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Converts JSON crop info to structured data for image cropping tasks, simplifying interpretation and integration in workflows.
The OlmCropInfoInterpreter node is designed to process and interpret crop information provided in JSON format. Its primary function is to extract and convert crop data into a structured format that can be easily utilized for image transformation tasks. This node is particularly beneficial for users who need to handle image cropping operations, as it simplifies the process of interpreting crop boundaries and dimensions. By converting JSON data into a set of numerical values and formatted strings, the node facilitates seamless integration with other image processing workflows. The interpret method is the core of this node, ensuring that the crop data is accurately parsed and returned in a user-friendly format, making it an essential tool for AI artists working with image transformations.
The crop_json parameter is a string that contains the crop information in JSON format. This parameter is crucial as it provides the node with the necessary data to interpret the crop boundaries and dimensions. The JSON string should include keys such as "left", "top", "right", "bottom", "width", and "height", which define the crop area on the image. If the JSON string is empty or malformed, the node will default to using zero values for these parameters. This input does not have specific minimum or maximum values, but it should be a valid JSON string to ensure accurate interpretation.
The left output parameter represents the left boundary of the crop area in pixels. It is derived from the "left" key in the input JSON and indicates the starting horizontal position of the crop.
The top output parameter indicates the top boundary of the crop area in pixels. It is extracted from the "top" key in the input JSON and marks the starting vertical position of the crop.
The right output parameter denotes the right boundary of the crop area in pixels. It is calculated based on the "right" key in the input JSON or defaults to the value of left if not provided.
The bottom output parameter specifies the bottom boundary of the crop area in pixels. It is determined from the "bottom" key in the input JSON or defaults to the value of top if not provided.
The width output parameter represents the width of the crop area in pixels. It is calculated as the difference between the right and left boundaries, ensuring a non-negative value.
The height output parameter indicates the height of the crop area in pixels. It is computed as the difference between the bottom and top boundaries, ensuring a non-negative value.
The csv output parameter is a string that concatenates the crop boundaries and dimensions into a comma-separated format. This output is useful for logging or exporting crop data in a simple text format.
The pretty output parameter provides a human-readable string representation of the crop information, formatted with labels for each boundary and dimension. This output is ideal for displaying crop data in a user interface or for debugging purposes.
crop_json input is a well-formed JSON string to avoid defaulting to zero values for crop boundaries and dimensions.pretty output for easy visualization and verification of the crop parameters, especially when debugging or presenting data to non-technical stakeholders.crop_json input is not a valid JSON string, which prevents the node from interpreting the crop data correctly.crop_json input is a properly formatted JSON string with all necessary keys and values.crop_json input lacks one or more of the required keys ("left", "top", "right", "bottom", "width", "height"), leading to default values being used.crop_json input includes all necessary keys to define the crop area accurately.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.