@@ -39,7 +39,7 @@ This installation section is only intended if you plan to modify the OpenPose co
-**Ubuntu** 14 and 16.
-**Windows** 8 and 10.
-**Mac OSX** Mavericks and above.
-**Nvidia Jetson TX2**, installation instructions in [doc/installation_jetson_tx2.md](./installation_jetson_tx2.md).
-**Nvidia Jetson TX2**, installation instructions in [doc/installation_jetson_tx2_jetpack3.1.md](./installation_jetson_tx2_jetpack3.1.md) and [doc/installation_jetson_tx2_jetpack3.3.md](./installation_jetson_tx2_jetpack3.3.md).
- OpenPose has also been used on **Windows 7**, **CentOS**, and **Nvidia Jetson (TK1 and TX1)** embedded systems. However, we do not officially support them at the moment.
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@@ -125,14 +125,14 @@ Any problem installing OpenPose? Check [doc/faq.md](./faq.md) and/or post a GitH
4. 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 relate dto their integration into OpenPose.
- Ubuntu: Run `sudo ubuntu/install_cuda.sh` or alternatively download and install it from their website.
- Ubuntu: Run `sudo 3rdparty/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**:
- New Nvidia model GPUs (e.g., Nvidia V, GTX 2080, any Nvidia with Volta or Turing architecture, etc.) require at least CUDA 9.
- (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.
- (Windows): 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.
- Ubuntu: Run `sudo ubuntu/install_cudnn.sh` or alternatively download and install it from their website.
- Ubuntu: Run `sudo 3rdparty/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.
5. AMD GPU version prerequisites:
1. Download official AMD drivers for Windows from [**AMD - Windows**](https://support.amd.com/en-us/download).
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@@ -140,7 +140,7 @@ Any problem installing OpenPose? Check [doc/faq.md](./faq.md) and/or post a GitH
3. Ubuntu only: Install `sudo apt-get install libviennacl-dev`. This comes packaged inside OpenPose for Windows.
4. AMD Drivers have not been tested on OSX. Please email us if you wish to test it. This has only been tested on Vega series cards.
6. Ubuntu - Other 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 ./ubuntu/install_cmake.sh`.
- Caffe prerequisites: By default, OpenPose uses Caffe under the hood. If you have not used Caffe previously, install its dependencies by running `sudo bash ./3rdparty/ubuntu/install_ubuntu_deps_and_cuda.sh` (if Ubuntu 16 or 14 and for Graphic cards up to 10XX) or run `sudo bash ./3rdparty/ubuntu/install_ubuntu_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. Windows - **Caffe, OpenCV, and Caffe prerequisites**:
- CMake automatically downloads all the Windows DLLs. Alternatively, you might prefer to download them manually:
**Highly important**: This script only works with CUDA 8 and Ubuntu 14 or 16. Otherwise, see [doc/installation.md](installation.md) or [Installation - Manual Compilation](#installation---manual-compilation).
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@@ -81,9 +81,9 @@ Alternatively to the script installation, if you want to use CUDA 7, avoid using
cd ../../models/
bash ./getModels.sh # It just downloads the Caffe trained models
# Change any custom flag from the resulting Makefile.config (e.g., OpenCV 3, Atlas/OpenBLAS/MKL, etc.)
make all -j`nproc`
```
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@@ -97,7 +97,7 @@ Alternatively to the script installation, if you want to use CUDA 7, avoid using
make clean
make all -j$(NUM_CORES)
```
**Highly important**: There are 2 `Makefile.config.Ubuntu##.example` analogous files, one in the main folder and one in [3rdparty/caffe/](../3rdparty/caffe/), corresponding to OpenPose and Caffe configuration files respectively. Any change must be done to both files (e.g., OpenCV 3 flag, Atlab/OpenBLAS/MKL flag, etc.). E.g., for CUDA 8 and Ubuntu16: [3rdparty/caffe/Makefile.config.Ubuntu16_cuda8.example](../3rdparty/caffe/Makefile.config.Ubuntu16.example) and [ubuntu/Makefile.config.Ubuntu16_cuda8.example](../ubuntu/Makefile.config.Ubuntu16_cuda8.example).
**Highly important**: There are 2 `Makefile.config.Ubuntu##.example` analogous files, one in the main folder and one in [3rdparty/caffe/](../3rdparty/caffe/), corresponding to OpenPose and Caffe configuration files respectively. Any change must be done to both files (e.g., OpenCV 3 flag, Atlab/OpenBLAS/MKL flag, etc.). E.g., for CUDA 8 and Ubuntu16: [3rdparty/caffe/Makefile.config.Ubuntu16_cuda8.example](../3rdparty/caffe/Makefile.config.Ubuntu16.example) and [3rdparty/ubuntu_deprecated/Makefile.config.Ubuntu16_cuda8.example](../3rdparty/ubuntu_deprecated/Makefile.config.Ubuntu16_cuda8.example).
:: Ceres-compatible version not implemented for Windows yet. Make a pull request if you have a working version in Windows.
```
5. Hint to verify extrinsic calibration is successful:
1. Translation vector - Global distance:
1. Our final reprojection error (after rescaling) for the bundle adjustment step is usually about 0.1-0.15 pixels.
2. Translation vector - Global distance:
1. Manually open each one of the generated XML files from the folder indicated by the flag `--camera_parameter_path` (or the default one indicated by the `--help` flag if the former was not used).
2. The field `CameraMatrix` is a 3 x 4 matrix (you can see that the subfield `rows` in that file is 3 and `cols` is 4).
3. Order the matrix in that 3 x 4 shape (e.g., by copying in a different text file with the shape of 3 rows and 4 columns).
4. The 3 first components of the last column of the `CameraMatrix` field define the global `translation` (in meters) with respect to the global origin (in our case camera 1).
5. Thus, the distance between that camera and the origin camera 1 should be (approximately) equal to the L2-norm of the `translation` vector.
2. Translation vector - Relative x-y-z distances:
3. Translation vector - Relative x-y-z distances:
1. The 3x1 `translation` vector represents the `x`, `y`, and `z` distances to the origin camera, respectively. The camera is looking along the positive `z` axis, the `y` axis is down, and the `x` axis is right. This should match the real distance between both cameras.
3. Added bundle adjustment refinement for camera extrinsic calibration.
4. Added `CameraMatrixInitial` field into the XML calibration files to keep the information of the original camera extrinsic parameters when bundle adjustment is run.
27. Video with the 3D output can be saved with the new `--write_video_3d` flag.
28. Added Mac OpenCL compatibility.
29. Added documentation for Nvidia TX2 with JetPack 3.3.
2. Functions or parameters renamed:
1. By default, python example `tutorial_developer/python_2_pose_from_heatmaps.py` was using 2 scales starting at -1x736, changed to 1 scale at -1x368.
2. WrapperStructPose default parameters changed to match those of the OpenPose demo binary.
