Metadata-Version: 2.4
Name: adaspun
Version: 0.1.0
Summary: Camera-based ADAS perception-to-risk calibration toolkit for monocular and stereo pipelines.
Author: T, Puneeth
Keywords: ADAS,computer vision,stereo vision,conformal prediction,risk calibration,QUBO
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: opencv-python
Requires-Dist: pyyaml
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: pillow
Provides-Extra: yolo
Requires-Dist: ultralytics; extra == "yolo"
Requires-Dist: torch; extra == "yolo"
Provides-Extra: clip
Requires-Dist: open_clip_torch; extra == "clip"
Provides-Extra: quantum
Requires-Dist: qiskit; extra == "quantum"
Requires-Dist: qiskit-aer; extra == "quantum"
Provides-Extra: crypto
Requires-Dist: cryptography; extra == "crypto"
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: black; extra == "dev"
Dynamic: license-file

﻿# ADASPUN

ADASPUN is a local research package for the NeuroSentinel-4D++ ADAS pipeline.

Recommended paper/demo command:
adaspun-v9-robust --cuda --copy-output D:\Puneeth_Adas\outputs\adaspun_phase7a_v9_robust\adaspun_v9_robust.mp4

Development commands:
adaspun-native-video
adaspun-risk-smoke
adaspun-qubo-smoke

This package is currently for local research use. Public PyPI release requires removing hardcoded paths and finalizing licensing.
