.g., feature requests) might not require it.
3.**No questions about training or 3rd party libraries**:
- CUDA check failed errors: They are usually fixed by re-installing CUDA, then re-installing the proper cuDNN version, and then re-compiling (or re-installing) OpenPose. Otherwise, check for help in CUDA forums.
- OpenCV errors: Install the default/pre-compiled OpenCV or check for online help.
4. Set a **proper issue title**: add the Ubuntu/Windows keyword and be specific (e.g., do not call it: `Error`).
- OpenPose only implements testing. For training, check [OpenPose train](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train).
- CUDA/cuDNN check failed errors: They are usually fixed by re-installing CUDA, then re-installing the proper cuDNN version, then rebooting, and then re-installing OpenPose. Otherwise, check Nvidia/CUDA/cuDNN forums.
- OpenCV errors: Install the default/pre-compiled OpenCV or check for OpenCV online help.
4. Set a **proper issue title**: Add the OS (Ubuntu, Windows) and be specific (e.g., do not call it: `Error`).
5. Only English comments.
Posts which do not follow these rules will be **ignored, closed, or reported** with no further clarification.
6. Remove these posting rules from your post but follow them!
Posts which do not follow these rules will be **ignored/deleted** and those **users banned** with no further clarification.
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@@ -30,7 +34,7 @@ Note: add `--logging_level 0 --disable_multi_thread` to get higher debug informa
### Type of Issue
You might select multiple topics, delete the rest:
Select the topic(s) on your post, delete the rest:
@@ -182,9 +182,13 @@ cd 3rdparty/caffe; git apply ../../scripts/osx/mac_opencl_patch.txt
#### Windows
In order to build the project, select and run only one of the 2 following alternatives.
1.**CMake-GUI alternative (recommended)**: Open the Visual Studio solution (Windows) by clicking in `Open Project` in CMake (or alternatively `build/OpenPose.sln`). Then, set the configuration from `Debug` to `Release` and press F7 (or `Build`, `Build Solution`). After it has compiled, and if you have a webcam, you can press the green triangle icon (alternatively <kbd>F5</kbd>) to run OpenPose with the default settings on the webcam.
-**CMake-GUI alternative (recommended)**:
1. Open the Visual Studio solution (Windows) by clicking in `Open Project` in CMake (or alternatively `build/OpenPose.sln`). Then, set the configuration from `Debug` to `Release`.
2. Press <kbd>F7</kbd> (or `Build` menu and click on `Build Solution`).
3.**Important for Python version**: Make sure not to skip step 2, it is not enough to click on <kbd>F5</kbd> (Run), you must also `Build Solution` for the Python bindings to be generated.
4. After it has compiled, and if you have a webcam, you can press the green triangle icon (alternatively <kbd>F5</kbd>) to run the OpenPose demo with the default settings on the webcam.
2. Command-line build alternative (not recommended). NOTE: The command line alternative is not officially supported, but it was added in [GitHub issue #1198](https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/1198). For any questions or bug report about this command-line version, comment in that GitHub issue.
- Command-line build alternative (not recommended). NOTE: The command line alternative is not officially supported, but it was added in [GitHub issue #1198](https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/1198). For any questions or bug report about this command-line version, comment in that GitHub issue.
1. Run "MSVS 2019 Developer Command Console"
```batch
openpose\mkdir build
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@@ -236,7 +240,9 @@ If you do not want to use the Windows portable binaries nor compile it from sour
-[Dockerfile - OpenPose v1.4.0, OpenCV, CUDA 8, CuDNN 6, Python2.7](https://gist.github.com/moiseevigor/11c02c694fc0c22fccd59521793aeaa6).
-[Google Colab helper script](https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/949#issue-387855863): Script to install OpenPose on Google Colab. Really useful when access to a computer powerful enough to run OpenPose is not possible, so one possible way to use OpenPose is to build it on a GPU-enabled Colab runtime and then run the programs there. For questions and more details, read and post ONLY on [issue thread #949](https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/949).
