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The StereoVision-DepthEstimation project utilizes computer vision techniques to estimate real-time depth from a webcam. It employs stereo vision and facial feature tracking, providing accurate depth measurements. Explore the world of 3D perception and unlock new possibilities in computer vision.

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StereoVision-DepthEstimation

The StereoVision-DepthEstimation project is a research-based implementation of stereo vision and camera calibration techniques for depth estimation. It utilizes computer vision algorithms to calculate the depth of an object in real-time using a webcam.

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Features

  • Real-time depth estimation using stereo vision principles
  • Facial feature detection and tracking using FaceMeshModule
  • Display of calculated depth on the video stream

Installation

  1. Clone the repository:

git clone https://github.com/your-username/StereoVision-DepthEstimation.git

  1. Install the dependencies:

pip install -r requirements.txt

Usage

  1. Run the main script:
  2. A video stream will open showing the webcam feed.
  3. Ensure that your face is properly visible within the frame.
  4. The depth estimation will be displayed on the video stream.

Contributing

Contributions to the StereoVision-DepthEstimation project are always welcome. If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.

Acknowledgments

  • cvzone - OpenCV-based Python library for computer vision tasks
  • FaceMeshModule - FaceMeshModule from cvzone library for facial feature detection and tracking

Resuls:

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About

The StereoVision-DepthEstimation project utilizes computer vision techniques to estimate real-time depth from a webcam. It employs stereo vision and facial feature tracking, providing accurate depth measurements. Explore the world of 3D perception and unlock new possibilities in computer vision.

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