The "SavePoseKpsAsJsonFile" node is part of the ComfyUI ControlNet Auxiliary Preprocessors. This node is designed to save pose keypoints, extracted by pose estimation nodes, into JSON files. These saved files can be used for further processing or analysis outside of the ComfyUI environment. The node is particularly useful in workflows where pose data needs to be saved accurately for subsequent stages, be it machine learning tasks, graphics tasks, or others.
This node facilitates the storage of pose keypoint data in a structured JSON format. It supports both AP10K and OpenPose formats, allowing for flexibility depending on the source of the pose data.
The "SavePoseKpsAsJsonFile" node accepts the following inputs:
Pose Keypoints (pose_kps
): This is the main input where the pose keypoints data is provided. The data should conform to the expected format (either AP10K or OpenPose keypoints).
Filename Prefix (filename_prefix
): A string that serves as a prefix for the output JSON file. This helps in identifying the output files easily when multiple files are being saved.
The node does not produce any direct output as it serves an output function, i.e., saving the data to disk. However, the files generated are JSON files that contain the saved pose keypoints.
The "SavePoseKpsAsJsonFile" node is typically included towards the end of a workflow where pose keypoints have already been extracted and need to be preserved for future use. It is especially useful for developers and users who need a record of the detected poses for machine learning tasks, animation, or further manual analysis.
To use this node within a ComfyUI workflow:
Customizable Filenames: The ability to set a filename prefix enables users to organize their output files systematically. This is particularly useful when handling multiple datasets.
Output Directory: The files are saved in ComfyUI's specified output directory. This ensures all outputs are centralized and easily accessible.
Format Support: The node supports both AP10K and OpenPose formats, which means it can integrate with different pose estimation methods and tools.
Batch Processing Capability: The node is capable of handling batches of images, making it suitable for workflows with high throughput requirements.
The node serves as an essential utility for workflows requiring the export and archival of pose keypoint data, supporting various applications through its organized output format.