ComfyUI Node: Florence2 Coordinates

Florence2 Coordinates:

Florence2toCoordinates is a node designed to convert JSON-formatted coordinate data into a structured format suitable for further processing in AI models. This node is particularly useful for tasks involving image segmentation, where precise coordinates of objects within an image are required. By transforming the input coordinates into a standardized format, Florence2toCoordinates ensures that both positive and negative points are correctly interpreted and utilized by subsequent nodes or models. This node simplifies the handling of coordinate data, making it easier to integrate into complex workflows without requiring extensive manual preprocessing.

Florence2 Coordinates Input Parameters:

coordinates_positive

This parameter accepts a JSON string representing the positive coordinates of points within an image. The JSON string should be formatted with each coordinate as an object containing x and y values. These coordinates are crucial for identifying the areas of interest in the image. If not provided, the node will not have any positive points to process. There is no specific minimum or maximum value for this parameter, but it must be a valid JSON string.

coordinates_negative

This parameter accepts a JSON string representing the negative coordinates of points within an image. Similar to coordinates_positive, the JSON string should contain objects with x and y values. These coordinates help in identifying areas that should be excluded or treated differently in the image processing task. This parameter is optional, and if not provided, the node will proceed without negative points. There is no specific minimum or maximum value for this parameter, but it must be a valid JSON string if provided.

individual_objects

This boolean parameter determines whether the coordinates should be treated as individual objects or as a single set of points. If set to True, each coordinate will be processed as a separate object, which can be useful for tasks requiring distinct handling of multiple objects. If set to False, all coordinates will be treated as part of a single object. The default value is False.

Florence2 Coordinates Output Parameters:

final_coords

This output parameter provides the combined coordinates of both positive and negative points in a structured format. The coordinates are returned as a NumPy array, which can be easily used in subsequent processing steps. The format ensures that the coordinates are correctly aligned and ready for further analysis or model input.

final_labels

This output parameter provides the labels associated with the coordinates. Positive points are labeled with 1, and negative points are labeled with 0. The labels are returned as a NumPy array, ensuring that each coordinate has a corresponding label. This is essential for tasks that require differentiation between positive and negative points.

Florence2 Coordinates Usage Tips:

• Ensure that the JSON strings for coordinates_positive and coordinates_negative are correctly formatted to avoid parsing errors.
• Use the individual_objects parameter to control whether the coordinates should be treated as separate objects or a single set, depending on your specific use case.
• Verify the output coordinates and labels to ensure they match your expectations before passing them to subsequent nodes or models.

Florence2 Coordinates Common Errors and Solutions:

Invalid JSON format in coordinates_positive

• Explanation: The JSON string provided for coordinates_positive is not correctly formatted.
• Solution: Ensure that the JSON string is properly formatted with double quotes around keys and values, and that it represents an array of objects with x and y properties.

Invalid JSON format in coordinates_negative

• Explanation: The JSON string provided for coordinates_negative is not correctly formatted.
• Solution: Ensure that the JSON string is properly formatted with double quotes around keys and values, and that it represents an array of objects with x and y properties.

Index out of range in data

• Explanation: The index specified in the index parameter is out of the range of available data points.
• Solution: Verify that the index values are within the range of the data points provided. Adjust the index values to match the available data.

Empty data input

• Explanation: The input data is empty, resulting in no coordinates to process.
• Solution: Ensure that the input data contains valid coordinate points. If the data is expected to be empty, handle this case appropriately in your workflow.