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    • Home
    • Core Technology 
      • Computational Optics Platform
    • Product 
      • BM3D Denoising IP Core
      • Okulo C1
      • Okulo P1
      • Okulo A1
      • Vidu SDK
    • Resources 
      • Computational Imaging Courses
      • Download Center
    • About Us 
      • Introduction
      • Careers
      • Contact Us
    • …  
      • Home
      • Core Technology 
        • Computational Optics Platform
      • Product 
        • BM3D Denoising IP Core
        • Okulo C1
        • Okulo P1
        • Okulo A1
        • Vidu SDK
      • Resources 
        • Computational Imaging Courses
        • Download Center
      • About Us 
        • Introduction
        • Careers
        • Contact Us
      Contact
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      • Connect / Validate / Develop

        Vidu SDK

        Vidu SDK provides cross-platform API-invoking interface that adapts to Point Spread's many cameras in a concise and consistent way. Vidu SDK is devoted to providing a convenient development experience for machine vision. 

        The operating systems and platforms currently supported by Vidu SDK include: Windows/Linux/ROS1/ROS2

         

         

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        Rapid Development

        Complete API

        Vidu SDK provides an API to access Multiple Cameras by Point Spread. The API includes camera settings, data streaming, meta-data fetching, and data saving.

        Vidu SDK provides C, C++ and Python API to help you quickly construct applications. Vidu SDK provides C interfaces based on the GeniCam 3 standard and provides a customized meta-data reading and image saving interface in the same manner.

         

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        Rapid Validation

        Graphical User Interface

        You can use the Vidu Viewer together with Vidu SDK to easily connect to your camera and make your own configurations. The easy-to-use GUI can adapt to multiple cameras, and multiple configurations, uncovering its distinct control functionalities and layout.

        The Viewer can simultaneously display a depth map, an infrared map, a color map and a point cloud. The point cloud can be colorized using the heat map, infrared map, or an RGB color image.

         

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        Agile Programming

        Code Examples

        In the code examples, we demonstrate how to configure cameras in real-life scenarios to make use of distance mode, exposure, gain, and filtering strength.

        The code examples use the general computer vision library OpenCV as the displaying tool. You can also use other OpenCV libraries to perform image data processing.

        In other samples, we demonstrate how to obtain your camera's intrinsics and extrinsics. This same information is also used by the camera or SDK to compute point clouds with depth or color images.

         

         

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        pointspread
        Pointspread Technology is committed to revolutionizing the field of computational photography and computational optics with the world's leading computational imaging technology. We are committed to revolutionizing the field of computational photography and computational optics with the world's leading computational imaging technology, driving revolutionary advances in consumer electronics, automotive, and industrial imaging. Pointspread Technology introduces the latest RGBD camera, Okulo P1, which supports up to 120 fps aligned color point cloud output, ultra-low latency, and industrial grade IP67 protection.
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