1. Basic Use Case: Single Function

1.1. Create and Deploy a Sample Function

Below is an image-manipulation function in Python to use for converting an RGB image to a grayscale image. The function receives a single item, which later can be used as a trigger to invoke the function:

def rgb2gray(item: dl.Item):
    Function to convert RGB image to GRAY
    Will also add a modality to the original item
    :param item: dl.Item to convert
    :return: None
    import numpy as np
    import cv2
    buffer = item.download(save_locally=False)
    bgr = cv2.imdecode(np.frombuffer(buffer.read(), np.uint8), -1)
    gray = cv2.cvtColor(bgr, cv2.COLOR_BGR2GRAY)
    bgr_equalized_item = item.dataset.items.upload(local_path=gray,
                                                   remote_path='/gray' + item.dir,
    # add modality

You can now deploy the function as a service using Dataloop SDK. Once the service is ready, you may execute the available function on any input:

project = dl.projects.get(project_name='project-sdk-tutorial')
service = project.services.deploy(func=rgb2gray,

1.2. Execute the function

An execution means running the function on a service with specific inputs (arguments). The execution input will be provided to the function that the execution runs.

Now that the service is up, it can be executed manually (on-demand) or automatically, based on a set trigger (time/event). As part of this tutorial, we will demonstrate how to manually run the “RGB to Gray” function.

To see the item we uploaded, run the following code: