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PyWunderCam

PyWunderCam is a Python module that enables control of the Wunder 360 S1 panoramic camera from a Python program.

The camera is based on a Rockchip 1108 System on Chip (SoC) running Linux. Within its operating system, it raises three services to serve images and video, control the camera and stream video over a WiFi interface. In addition to these services, the camera presents itself as a standard webcam if connected via USB.

At the time of writing, PyWunderCam interfaces with the first two services and enables functionality that is not possible via the provided mobile phone application.

Streaming video and extended functionality are scheduled for upcoming releases.

Installation

At the moment, installation is recommended directly from this repository with:

pip install git+https://github.com/aanastasiou/pywundercam

Quickstart

    from pywundercam import PyWunderCamAuto
    
    camera_control = PyWunderCamAuto()

Single 360 Shot

    single_photo = camera_control.single_shot()

Continuous (Burst) 360 Shot

    photos = camera_control.continuous_shot()

Altering the ISO, White Balance and Exposure Compensation Modes

Both of the above functions ( .single_shot(), .continuous_shot()) take optional parameters iso, white_balance_mode and exposure_compensation. For more information on the values of camera state parameters, please see pywundercam.CamState.

Storing Images

To store the result of a single shot:

    single_photo[0].save_to("MyImage.jpg")

To store the result of a continuous (burst) shot:

    photos[0].save_to("./")

Worth noting at this point that:

  1. In the case of a single image, all that is required is a filename. When saving the result of a continuous (burst) shot, all that is required is a directory in which all files belonging to the same shot will be stored.

  2. Depending on file sizes and number of shots (in continuous mode), the file transfers might appear to be inserting a small delay in the whole process.

Displaying images

pywundercam makes use of the pillow module and returns images that are ready to be forwarded to Python's ritch ecosystem of image processing modules. A quick way of displaying the image is to use matplotlib.

Continuing from the above example, to display the result of a single shot:

    from matplotlib import pyplot as plt
    
    plt.imshow(single_photo[0].get())
    plt.axis("off")
    plt.show()

And in the case of a continuous (burst) shot, a specific picture out of the set would have to be chosen first:

    plt.imshow(photos[0].get())
    plt.axis("off")
    plt.show()

This concludes the quickstart guide which makes use of PyWunderCamAuto. Although this client allows you to take pictures in single and continuous (burst) modes, the real power of pywundercam is in the underlying client object PyWunderCam that allows finer control over the complete parameter set of the Wunder 360 S1.

You can now browse the rest of the documentation to learn more about exceptions, hardware, and the general design of PyWunderCam.