{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Encodes and decodes Base64-formatted constant values for ONNX model files, supporting multiple numeric and string data types via CLI or Python API.","skillfed_tags":["onnx-tools","model-editing"],"use_cases":["Modify constant tensor values in ONNX models by exporting to JSON, editing constants, and regenerating the model.","Convert between Base64 and ASCII representations of numeric arrays when working with ONNX constant serialization.","Batch-encode or decode constant values in a Python script as part of an ONNX model transformation pipeline.","Inspect and edit ONNX model constants that have been exported to JSON.","Support workflows that require programmatic modification of ONNX model constants without full model retraining."],"what_it_does":"sed4onnx is a utility for converting constant values in ONNX model files between ASCII and Base64 formats. It sits in a workflow where you export an ONNX model to JSON (with constants Base64-encoded), edit the constant values using sed4onnx to convert them back and forth between human-readable and encoded forms, and then regenerate the modified ONNX file. The package provides both a command-line interface and a Python API with encode() and decode() functions that handle float16, float32, float64, uint8, int8, int16, int32, int64, and string data types.\n\nThe package has no external runtime dependencies and installs as a pure Python wheel, making it lightweight and portable. However, it has been abandoned since late 2022 with no maintenance activity since then, so it will not receive updates, bug fixes, or compatibility patches for newer ONNX or Python versions.","worth_installing":"Yes, if you are actively working with ONNX model constant modification and can tolerate the lack of maintenance. The package is lightweight, has no dependencies, and does one job well. However, if you need ongoing support, compatibility updates, or are starting a new ONNX workflow, consider whether an actively maintained alternative exists or whether the dormant status poses a risk to your project timeline."},"id":"sed4onnx","links":{"html":"https://skillfed.io/packages/sed4onnx","md":"https://skillfed.io/packages/sed4onnx.md","pypi":"https://pypi.org/project/sed4onnx/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-12-30","license_spdx":null,"license_treatment":"permissive","name":"sed4onnx","python_support":"supports_current","summary":"Simple ONNX constant encoder/decoder."},"popularity":{"monthly_downloads":82671,"position":14145,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.5"}