- [Build Steps](#build-steps-2)
- [Additional Build Options](#additional-build-options-3)
- [Use Custom OpenCV Builds for Inference Engine](#use-custom-opencv-builds-for-inference-engine)
+- [Adding Inference Engine to your project](#adding-inference-engine-to-your-project)
- [(Optional) Additional Installation Steps for the Intel® Movidius™ Neural Compute Stick and Neural Compute Stick 2](#optional-additional-installation-steps-for-the-intel-movidius-neural-compute-stick-and-neural-compute-stick-2)
- [For Linux, Raspbian Stretch* OS](#for-linux-raspbian-stretch-os)
- [For Windows](#for-windows-1)
git submodule init
git submodule update --recursive
```
-2. Install build dependencies using the `install_dependencies.sh` script in the project root folder.
+2. Install build dependencies using the `install_dependencies.sh` script in the project root folder:
+ ```sh
+ chmod +x install_dependencies.sh
+ ```
+ ```sh
+ ./install_dependencies.sh
+ ```
3. By default, the build enables the Inference Engine GPU plugin to infer models on your Intel® Processor Graphics. This requires you to [Install Intel® Graphics Compute Runtime for OpenCL™ Driver package 19.04.12237](https://github.com/intel/compute-runtime/releases/tag/19.04.12237) before running the build. If you don't want to use the GPU plugin, use the `-DENABLE_CLDNN=OFF` CMake build option and skip the installation of the Intel® Graphics Compute Runtime for OpenCL™ Driver.
4. Create a build folder:
```sh
- If the CMake-based build script can not find and download the OpenCV package that is supported on your platform, or if you want to use a custom build of the OpenCV library, refer to the [Use Custom OpenCV Builds](#use-custom-opencv-builds-for-inference-engine) section for details.
-- To build the Python API wrapper, use the `-DENABLE_PYTHON=ON` option. To specify an exact Python version, use the following options:
- ```sh
- -DPYTHON_EXECUTABLE=`which python3.7` \
- -DPYTHON_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.7m.so \
- -DPYTHON_INCLUDE_DIR=/usr/include/python3.7
- ```
+- To build the Python API wrapper:
+ 1. Install all additional packages listed in the `/inference-engine/ie_bridges/python/requirements.txt` file:
+ ```sh
+ pip install -r requirements.txt
+ ```
+ 2. use the `-DENABLE_PYTHON=ON` option. To specify an exact Python version, use the following options:
+ ```sh
+ -DPYTHON_EXECUTABLE=`which python3.7` \
+ -DPYTHON_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.7m.so \
+ -DPYTHON_INCLUDE_DIR=/usr/include/python3.7
+ ```
- To switch off/on the CPU and GPU plugins, use the `cmake` options `-DENABLE_MKL_DNN=ON/OFF` and `-DENABLE_CLDNN=ON/OFF` respectively.
-5. Adding to your project
-
- For CMake projects, set an environment variable `InferenceEngine_DIR`:
-
- ```sh
- export InferenceEngine_DIR=/path/to/dldt/inference-engine/build/
- ```
-
- Then you can find Inference Engine by `find_package`:
-
- ```cmake
- find_package(InferenceEngine)
-
- include_directories(${InferenceEngine_INCLUDE_DIRS})
-
- target_link_libraries(${PROJECT_NAME} ${InferenceEngine_LIBRARIES} dl)
- ```
-
## Build for Raspbian Stretch* OS
> **NOTE**: Only the MYRIAD plugin is supported.
crossbuild-essential-armhf \
git \
wget \
+ cmake \
libusb-1.0-0-dev:armhf \
libgtk-3-dev:armhf \
libavcodec-dev:armhf \
libgstreamer-plugins-base1.0-dev:armhf \
libpython3-dev:armhf \
python3-pip
-
- RUN wget https://www.cmake.org/files/v3.14/cmake-3.14.3.tar.gz && \
- tar xf cmake-3.14.3.tar.gz && \
- (cd cmake-3.14.3 && ./bootstrap --parallel=$(nproc --all) && make --jobs=$(nproc --all) && make install) && \
- rm -rf cmake-3.14.3 cmake-3.14.3.tar.gz
-
```
It uses the Debian\* Stretch (Debian 9) OS for compilation because it is a base of the Raspbian\* Stretch.
git submodule init
git submodule update --recursive
```
-2. Install build dependencies using the `install_dependencies.sh` script in the project root folder.
+2. Install build dependencies using the `install_dependencies.sh` script in the project root folder:
+ ```sh
+ chmod +x install_dependencies.sh
+ ```
+ ```sh
+ ./install_dependencies.sh
+ ```
3. Create a build folder:
```sh
mkdir build
1. Set the `OpenCV_DIR` environment variable to the directory where the `OpenCVConfig.cmake` file of you custom OpenCV build is located.
2. Disable the package automatic downloading with using the `-DENABLE_OPENCV=OFF` option for CMake-based build script for Inference Engine.
+## Adding Inference Engine to your project
+
+For CMake projects, set the `InferenceEngine_DIR` environment variable:
+
+```sh
+export InferenceEngine_DIR=/path/to/dldt/inference-engine/build/
+```
+
+Then you can find Inference Engine by `find_package`:
+
+```cmake
+find_package(InferenceEngine)
+include_directories(${InferenceEngine_INCLUDE_DIRS})
+target_link_libraries(${PROJECT_NAME} ${InferenceEngine_LIBRARIES} dl)
+```
+
## (Optional) Additional Installation Steps for the Intel® Movidius™ Neural Compute Stick and Neural Compute Stick 2
> **NOTE**: These steps are only required if you want to perform inference on Intel® Movidius™ Neural Compute Stick or the Intel® Neural Compute Stick 2 using the Inference Engine MYRIAD Plugin. See also [Intel® Neural Compute Stick 2 Get Started](https://software.intel.com/en-us/neural-compute-stick/get-started)
1. Go to the `<DLDT_ROOT_DIR>/inference-engine/thirdparty/movidius/MovidiusDriver` directory, where the `DLDT_ROOT_DIR` is the directory to which the DLDT repository was cloned.
2. Right click on the `Movidius_VSC_Device.inf` file and choose **Install** from the pop up menu.
-You have installed the driver for your Intel® Movidius™ Neural Compute Stick or Intel® Neural Compute Stick 2.
+You have installed the driver for your Intel® Movidius™ Neural Compute Stick or Intel® Neural Compute Stick 2.
## Next Steps
* [Model Optimizer Developer Guide](https://docs.openvinotoolkit.org/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html)
---
- \* Other names and brands may be claimed as the property of others.
+ \* Other names and brands may be claimed as the property of others.
projects / platform / upstream / dldt.git / commitdiff