@@ -104,6 +104,7 @@ Your case if you just want to process a folder of images or video or webcam and
Forget about the OpenPose library details and just read the [doc/demo_overview.md](doc/demo_overview.md) 1-page section.
#### OpenPose Wrapper
Your case if you want to read a specific format of image source and/or add a specific post-processing function and/or implement your own display/saving.
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@@ -111,6 +112,7 @@ Your case if you want to read a specific format of image source and/or add a spe
Note: you should not need to modify the OpenPose source code nor examples. In this way, you are able to directly upgrade OpenPose anytime in the future without changing your code. You might create your custom code on [examples/user_code/](examples/user_code/) and compile it by using `make all` in the OpenPose folder.
#### OpenPose Library
Your case if you want to change internal functions and/or extend its functionality. First, take a look at the [Demo](#demo) and [OpenPose Wrapper](#openpose-wrapper). Second, read the 2 following subsections: OpenPose Overview and Extending Functionality.
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@@ -120,6 +122,7 @@ Your case if you want to change internal functions and/or extend its functionali
3. Adding An Extra Module: Learn how to add an extra module in [doc/library_add_new_module.md](doc/library_add_new_module.md).
#### Doxygen Documentation Autogeneration
You can generate the documentation by running the following command. The documentation will be generated in `doc/doxygen/html/index.html`. You can simply open it with double-click (your default browser should automatically display it).
@@ -104,7 +102,7 @@ You just need to remove the OpenPose folder, by default called `openpose/`. E.g.
### Installation - Library
1. Install the pre-requisites:
1. Microsoft Visual Studio (VS) 2015 Enterprise Update 3. VS Enterprise Update 1 will give some compiler errors, while VS 2015 Community has not been tested.
1. Microsoft Visual Studio (VS) 2015 Enterprise Update 3. VS Enterprise Update 1 and VS 2017 will give some compiler errors, while VS 2015 Community has not been tested.
2.[CUDA 8](https://developer.nvidia.com/cuda-downloads): Install it on the default location, `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0`. Otherwise, modify the Visual Studio project solution accordingly. 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 after installing VS!
3.[cuDNN 5.1](https://developer.nvidia.com/cudnn): Once you have downloaded it, just unzip it and copy (merge) the contents on the CUDA folder, `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0`.
2. Download the OpenPose dependencies and models (body, face and hand models) by double-clicking on `{openpose_path}\windows\download_3rdparty_and_models.bat`. Alternatively, you might prefer to download them manually:
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@@ -129,7 +127,7 @@ You just need to remove the OpenPose folder, by default called `openpose/`. E.g.
3. Open the Windows cmd (Windows button + X, then A).
4. Go to the OpenPose directory, assuming OpenPose has been downloaded on `C:\openpose`: `cd C:\openpose\`.
5. Run the tutorial commands.
7. Check [Quick Start](#quick-start) to test video, webcam and a folder with images, in order to verify OpenPose was properly installed.
7. Check OpenPose was properly installed by running it on the default images, video or webcam: [doc/quick_start.md#quick-start](./quick_start.md#quick-start).
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@@ -158,114 +156,6 @@ If you want to try our OpenPose 3-D reconstruction demo, see [doc/openpose_3d_re
## Quick Start
Check that the library is working properly by using any of the following commands. Note that `examples/media/video.avi` and `examples/media` exist, so you do not need to change the paths. In addition, the following commands assume your terminal (Ubuntu) or cmd (Windows) are located in the OpenPose folder.
This command provides the most accurate results we have been able to achieve for body, hand and face keypoint detection. However, this command will need around 8 GB of GPU memory and runs around 1 FPS on a Titan X.
The visual GUI should show the original image with the poses blended on it, similarly to the pose of this gif:
<palign="center">
<imgsrc="media/shake.gif",width="720">
</p>
If you choose to visualize a body part or a PAF (Part Affinity Field) heat map with the command option `--part_to_show`, the result should be similar to one of the following images:
<palign="center">
<imgsrc="media/body_heat_maps.png",width="720">
</p>
<palign="center">
<imgsrc="media/paf_heat_maps.png",width="720">
</p>
## FAQ
**Q: Out of memory error** - I get an error similar to: `Check failed: error == cudaSuccess (2 vs. 0) out of memory`.
@@ -48,7 +48,7 @@ The program uses 3 cameras by default, but cameras can be added or removed from
### Windows
1.[Install the OpenPose library](installation.md#installation---library) and make sure the [OpenPose demo runs](installation.md#quick-start), so that the required OpenPose library was properly compiled.
1.[Install the OpenPose library](installation.md#installation---library) and make sure the [OpenPose demo runs](quick_start.md#quick-start), so that the required OpenPose library was properly compiled.
2. Open the OpenPose visual studio solution `windows\openpose.sln`.
3. Right-click on `Solution 'OpenPose'` of the `Solution Explorer` window, usually placed at the top-right part of the VS screen.
4. Click on `Properties`. Go to `Configuration Properties` -> `Configuration` and check `Build` for the `OpenPose3DReconstruction` project.
Check that the library is working properly by running any of the following commands. Make sure that you are in the **root directory of the project** (i.e. in the OpenPose folder, not inside `build/` nor `windows/` nor `bin/`). In addition, `examples/media/video.avi` and `examples/media` do exist, no need to change the paths.
This command provides the most accurate results we have been able to achieve for body, hand and face keypoint detection. However, this command will need around 8 GB of GPU memory and runs around 1 FPS on a Titan X.
The visual GUI should show the original image with the poses blended on it, similarly to the pose of this gif:
<palign="center">
<imgsrc="media/shake.gif",width="720">
</p>
If you choose to visualize a body part or a PAF (Part Affinity Field) heat map with the command option `--part_to_show`, the result should be similar to one of the following images:
