INSTALL.md

Installation Guide for C++

1. Install TensorRT using TensorRT official guidance.

   Click here for Windows guide

   1. Download the TensorRT zip file that matches the Windows version you are using.
   2. Choose where you want to install TensorRT. The zip file will install everything into a subdirectory called TensorRT-8.x.x.x. This new subdirectory will be referred to as <installpath> in the steps below.
   3. Unzip the TensorRT-8.x.x.x.Windows10.x86_64.cuda-x.x.zip file to the location that you chose. Where:

   • 8.x.x.x is your TensorRT version
   • cuda-x.x is CUDA version 11.6, 11.8 or 12.0

   4. Add the TensorRT library files to your system PATH. To do so, copy the DLL files from <installpath>/lib to your CUDA installation directory, for example, C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y\bin, where vX.Y is your CUDA version. The CUDA installer should have already added the CUDA path to your system PATH.

   Click here for installing tensorrt on Linux.

2. Download and install any recent OpenCV for Windows.

3. Modify TensorRT and OpenCV paths in CMakelists.txt:

   # Find and include OpenCV
   set(OpenCV_DIR "your path to OpenCV")
   find_package(OpenCV REQUIRED)
   include_directories(${OpenCV_INCLUDE_DIRS})
   
   # Set TensorRT path if not set in environment variables
   set(TENSORRT_DIR "your path to TensorRT")
   

4. Build project by using the following commands or cmake-gui(Windows).

   1. Windows:

    mkdir build
   cd build
   cmake ..
   cmake --build . --config Release
   

   2. Linux(not tested):

   mkdir build
   cd build && mkdir out_dir
   cmake ..
   make
   

5. Finally, copy the opencv dll files such as opencv_world490.dll and opencv_videoio_ffmpeg490_64.dll into the <depth_anything_installpath>/build/Release folder.

Tested Environment

• TensorRT 8.6
• CUDA 11.6
• Windows 10