Vectorize GPX backflow computations #38

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redmond2742 wants to merge 1 commit into main from codex/refactor-gpx-processing-for-performance

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redmond2742 commented Jun 12, 2025

Summary

speed up GPXPoint.backflow with NumPy vectorisation
gracefully fall back to OpenCV if ffmpeg is missing
allow shorter extra_out tuples in CLI helper

Testing

pytest -q
`python - <<'PY'
import sys, pandas as pd, geopy
from datetime import datetime, timezone
sys.path.append('src')
from ssoss.motion_road_object import GPXPoint
from ssoss.static_road_object import Intersection
N=100000
ints=[Intersection(i,("A","B"),geopy.Point(0,i*1e-6),spd=(25,25,25,25),bearing=(0,90,180,270)) for i in range(N)]
df=pd.DataFrame({'intersection_obj':ints})
pt=GPXPoint(0, datetime.now(timezone.utc).isoformat(), (0.0,0.0), 10)
import timeit
print(timeit.timeit(lambda: pt.backflow(df,'intersection'), number=1))
PY

https://chatgpt.com/codex/tasks/task_e_6849f7a52208832ba62394286f70d18c


          Optimize backflow with vectorization

316bf2d

redmond2742 added the codex label

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ChatGPT Codex Connector

redmond2742 force-pushed the main branch from f005ac6 to 7707a6e Compare

June 13, 2025 22:21

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