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Facilitates image processing workflows with Roboflow API for automation and simplification of tasks.
The CustomWorkflow_1image
node is designed to facilitate the integration of image processing workflows using the Roboflow API. This node allows you to send an image to a specified workflow within a Roboflow workspace, leveraging the power of machine learning models hosted on Roboflow's platform. By providing a seamless interface to interact with these workflows, the node enables you to automate complex image processing tasks such as object detection, classification, or segmentation. The primary goal of this node is to simplify the process of utilizing pre-trained models on your images, making it accessible even to those with limited technical expertise. It offers flexibility in handling multiple outputs, which can include processed images and associated metadata, thus enhancing your ability to derive meaningful insights from visual data.
This parameter specifies the name of the workspace in Roboflow where your desired workflow is located. It is a required string input that identifies the specific environment in which your image processing tasks will be executed. There are no minimum or maximum values, but it should match the exact name of your workspace in Roboflow.
The workflow ID is a required string parameter that uniquely identifies the specific workflow you wish to use within the specified workspace. This ID is crucial for directing your image to the correct processing pipeline. Like the workspace name, it should be an exact match to the ID used in Roboflow.
The API key is a required string input that provides authentication to access the Roboflow API. It ensures that only authorized users can execute workflows within your workspace. This key should be kept confidential and is necessary for all interactions with the Roboflow API.
This optional parameter allows you to provide an image for processing. The image should be in a format compatible with the node, typically as a tensor. If not provided, the workflow will not have an image to process, which may lead to errors.
This optional string parameter specifies the key associated with the input image. It is used to map the image to the correct input field in the workflow. If omitted, the node may not correctly associate the image with the workflow's input requirements.
An optional string parameter that defines the key for the first output image. This key is used to extract the processed image from the workflow's output. If not specified, the node may not return the expected image output.
This optional string parameter specifies the key for the first output string. It is used to retrieve textual data or metadata associated with the first output image. If not provided, you may miss out on important information generated by the workflow.
An optional string parameter for the second output image key. It functions similarly to output_image1_key
, allowing you to access additional image outputs from the workflow.
This optional string parameter is used to specify the key for the second output string, enabling you to access further textual data or metadata from the workflow's output.
An optional string parameter for the third output image key, allowing access to more image outputs if the workflow provides them.
This optional string parameter specifies the key for the third output string, used to retrieve additional textual data or metadata.
An optional string parameter for the fourth output image key, providing access to even more image outputs if available.
This optional string parameter specifies the key for the fourth output string, used to access further textual data or metadata.
This output parameter returns the first processed image from the workflow. It is typically a tensor representing the image after it has undergone the specified processing tasks, such as object detection or segmentation.
This output provides the first string of metadata or textual data associated with output_image1
. It may contain information such as detected object labels or confidence scores.
The second processed image output, similar in nature to output_image1
, providing additional visual data processed by the workflow.
This output provides the second string of metadata or textual data associated with output_image2
, offering further insights or information.
The third processed image output, offering more visual data from the workflow's processing tasks.
This output provides the third string of metadata or textual data associated with output_image3
, delivering additional information or insights.
The fourth processed image output, providing even more visual data from the workflow.
This output provides the fourth string of metadata or textual data associated with output_image4
, offering further insights or information.
workspace_name
, workflow_id
, and api_key
are correctly specified to avoid authentication errors or incorrect workflow execution.workflow_id
does not exist in the given workspace_name
.workflow_id
and workspace_name
are correct and match those in your Roboflow account.input_image1
parameter and that it is correctly formatted.© Copyright 2024 RunComfy. All Rights Reserved.