If you are only using the OpenPose demo, we highly recommend using [the latest Windows portable version of OpenPose](doc/installation/README.md#windows-portable-demo). If you still want to use the demo with Visual Studio, you can copy the `bin/*.dll` files into the final DLL bin location following [doc/installation/README.md#windows](installation/README.md#windows), or you could also simply modify the default flag values from [include/flags.hpp](../include/flags.hpp). If you have copied the DLLs, you can execute this:
```
:: Windows - Library - Assuming you have copied the DLLs following doc/installation/README.md#windows
- Webcam is applied by default (i.e., if no `--image_dir` or `--video` flags used). Optionally, if you have more than 1 camera, you could use `--camera {CAMERA_NUMBER}` to select the right one:
Disclaimer: It is more accurate but also slower and requires more GPU memory.
Disclaimer: It is more accurate but also slower, requires more GPU memory, and must use the Nvidia GPU version.
Our paper accuracy numbers do not match the default model numbers. We released our best model at the time but found better ones later.
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@@ -195,6 +195,8 @@ For our best model, you can download the `BODY_25B` pre-trained model from the O
#### Additional Model with Lower False Positives
Disclaimer: It must use the Nvidia GPU version.
Do you need a model with less false positives but the same runtime performance and GPU requirements? You can download the `BODY_25B` pre-trained model from the OpenPose training repository: [BODY_25B Model - Option 2 (Recommended)](https://github.com/CMU-Perceptual-Computing-Lab/openpose_train/tree/master/experimental_models#body_25b-model---option-2-recommended).
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@@ -330,10 +332,10 @@ In order to learn about many more flags, check [doc/demo_not_quick_start.md](dem
2. Select the OpenPose directory as project source directory, and a non-existing or empty sub-directory (e.g., `build`) where the Makefile files (Ubuntu) or Visual Studio solution (Windows) will be generated. If `build` does not exist, it will ask you whether to create it. Press `Yes`.
3. Press the `Configure` button, keep the generator in `Unix Makefiles` (Ubuntu) or set it to your 64-bit Visual Studio version (Windows), and press `Finish`. Note for Windows users: CMake-GUI has changed their design after version 14. For versions older than 14, you usually select `Visual Studio XX 20XX Win64` as the generator (`X` depends on your VS version), while the `Optional toolset to use` must be empty. However, new CMake versions require you to select only the VS version as the generator, e.g., `Visual Studio 16 2019`, and then you must manually choose `x64` for the `Optional platform for generator`. See the following images as example.
4. Enabling Python (optional step, only apply it if you plan to use the Python API): Enable the `BUILD_PYTHON` flag and click `Configure` again.
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@@ -138,8 +138,8 @@ cmake-gui ..
6. If this step is successful, the `Configuring done` text will appear in the bottom box in the last line. Otherwise, some red text will appear in that same bottom box.
7. Press the `Generate` button and proceed to [Compilation](#compilation). You can now close CMake.
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@@ -366,7 +366,7 @@ OpenPose uses a [custom fork of Caffe](https://github.com/CMU-Perceptual-Computi
Alternatively, you can use your own Caffe distribution on Ubuntu/Mac by 1) disabling `BUILD_CAFFE`, 2) setting `Caffe_INCLUDE_DIRS` to `{CAFFE_PATH}/include/caffe`, and 3) setting `Caffe_LIBS` to `{CAFFE_PATH}/build/lib/libcaffe.so`, as shown in the image below. Note that cuDNN-compatible Caffe version is required in order to get the maximum possible accuracy in OpenPose.