- Google Colab helper scripts: Script to install OpenPose on Google Colab. Really useful when access to a computer powerful enough to run OpenPose is not possible, so one possible way to use OpenPose is to build it on a GPU-enabled Colab runtime and then run the programs there.
-[Google Colab 1/2](https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/1736#issuecomment-736846794): For questions and more details, read and post ONLY on [issue thread #1736](https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/1736).
-[Google Colab 2/2](https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/949#issue-387855863): For questions and more details, read and post ONLY on [issue thread #949](https://github.com/CMU-Perceptual-Computing-Lab/openpose/issues/949).
@@ -36,7 +36,7 @@ These tips are **very important** and avoid many bugs:
- 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`.
- 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 [doc/installation/README.md#CMake-Command-Line-Configuration-(Ubuntu-Only)](README.md#cmake-command-line-configuration-ubuntu-only).
3. Nvidia GPU version prerequisites:
1.**Note: OpenPose has been tested extensively with CUDA 11 for Ubuntu 20, CUDA 10.1 (cuDNN 7.5.1) for Ubuntu 18, and CUDA 8.0 (cuDNN 5.1) for Ubuntu 14 and 16.**. We highly recommend using those versions for those Operating Systems 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.
1.**Note: OpenPose has been tested extensively with CUDA 11.1.1 (cuDNN 8.0.5) for Ubuntu 20**. Older OpenPose versions (v1.6.X and v1.5.X) were tested with **CUDA 10.1 (cuDNN 7.5.1) for Ubuntu 18 and CUDA 8.0 (cuDNN 5.1) for Ubuntu 14 and 16**. We highly recommend using those combinations to minimize potential installation issues. Other combinations should also work, but we do not provide any support about installation/compilation issues related to CUDA/cuDNN or their integration with OpenPose.
2. Upgrade your Nvidia drivers to the latest version.
3.**CUDA**:
- Ubuntu 20 ([**CUDA 11.1**](https://developer.nvidia.com/cuda-downloads)): Download CUDA 11.1 from their [official website](https://developer.nvidia.com/cuda-downloads). Most Ubuntu computers use the `Architecture` named `x86_64`, and we personally recommend the `Installer Type` named `runfile (local)`. Then, follow the Nvidia website installation instructions. When installing, make sure to enable the symbolic link in `usr/local/cuda` to minimize potential future errors.
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@@ -86,7 +86,7 @@ NOTE: These instructions are only required when compiling OpenPose brom source.
- Different VS versions:
- If **Visual Studio 2019 Community** (or 2017) is desired, we do not officially support it, but it should run similarly to VS 2017/2019 Enterprise.
3. Nvidia GPU version prerequisites:
1. **Note: OpenPose has been tested extensively with CUDA 11.1.1 / cuDNN 8.0.5 for VS2019, CUDA 10.1 / cuDNN 7.5.1 for VS2017, and CUDA 8.0 / cuDNN 5.1 for VS 2015**. 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.
1. **Note: OpenPose has been tested extensively with CUDA 11.1.1 (cuDNN 8.0.5) for VS2019**. Older OpenPose versions (v1.6.X and v1.5.X) were tested with **CUDA 10.1 (cuDNN 7.5.1) for VS2017 and CUDA 8.0 (cuDNN 5.1) for VS2015**. We highly recommend using those combinations to minimize potential installation issues. Other combinations should also work, but we do not provide any support about installation/compilation issues related to CUDA/cuDNN or their integration with OpenPose.
2. Upgrade your Nvidia drivers to the latest version (in the Nvidia "GeForce Experience" software or its [website](https://www.nvidia.com/Download/index.aspx)).
3. Install one out of [**CUDA 11.1**](https://developer.nvidia.com/cuda-downloads), [**CUDA 10.1**](https://developer.nvidia.com/cuda-10.1-download-archive-base), or [**CUDA 8**](https://developer.nvidia.com/cuda-80-ga2-download-archive):
- Install CUDA 11.1/10.0/8.0 after Visual Studio 2019/2017/2015 is installed to assure that the CUDA installation will generate all necessary files for VS. If CUDA was installed before installing VS, then re-install CUDA.
