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, remote_name=item.name) # add modality item.modalities.create(name='gray', ref=bgr_equalized_item.id) item.update(system_metadata=True)
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, service_name='grayscale-item-service')
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: