Installing and Running MediaPipe on Ubuntu: A Step-by-Step Guide for C++ and Python
0:00 Introduction: The video focuses on installing MediaPipe, a framework for computer vision and AI, with a specific emphasis on using it with C++.
0:24 Installation Steps: The installation process begins with installing Bazel (or Bazelisk), a build tool required for MediaPipe.
0:55 Installing Bazel: The presenter opts to install Bazel using the APT repository method. This involves adding the Bazel distribution URI as a package source and then installing the bazel package.
2:40 Cloning the MediaPipe Repository: After installing Bazel, the next step is to clone the MediaPipe repository from GitHub.
3:47 Configuring OpenCV and FFmpeg: The presenter encounters issues when trying to automatically set up OpenCV and FFmpeg using the provided script.
4:59 Manual Configuration: Since the automatic script fails, the presenter manually configures OpenCV and FFmpeg by copying relevant code snippets into their respective build files within the MediaPipe directory.
5:55 Additional GPU Libraries (Optional): For those with GPUs, additional libraries need to be installed to enable GPU acceleration.
6:33 Running the "Hello World" Example: The presenter compiles and runs a simple "Hello World" C++ example provided by MediaPipe, first using the CPU and then with GPU acceleration.
7:33 Successful Installation: The successful execution of the "Hello World" example confirms that MediaPipe and Bazel are correctly installed.
8:07 Exploring Further: The presenter notes the lack of C++ examples for certain MediaPipe features (like face mesh and face detection) and plans to explore and share more C++ computer vision projects using MediaPipe in the future.
8:38 Conclusion: The video concludes by summarizing the steps taken to install MediaPipe and Bazel, setting the stage for future explorations into MediaPipe's capabilities with C++.